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The Everyday AI podcast is a daily livestream, podcast and free newsletter where we help everyday people grow their careers with AI. The Everyday AI podcast is hosted by Jordan Wilson, a former journalist who’s now the owner of a boutique digital strategy company with 20 years of martech experience. Our main focus is to help you keep up with AI trends to make your job easier. Get your work done faster. Increase your output. – Sign up for our free Prime Prompt Polish ChatGPT course: https://podPPP.com- Make sure to sign up for our daily newsletter at: https://youreverydayai.com- Email us: [email protected] Connect with Jordan on LinkedIn: https://www.linkedin.com/in/jordanwilson04/In the Everyday AI podcast, we’ll cover all things artificial intelligence, machine learning, and practical tips on how to use both in your daily life. We’ll include a touch on a variety of topics, software and applications. We may be covering the latest AI news from Microsoft, Google, Facebook, Adobe and social channels like Snapchat, Tiktok, and Instagram. Or, we may be diving into software like ChatGPT, Midjourney, Bard, or Runway ML.
The podcast Everyday AI Podcast – An AI and ChatGPT Podcast is created by Everyday AI. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
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Why AI agents? And why now? You've prolly been seeing all the buzz around AI agents lately. Same. Here's the thing, though. There's more to them than meets the eye. Scott Beechuk joins us to dive in deep and tell ya what you need to know.
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Topics Covered in This Episode:
1. Current State of AI Agents
2. Challenges in AI to AI Interactions
3. Guardrails in AI
4. Humans’ Roles in AI Integration
5. AI Agent Use Cases
6. Future of AI Agents
Timestamps:
00:00 AI agents are mainstream, bridging future enterprise work.
05:28 Technological shifts drive innovation, advancing AI capabilities.
07:40 Automate knowledge tasks and complex problem-solving cautiously.
10:25 AI complexity requires new quality assurance strategies.
15:53 AI agents optimize customer service interactions effectively.
19:39 AI's future: Multimodal interactions with voice, video.
23:51 AI enhances customer relationship building and sales effectiveness.
26:57 AI development tools advancing, with complex AI interactions.
29:13 Tracing AI interactions lacks standard communication protocols.
31:41 Build companies by working backward for efficiency.
Keywords:
AI advancements, GitHub Copilot, Microsoft's WorkLab, AI guardrails, OpenAI, AI in sales, AI in customer engagement, Scott Beechuk, AI agents, machine learning, generative AI, ChatGPT, customer service, transparency in AI usage, automating customer outreach, multimodal future of AI, AI development, R&D in AI, AI systems' risks, Cursor, Zencoder, Replicant, Jordan Wilson, Norwest Venture Partners, Software development, Anthropic, Salesforce, EveryDay AI podcast, data privacy in AI, brand integrity with AI
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In the age of AI, your ideas are worth nothing. For reals. If you really wanna innovate, you've gotta learn to move on from ideation to execution. Easier said than done, right? What if you could steal the game plan from the former head of Innovation at PayPal, Mike Todasco? Well now you can.
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Topics Covered in This Episode:
1. Applications and Capabilities of LLMs
2. Approach to AI for Non-Technical Users
3. Future Changes and Challenges with AI
4. Role of AI in Creativity and Business Innovation
5. Adapting to AI and Challenges for Big Companies
Timestamps:
00:00 AI democratizes innovation for all, experts unnecessary.
05:19 Unqualified at PayPal, led mobile innovation.
07:39 Russian hackers drove PayPal's innovation culture.
11:51 AI tools were revolutionary for non-engineers.
15:12 Language models evolving; accessible to nontechnical users.
19:31 Claude for writing, ChatGPT for math tasks.
22:54 My brainstorming partner after initial planning stage.
25:45 AI makes idea generation easier; taste crucial.
27:37 Execution outweighs idea value; execution is key.
32:03 Companies face challenges adapting to new futures.
34:34 Listen to the WorkLab podcast from Microsoft.
37:03 Obsess over solving your customer's problems first.
42:37 Embrace curiosity, experimentation with AI tools.
44:52 Sign up for the free daily newsletter.
Keywords:
Large Language Models, Multimodality Features, Non-Technical Users, Personal Use Case, GPT, Dietary Advice, Model Experimentation, Suitable Models, User Interface, Google Gemini, Microsoft Copilot, Innovation, Everyday AI Podcast, Microsoft's WorkLab Podcast, Mike Todasco, Silicon Valley, PayPal, AI and Future Changes, Innovation Challenges, AI Progress and Investment, AI Agents, Business Innovation, Brainstorming Process, Role of AI in Creativity, Value of Ideas vs. Execution, Human Traits, Unlearning and Adapting, Challenges for Big Companies, Generative AI, GPT-3.
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Ya know how in big cities there’s a mix of cars and buses? It’s a symbiotic symphony of private vehicles and public transportation sharing the road. Can AI be like that? Nik Marda, the Technical Lead, AI Governance at Mozilla joins us to help us build that path.
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Topics Covered in This Episode:
1. Public AI Explained
2. Public AI Implementations and Limitations
3. Trustworthiness and Concerns in AI Models.
4. AI Integration in Daily Life
5. Funding and Investment Needs for Public AI
Timestamps:
00:00 Public AI promises a safer, smarter future.
04:00 AI needs balance: commercial and public infrastructure.
07:41 Public-private AI ecosystems can symbiotically coexist.
12:34 Prioritize AI safety with smaller, quality datasets.
15:38 Public AI models, data, and infrastructure needed.
19:36 Public AI prioritizes trust, safety, accessibility, accountability.
23:51 Public AI approaches offer control and cost benefits.
27:56 Diversify AI sources for improved organizational resiliency.
30:12 Public AI offers open-source, mission-focused alternatives.
Keywords:
Public AI, Private AI, AI application development, Llama, OpenAI, Google, investment in AI, public AI initiatives, Olmo, Falcon 40b, AlphaFold 2, Mozilla's Common Voice, National AI Research Resource, FAST, India AI, AI Factories, AI vendors, AI systems, AI Trust, AI Accountability, AI Governance, Mozilla, commercial AI infrastructure, sensitive data, public-private structures, closed proprietary AI models, open-source AI models, AI integration, incentive structure, proprietary AI systems.
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Everywhere you turn.... AI agents. These past few months more than ever, the biggest companies and hottest startups have seemingly gone bonkers for AI agents. Why? And, what the heck are they? We'll give you the 101 on all things agents.
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Topics Covered in This Episode:
1. AI Agents Explained
2. Future of AI Agents
3. Corporate Adoption
4. Economic Impact
5. Ethical Concerns
Timestamps:
02:30 What are AI agents?
06:30 AI agents have become mainstream in companies.
11:37 Human-AI collaboration saves billions for companies.
15:26 Microsoft's contextual memory aids business interactions greatly.
18:16 Salesforce uses autonomous agents, deep CRM integration.
23:14 Develop AI for complex language tasks understanding.
25:03 Defining an AI agent and core functions.
29:02 AI agents surpass large language models due tool access.
32:35 Recent AI advancements by Meta, Google, OpenAI, Microsoft, Salesforce
36:53 Chatbots now effective using natural language processing.
39:27 AI agents manage tasks using natural language triggers.
44:02 Challenges, opportunities in agent interfaces and tools.
45:28 Insufficient guardrails can make autonomous AI unsafe.
51:29 Future work demands creativity; AI integration inevitable.
Keywords:
Natural Language Processing, AI in Customer Service, AI Tools, Microsoft Copilot Studio, Zapier, AI in Sales and Marketing, Coding with AI, Replit agents, Cursor AI, Devon from Cognition, Future of AI Agents, Salesforce, Benefits of AI Agents, Challenges of AI Agents, Bias in AI, Ethical Concerns in AI, AI Agents Discussion, Corporate Adoption of AI, AI Accessibility, Economic Impact of AI, Productivity and Efficiency in AI, AI News, AI in Workforce, AI in stock market, Future Trends in AI, Business strategies for AI, Workplace fairness, AI in everyday work, Agentic models of OpenAI, Ethical Decisions in AI.
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GPT-5 is delayed. So is Copilot Recall Annnnd Google's Project Astra?
While Big Tech is facing AI delays, Anthropic is shipping, the Chinese military is reportedly using Meta's open Llama model, and LinkedIn has a new AI agent to do its recruiting. Here's this week's AI news that matters.
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Topics Covered in This Episode:
1. ChatGPT Search
2. Google AI gets real-time search
3. Anthropic Claude gets updates
4. OpenAI GPT-5 delayed
5. Google's Project Astra delayed
6. Microsoft Recall feature delayed
7. China hacks Meta’s Llama model
Timestamps:
00:00 Improved ChatGPT: deeper engagement, Google-like search.
04:42 Google unveils real-time search for Gemini AI.
07:09 OpenAI and Google's strategies differ for developers.
12:30 Google demonstrates delayed Project Astra with computer vision.
15:52 Recall testing postponed; opt-in feature due December.
17:34 Microsoft may rebrand AI as Windows Intelligence.
23:26 LinkedIn aims to automate 80% of recruiting tasks.
26:45 China uses open models for military purposes.
28:45 Sam Altman confirms no imminent GPT-5 release.
32:05 OpenAI prioritizes reasoning models; GPT-5 delayed.
35:08 AI updates: LinkedIn, Meta, Reddit AMA, and more.
Keywords:
ChatGPT, New Search Tool, Google, Gemini AI, AI Business Competition, Anthropic, PDF processing system, AI Industry Trends, Jordan Wilson, Google Project Astra, Microsoft Copilot Plus Recall Feature, Windows Intelligence, Microsoft Rebranding, advanced voice mode feature, DALL-E, Soarra, GPT-5, Search GPT, Claude Mac app, LinkedIn AI hiring assistant, China, Meta’s Llama model, military AI development, Sam Altman, Reddit AMA, Australia, rebranding, Copilot, potential bias, export restrictions.
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It's the trillion dollar AI question. When will we achieve Artificial General Intelligence? (And what the heck is it, anyway?) We'll give you the 101 on what you need to know, and one secret that could be holding the official discovery back.
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Join the discussion: Ask Jordan questions on AGI
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Topics Covered in This Episode:
1. Definition of AI, AGI and ASI
2. Evolution of AGI
3. Impacts of Advancements in AGI
4. Future of AGI
Timestamps:
02:00 When is AGI coming?
09:54 Machines performing tasks requiring human intelligence.
13:10 Generative AI brings impressive outputs through language.
14:04 Generative AI democratizes US AI capabilities; narrow compared.
19:00 Correct prompting with PPP course at podpp.com.
20:52 Big tech companies openly working toward AGI now.
25:37 AGI development inevitable, desirable, surpassing human capabilities.
28:16 Pre-2020, experts said AGI was 80 years away.
31:25 Criticism of experts in generative AI misunderstandings.
33:49 Has AI's definition of AGI changed?
37:21 Definition of AGI has evolved over time.
40:45 Partnership between Microsoft and OpenAI pivotal.
45:21 OpenAI benefits from important Microsoft partnership changes.
47:08 Tech companies must focus on AGI development.
Keywords:
AGI, Artificial General Intelligence, OpenAI, Microsoft, partnership, AI development, AI startup, Anthropic, copyright infringement, Google's Gemini team, Token offering, AI models, USAID, ChatGPT Enterprise, AI pace estimation, AI evolution, Artificial Superintelligence, AI prediction chart, ARK Invest, GPT 3 technology, Traditional AI, Generative AI, AI democratization, AGI benchmark, ChatGPT course, AI startups, Big tech companies, AGI cost reduction, Future of work, Everyday AI podcast.
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There’s very few people in the world as qualified as Xuedong Huang to talk about AI-first workplaces. For real. Now the CTO of Zoom, Xuedong (Known as XD) previously spent 30+ years bringing productivity software working at Microsoft. So, what do we need to know? Xuedong's gonna share all!
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Topics Covered in This Episode:
1. Changes in the Workplace Due to AI
2. Adapting an AI-First Workplace
3.Integration of GUI and Conversational User Interface
Timestamps:
00:00 Technology, AI transform modern workplace productivity.
06:42 Effective transition to future work with AI.
08:33 Daily assistant enhances productivity and information consumption.
11:18 AI changes productivity in meetings, reading, writing.
16:58 Appreciate expert insights on strategic AI application.
17:35 Charting future for widely-used technology products.
20:42 Unlearn habits; embrace AI in the workplace.
25:46 Hope and advice for AI-driven workplaces.
Keywords:
Zoom, AI Companion, Generative AI, AI First Workplace, AI Tools, Large Language Models, Productivity, Technology, Microsoft, Google, Google Docs, Microsoft Word, Internet, Workplace, Mobile Phones, Web, Cloud, Action Items, Meetings, email, Typewriter, Desktop Computing, Collaboration, Task Tracking, Anthropic, Google Gemini, GBT 4, GUI, AUI, Web Search
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Most college kids aren't actually learning AI. They're just using ChatGPT to write their papers. Problem? Yes. Is there a solution? Well, there's some good next steps, and Jason Gulya. He joins us to discuss.
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Topics Covered in This Episode:
1. AI in Education Over Time
2. Challenges and Shifts in Attitudes towards AI
3. AI's Impact on Employability
4. Institutional Diversity and Approach to AI Adoption
5. Teaching with AI
Timestamps:
00:00 AI's controversial impact on college education.
05:19 Banning AI use impractical; students need skills.
09:35 Colleges need to prioritize job-focused education.
11:28 AI classroom integration varies widely across universities.
14:31 Chatbots enhance scenario-based learning's practical application.
17:12 Faculty adapting to technology, resistance declining.
22:35 Rediscover Grammarly; explore generative AI features.
23:23 Limitation on usage of Microsoft's new features.
29:23 Students find school easy using chat GPT.
32:38 Professors' approaches vary; change is expected soon.
33:25 Institutional guidelines needed for consistent AI policies.
37:06 Reevaluating essay assignments in colleges is beneficial.
Keywords:
AI in education, generative AI, Everyday AI podcast, ChatGPT, Jordan Wilson, Jason Gulya, AI impact on job market, AI integration in education, colleges' approach to AI, technological literacy, AI resistance, faculty attitudes toward AI, student involvement, institutional policies, environmental considerations, student experience with AI, faculty communication, AI content detectors, trust in education, teaching strategy with AI, challenges with AI adoption, institutional change, cultural shift in academia, teaching with AI, future of AI in education, role of AI in colleges, AI scale teaching method, AI discussions in education, impact of AI on teaching practices, AI readiness for workforce.
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Wanna learn Claude's new agentic AI? Got 30ish minutes? This is the show for you then. In short -- Computer Use is an agentic AI system where you can control a virtual computer just by talking to Claude. Join us as we break it down.
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Topics Covered in This Episode:
1. Overview of Anthropic Claude
2. How to Use Claude Computer Use
3. Critiques of Anthropic's Tools
4. Future of AI Agents
Timestamps:
00:00 AI agents essential in businesses by 2025.
04:48 Google developing AI agent 'Jarvis'; competition intensifies.
10:01 Using an API key; GitHub shares code.
11:22 Docker is a versatile containerization tool for developers.
15:36 Claude Sonnet 3.5 limits commands despite plans.
17:08 Replace placeholder with copied API key.
23:17 Demonstrating computer vision on a virtual desktop.
25:33 Claude retained information without website visit.
29:31 Experiencing repeated errors toggling between applications.
30:49 Visit everydayai.com, list latest 3 episodes.
35:10 Word document created with AI episode summaries.
37:12 Direct AI with simple code; needs improvement.
Keywords:
Jordan Wilson, Claude AI, language model, Everyday AI Podcast, podcast summaries, document formatting, model interaction, AI errors, AI execution challenges, API key, Docker usage, virtual desktop, Word document creation, live stream, Anthropic updates, Claude free plan, API key security, Docker installation, Service tier levels, GitHub repositories, AI in Business, Claude's updates, Google Project Jarvis, OpenAI, Microsoft, Salesforce Agent Force, Amazon Bedrock, Google Cloud's Vertex AI, AI agents, Application Programming Interfaces.
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This is all bonkers. Google’s Gemini 2.0 and ChatGPT-5 could both drop in December. Are we about to see an AI showdown? OpenAI’s AGI chief just quit, warning: we’re not prepared for what’s coming. Congress stalling on funding the U.S. AI Safety Institute. If it collapses, who’s keeping AI in check? Here's this week's AI news that matters!
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Topics Covered in This Episode:
1. Google's Project Jarvis
2. OpenAI's upcoming AI, Orion
3. US AI Safety Institute
4. Disney's upcoming AI initiative
5. Release of Anthropic's AI model
6. Apple's AI efforts
Timestamps:
00:00 Google Gemini 2.0 promises AI improvements, challenges.
05:02 AGI concerns prompt OpenAI departure, influence aims.
09:28 Coalition urges Congress to secure AISI's future.
12:34 US unveils AI strategy for national security.
16:21 iOS 18.1 released; AI requires iPhone 15 Pro.
17:25 iOS 18.1 enhances writing tools and summarization.
22:37 Disney to announce major AI creative transformation.
27:35 Claude 35 Sonnet: Powerful but buggy automation tool.
28:22 Anthropic impressively shipped agentic AI first.
33:14 Google's Jarvis uses computer vision; early development.
36:31 AI-generated video indistinguishable from real; early stages.
38:45 Orion upgrade enhances AI efficiency across industries.
41:16 No Orion release before December, says Altman.
44:22 Google Gemini, GPT-5, AGI concerns, AI strategies.
47:06 Subscribe, follow, rate, share, and join daily.
Keywords:
Jordan Wilson, Google's Project Jarvis, Gemini, web automation, AI agents, Microsoft's Copilot Vision, Copilot Studio, Anthropic, OpenAI, Orion, GPT Tool, AI advancements, AI safety, US AI Safety Institute, AI benchmarks, Microsoft Surface laptop, Disney AI initiative, Anthropic Claude 3.5 SONNET, Claude 3.5 Haiku, Sam Altman, Orion's release, Microsoft's Ignite Conference, Google Gemini 2.0, federal AI legislation, AI national security, Character AI, Google lawsuit, Apple iOS 18.1, Apple Intelligence, revamped Siri.
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Can we be too productive with GenAI? Yeah, we're getting more done—but what are we losing in the process? And when does efficiency start to harm creativity and well-being and what can we do about it? Yen Anderson, Copilot Champ, Azure and AI Microsoft, join us as we dig into the duality of AI productivity.
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Topics Covered in This Episode:
1. Training and evolution of AI use
2. Practicality and use of AI in daily tasks
3. AI adoption, productivity, and deep insights
4. Highlight of Copilot’s utility
Timestamps:
02:20 Daily AI news
04:30 About Yen and her role at Microsoft
05:36 Microsoft's Copilot Studio announcements create significant buzz.
08:35 AI reduces meeting overload, improves efficiency.
11:27 Delegated tasks to Copilot; improved workflow efficiency.
15:24 Balancing tasks between humans and AI efficiently.
18:19 Using Copilot for insights, energy management, brainstorming.
21:46 Check out WorkLab podcast by Microsoft for insights.
23:17 Experimentation is key to advancing chatbot capabilities.
28:27 Balance productivity with rest, family, and joy.
30:33 Start small, improvements compound, learning curve eases.
32:22 Constantly sharing knowledge and receiving feedback.
Keywords:
Yen Anderson, Copilot, repetitive administrative tasks, document creation, brainstorming, flexibility, user control, advancing human potential, Microsoft 365, Microsoft Graph, AI training, AI experimentation, AI security and privacy, WorkLab podcast, Generative AI Community, AI learning opportunities, LinkedIn, AI in daily tasks, Microsoft 365 Copilot licenses, mental health, verification and accuracy, continuous learning, Jordan Wilson, Claude by Anthropic, OpenAI Orion, back-to-back meetings, AI benefits, intentional workflow changes, joy versus efficiency, self-care.
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The talent pool is shrinking, and companies are scrambling to stay ahead. But while most are hesitant to dive into AI, the real fear should be falling behind those who are. Want to know how AI can drive the shift you’ve been waiting for? Karrie Sullivan, CEO and Founder of Culminate Strategy Group, joins us to discuss what it takes to not just survive—but thrive—in the talent crisis.
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Organizational & Leadership Resilience
2. Adoption of AI in the Workplace
3. Use Cases for AI Implementation
4. Psychological Strategy for AI Adoption
5. Generational Workforce Changes
Keywords:
Karrie Sullivan, AI, organizational resilience, leadership resilience, change management, FOMO, social pressure, early adopters, command and control leadership styles, baby boomer retirement, workforce challenges, AI adoption, generative AI solutions, Copilot, results drivers, AI integration strategy, AI use cases, podcast promotion, Microsoft WorkLab podcast, Everyday AI podcast, HUGS open-source software, AI lawsuit, Apple AI features, Culminate Strategy Group, ChatGPT, psychological strategy, communication challenges, behavioral change, coaching with AI, generational workforce changes.
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AI can use computers now? Yup. With Claude 3.5 Sonnet updates, Anthropic's LLM now has access to 'Computer Use.' Is this new mode going to change how we use LLMs? And what else is noteworthy with Claude's new updates in 3.5? We'll go over it all.
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Topics Covered in This Episode:
1. Claude 3.5 Updates
2. Computer Use Feature
3. API and Pricing
4. Model Benchmarks
5. Potential for Business Applications
Timestamps:
02:15 Daily AI news
05:10 New updates from Anthropic
06:32 Claude excels in human-like writing, lacks connectivity.
09:56 Claude 3.5 updates: SONNET new, now labeled.
11:36 New computer use excels with unstructured data.
14:39 Discuss Anthropic's unique API and pricing strategy.
18:13 Claw 3.5 SONNET excels in benchmark comparisons.
23:07 Cherry-picking without fair benchmarks undermines credibility.
26:33 PPP course improves prompt usage effectively.
27:37 Model omitted; operates logically using chain-of-thought.
31:17 Anthropic omitted model to avoid poor benchmarks.
37:09 Automated research and planning for sunrise viewing.
39:40 New tech handles errors; works with unstructured data.
43:44 Utilizes screenshots for computer vision, correcting issues.
46:02 Using the API quickly exhausts token limits.
48:38 Evaluate potential business impact of Anthropic's feature.
Keywords:
Anthropic, AI technology, programming a virtual computer, future implications for businesses, OpenAI, shipping product in beta, SONNET 35, Haiku 35, AI in future work environments, daily AI newsletter, computer use feature, Robotics Process Automation (RPA), API and Pricing, Claude 3.5 SONNET, benchmarks, community engagement, Jordan Wilson, Claude's natural language interface, Docker, Amazon Bedrock, Google Cloud's Vertex AI, MMLU Benchmark, Coding Benchmark, Math Problem Solving, Chain of Thought Reasoning, Host's Opinion, Prime Prompt Polish Course, Stability AI, Midjourney, Canva
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Think AI is just gonna fade into the wind? Like.... once the ChatGPT hype dies down? Think again shorties. One of the world's largest companies just silently went all in on autonomous AI agents. What did Microsoft announce and what does it all mean? We'll break it all down.
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Topics Covered in This Episode:
1. Microsoft's Autonomous AI Agents
2. Revolution of Autonomous AI Agents
3. Rise of Autonomous AI Agents
4. Autonomous AI Agent Competition
5. Promising Future Prospects
Timestamps:
02:45 Daily AI news
05:25 Microsoft announces Copilot autonomous agents in London.
08:34 Autonomous AI agents complete tasks without humans.
10:48 Run continuously, triggered by real-time data connection.
17:03 Listen to WorkLab Podcast for actionable insights.
18:27 Microsoft AI event lacked visibility and attention.
23:45 AI enhances understanding via a universal interface.
25:12 OpenAI's reasoning model excels, revolutionizes human-like thinking.
29:10 AI agent processes emails, plans actions autonomously.
31:24 Microsoft's agent processes engagement leads using AI.
34:46 Now autonomous, no duct tape or third-party.
37:55 Agent Force similar to Microsoft's autonomous AI.
Keywords:
Jordan Wilson, Microsoft, Salesforce, AI technology, OpenAI, Anthropic, autonomous AI agents, AI tour in London, Satya Nadella, Microsoft 365 Graph, Dataverse, Fabric, WorkLab podcast, Effective Leadership and Adaptation, Rise of Autonomous AI Agents, Shift from Language Models, AI Agent Advancements, Universal Interface, Reasoning and Planning, Enhanced Memory and Context, Use Case - McKinsey, youreverydayAI.com, Copilot Studio, natural language, Salesforce Agent Force, AI-first companies, generative AI leadership, IBM Granite 3.0, ChatGPT Updates, Amazon SageMaker.
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Are OpenAI and Microsoft fighting? Why does the U.S. military WANT AI deepfakes? Will Perplexity's new features make it a ChatGPT competitor? We bring you this week's AI news that matters.
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Topics Covered in This Episode:
1. Pentagon & AI Deepfakes
2. NVIDIA's New AI Model
3. Google Notebook LM Updates
4. Adobe Max Conference and Related Updates
5. Microsoft and OpenAI Equity Negotiations
6. Apple's AI Development
7. Perplexity's New Features
8. Meta's AI Developments
Timestamps:
00:00 AI updates: Deepfakes, Adobe, Microsoft, OpenAI clash.
04:36 Microsoft to launch customizable AI agents soon.
09:10 Mac app for ChatGPT out before Windows.
12:09 Apple's AI rebranding lags; partners with OpenAI.
16:57 Perplexity: Good for insights, unreliable for citations.
20:14 US government explores deep fake technology's implications.
21:46 Pentagon wants AI deepfake users for understanding adversaries.
26:10 Open-source model excels in specific benchmark test.
30:07 Notebook LM launching business edition; future charges expected.
34:20 Adobe video generator launches, beating OpenAI's release.
37:10 Microsoft, OpenAI seek bank help for negotiations.
38:47 OpenAI restructuring for profit and societal balance.
44:15 Microsoft offers ChatGPT app for paid users.
Keywords:
Pentagon, AI Deepfakes, The Intercept, NVIDIA, AI Model, Llama 3.1 Nemo Tron 70b Instruct, Google, Notebook LM, Gemini 1.5 model, business edition, AI audio, Adobe Max Conference, Adobe Firefly video model, Adobe Firefly 3 Image Generator, generative extend feature, Microsoft, OpenAI, equity negotiations, AGI, Microsoft-OpenAI partnership, Copilot, GPT technology, Satya Nadella, Sam Altman, Jordan Wilson, webinar, podpp.com, Apple AI development, Siri, NLP capabilities, Apple Intelligence, Perplexity, US Military, deepfake technology, ChatGPT, Customizable AI agents, Dynamics 365, Meta, synthetic data, Agentforce.
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The AI revolution is here, transforming classrooms, homes, and how your kids learn and interact with the world. From personalized learning tools to AI-powered homework help, education is changing fast—but are you prepared to guide your kids through this shift? Stephanie Worrell, Founder of AI-MPOWERU, joins us to explain why AI literacy is critical for both parents and kids.
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Join the discussion: Ask Jordan and Stephanie questions on AI literacy
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Challenges in AI Education
2. Parental Concerns about AI
3. Risks and Safety Concerns of AI in Education
4. Advice for Parents on AI
5. AI Literacy in Higher Education
Timestamps:
01:40 Daily AI news
05:00 About Stephanie and AI-MPOWERU
07:28 Students need AI skills integrated into education.
12:53 Using AI enhanced education and job applications.
15:29 AI risks: deepfakes, relationships, education, social media.
19:21 Collaborative AI learning enhances education but concerns exist.
20:26 AI influences social media, affects mental health.
24:30 Prepare students for AI-dominated job market.
27:30 Integrate generative AI into educational curricula.
30:45 Prepare kids for future digital challenges.
Keywords:
AI and children, Jordan Wilson, Everyday AI, Google Cloud, Vertex AI, NVIDIA AI model, Perplexity, The New York Times, AI copyright concerns, Guest Stephanie Worrell, AI Empower You, AI literacy, Raising AI Smart Kids, AI in education, Parental concerns, Plagiarism in AI, ChatGPT, Internet safety, Risk of AI, Deepfakes, AI and mental health, AI personalization, AI in college, Grammarly, AI transparency, Ethical AI use, Future job landscape, Social media and AI, AI syllabi integration, AI literacy newsletter.
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AI is sucking up energy at an alarming rate. Gartner predicts that AI could consume up to 3.5% of global electricity by 2030. But what if quantum computing could change that? Peter Chapman of IonQ, will break down how quantum tech could reduce the power needed to fuel AI’s explosive growth and why it’s the next big thing in computing.
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Join the discussion: Ask Jordan Peter questions on AI and energy
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Quantum Computing in AI
2. Barriers to Adopting Quantum Computing
3. Mechanics of Quantum Computing
4. Quantum Computing’s Role in Energy Efficiency
5. Quantum Computing's Future Role
Timestamps:
01:45 Daily AI news
05:00 About Petter and IonQ
06:24 Quantum computers needed for complex problem solving.
09:11 Quantum cubits: electrons exist as probabilities everywhere.
12:53 Quantum computing at cusp, future applications unknown.
15:42 Quantum can address generative AI's energy demands.
18:48 Quantum power surpasses universal atoms; AI potential.
21:38 Exploring quantum processors for LLM efficiency improvement.
27:08 Reduce energy demand to address climate change.
29:20 Quantum excels in chemistry, optimization, AI tasks.
31:26 Is human intelligence inherently quantum and efficient?
Keywords:
Peter Chapman, Quantum computing, classical systems, transistors, quantum processor, AI, large language models, Prime Prompt Polished Chat GPT, efficient prompting, Quantum Processing Units, linear algebra, barriers to adoption, theoretical perceptions, cloud services, energy savings, environmental impact, nuclear power, data centers, energy demands, power plants, optimization problems, CPUs, GPUs, QPUs, drug discovery, artificial intelligence, qubits, parallelization, classical bits, 64-qubit chip.
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Did Adobe just cement its name with the AI giants? Or, are there announcements at Adobe Max too little, too late? We'll break down what's new and dish what you need to know.
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Join the discussion: Ask Jordan questions on Adobe AI
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Adobe AI Announcement Recap
2. Adobe Firefly Video Model
3. Photoshop AI Updates
4. Firefly Model vs Sora
5. Future of AI and Creatives
Timestamps:
02:30 Daily AI news
06:50 Adobe Max AI recap
08:36 Adobe Firefly AI video currently free, surcharge soon.
13:03 Adobe Firefly legitimizes AI video in production.
14:01 Generative extend feature enhances video editing gaps.
18:00 Google leads in smartphone photo-editing features.
22:18 Extend videos in Premiere Pro with AI.
24:53 Visual gap dilemma in video editing projects.
28:22 Video editing techniques manipulate clip duration creatively.
32:20 Adobe's models use in-house content training only.
36:12 Adobe prefers transparent AI training over data scraping.
38:50 Initial AI creatives resisted due to perceived threat.
42:12 AI blurs lines between real, fake video content.
44:39 Subscribe, rate, newsletter for daily AI updates.
Keywords:
AI Video Extension Feature, Adobe, Impact on Entertainment, AI Training Approach, Training Data Concerns, Industry Reception, OpenAI, Midjourney, Adobe's AI Development, Runway partnership, Firefly video mode, Premiere Pro, Photoshop updates, Generative Workspace, Firefly 3, AI smartphone tools, Google, Apple, Sora, Limited Release, Firefly's Availability, Video Capabilities, Practical Application, Use Cases, Generative Extend Feature, AI Image Generation, DALL-E, Creativity Threat, Everyday AI Show, AI Market Trends, Sustainable AI Power
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Is OpenAI gonna lose money for 5 more years? Will Tesla be able to use AI to solve transportation problems? Why is Microsoft going all in on AI in healthcare? We discuss this week's AI News That Matters.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Google's Role in Advertising and AI
2. Tesla's Struggles with AI-powered Vehicles
3. Microsoft's Advances in Healthcare AI
4. OpenAI's Financial Outlook and its Role in the AI Industry
5. Impact of AI Models on Logic and Reasoning
Timestamps:
00:00 AI news continues: Tesla innovates, Microsoft focuses healthcare.
06:02 Nobel Prize in Physics awarded for AI.
09:52 Yahoo search is nearly irrelevant; Google's ad market shifting.
12:00 Google Gemini struggles with up-to-date information integration.
17:40 Interested in self-driving AI cars' business impact.
20:32 Improve ChatGPT use with PPP course access.
23:23 Doctors should use transcription for efficiency.
26:04 OpenAI reports AI-generated election misinformation rise.
28:50 AI spreading misinformation before upcoming US election.
34:58 OpenAI achieved stage 2 with reasoning models.
38:09 Apple invests heavily but relies on third-party models.
42:03 Google, Tesla, Microsoft, OpenAI, Apple AI updates.
Keywords:
Google's US search ad market share, Google Gemini, Tesla, CyberCab, RoboVan, Waymo, Workplace productivity with self-driving cars, Microsoft AI tools in healthcare, Administrative burdens in healthcare, ChatGPT course, Apple AI research, GSM Symbolic, Meta's Llama, Microsoft's PHY, Google's JEMMA, OpenAI's GPT-4, Tesla stock decline, Tesla missing timelines, AI logical reasoning debate, AI vs human cognition, OpenAI projected loss, Google dominance in online search, DOJ actions against Google, Nobel Prize in Physics, AI misuse, Medical imaging models, Misinformation in US elections, Reasoning models, Fake content targeting US elections, CyberCab skepticism.
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Ready to see how AI is rewriting our climate future? We’re diving deep into how cutting-edge AI is transforming climate forecasting in ways you wouldn’t believe.
From simulating extreme weather patterns to unlocking a whole new level of prediction accuracy, the future of climate science is here—and it’s powered by NVIDIA’s Earth-2, a visionary project that uses AI to build a digital twin of the planet.
Another game-changer?
NVIDIA’s Stormcast. It's pushing the boundaries of weather prediction with generative AI, offering unprecedented precision in forecasting major weather events.
Mike Pritchard from NVIDIA joins us to discuss.
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Join the discussion: Ask Jordan and Mike questions on AI and weather
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Role of NVIDIA in Weather Forecasting
2. Impact of AI on Weather Forecasting
3. Data Streams and Predictions
4. AI in Climate Change and Regulation
Timestamps:
01:55 Daily AI news
04:40 About Mike and his role at NVIDIA
08:35 Weather predictions use complex, intensive, chaotic computational models.
10:28 NVIDIA's AI model revolutionizing weather predictions globally.
13:56 Stormcast: AI disrupts weather prediction models' physics.
19:16 AI enables high-resolution, large ensemble weather forecasts.
20:35 NVIDIA's Stormcast enables on-demand, personalized weather forecasting.
24:49 Cloud changes affect global warming and climate.
27:39 AI models for ocean-atmosphere climate prediction.
31:11 AI predicts weather using learned physical models.
34:05 Generative AI aids in extreme weather preparedness.
Keywords:
AI in weather prediction, NVIDIA, data streams and predictions, prediction models, atmospheric conditions, probabilistic outcomes, stochastic processes, Stormcast research project, high-resolution weather modeling, generative AI, meteorological expertise, on-demand weather forecasting, niche weather models, ensemble simulations, extreme weather events, climate simulation, cloud formation, meteorological agencies, climate change, Mike Pritchard, Everyday AI, Microsoft WorkLab podcast, climate simulation research, healthcare efficiency, Blackwell GPU, Tesla autonomous vehicles, clouds in climate regulation, sub-seasonal to seasonal weather predictions, ocean-atmosphere systems, extreme weather predictions.
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Think AI is neutral? Think again. This is the workplace impact you never saw coming. What happens when the tech we rely on to be impartial actually reinforces bias? Join us for a deep dive into AI bias and discrimination with Samta Kapoor, EY’s Americas Energy AI and Responsible AI Leader.
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Join the discussion: Ask Jordan and Samta questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Business Leaders Confronting AI Bias and Discrimination
2. AI Guardrails
3. Bias and Discrimination in AI Models
4. AI and the Future of Work
4. Responsible AI and the Future
Timestamps:
02:10 About Samta Kapoor and her role at EY
05:33 AI has risks, biases; guardrails recommended.
06:42 Governance ensures technology is scaled responsibly.
13:33 Models reflect biases; they mirror societal discrimination.
16:10 Embracing AI enhances adaptability, not job replacement.
19:04 Leveraging AI for business transformation and innovation.
23:05 Technology rapidly changing requires agile adaptation.
25:12 Address AI bias to reduce employee anxiety.
Keywords:
generative AI, AI bias, AI discrimination, business leaders, model bias, model discrimination, AI models, AI guardrails, AI governance, AI policy, Ernst and Young, AI risk, AI implementation, AI investment, AI hype, AI fear, AI training, workplace AI, AI understanding, AI usage, AI responsibilities, generative AI implementation, practical AI use cases, AI audit, AI technology advancement, multimodal models, AI tech enablement, AI innovation, company AI policies, AI anxiety.
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CEOs take on a ton of responsibilities to help keep a company running. Do you think that AI can make the same kind of decisions as a CEO? Greg Shove, CEO of Section, joins us to discuss. Our answer might surprise you.
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Join the discussion: Ask Jordan and Greg questions on AI and CEOs
Related Episodes: Ep 323: How AI Is Changing Workplace Productivity
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI's Role in Decision Making
2. AI Adoption in the Organization
3. AI and Data Security
4. AI Education and Importance
Timestamps:
01:30 About Greg and Section
05:00 CEOs tout AI for efficiency, lay-offs implied.
09:49 Balancing between operational and strategic thinking is essential.
10:52 Episode 310 covered CEO thinking on language models.
16:46 AI simulates board members, captures feedback.
18:28 Use AI for efficient meeting preparation and decision-making.
23:26 Transition to interacting with AI, self-realization.
24:16 AI as a helpful companion for knowledge.
27:29 Encourage behavior change, integrate AI in marketing
Keywords:
AI attendee, ChatGPT, Jordan's webinar, AI in meetings, PPP course, AI and large language models, day-to-day operations, Greg Shove, skepticism towards AI, deployment of AI in teams, CEOs and AI adoption, data security and privacy, mistrust of big tech, AI as a thought partner, AI in decision-making, AI in medical decisions, knowledge workers and AI, anxiety about AI, AI course, call center jobs and AI, CEO and AI usage, AI for small business owners, AI as CEO, high low thinking, Everyday AI show, AI education.
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Why is no one talking about this ONE feature of Canvas? OpenAI announced Canvas, a new ChatGPT mode and way to code and write. Everyone's trying to compare this to Anthropic's popular Artifacts feature inside of its Claude chatbot. But almost everyone's missing the point by simply comparing it to Artifacts. We'll break it down and tell you 5 things you need to know about OpenAI's new Canvas mode.
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Join the discussion: Ask Jordan questions on ChatGPT's Canvas
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Overview of Canvas Mode
2. Technical Details of Canvas Mode
3. Using Canvas Mode for Coding
4. Live demo of Canvas mode
5. Canvas Mode Feature Comparison
Timestamps:
02:00 Daily AI News
05:50 ChatGPT's Canvas feature
08:20 Canvas is based on OpenAI's newest model.
13:20 Use GPT-4 Canvas, integrates with other tools.
16:19 OpenAI first with split interface, November 2022.
17:49 AI feels smart but requires constant correction.
22:18 Stop comparing; similar interfaces aren't identical.
26:13 Ensure GPT-4o with Canvas is selected first.
28:30 Large language models give varied responses often.
32:11 Basic features of a text editor demonstrated.
36:07 Demo of inline editor for live podcast.
38:11 New interface enhances large language model experience.
41:51 Button polishes writing for clarity and consistency.
47:30 Curious about ChatGPT's bug-fixing process.
50:20 Prompt engineering is easier with Canvas mode.
54:17 Rendered output reveals coding errors effectively.
56:01 Sizable step toward future AI-human collaboration.
Keywords:
OpenAI, Canvas Mode, ChatGPT, Anthropic's Claude Artifacts, human-AI collaboration, GPT-4o, AI News Updates, Gemini’s AI, Google, NVIDIA, Taiwan's largest supercomputer, Geoffrey Hinton, John Hopfield, Nobel Prize in Physics, Microsoft WorkLab podcast, Internet-connected GPT, browsing with Bing, Replit, coding, Augmented Intelligence, inline editor, Large Language models, real-time collaboration, language models, GPT-4, Claude 3, Llama 3.1, Gemini 1.5, AI-generated content, Augmented intelligence concept.
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Is Meta’s new Movie Gen better than Sora? What’s the one feature everyone’s missing in ChatGPT’s new Canvas mode? What’s with all of these new Microsoft Copilot updates? And why is Google bringing ads to AI search? We bring you the AI news that matters.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Meta's MovieGen AI Video Tool
2. OpenAI Funding and Growth
3. Windows 11 Updates
4. New OpenAI Announcements
5. Google AI Developments
6. NVIDIA's AI Model
Timestamps:
02:10 Moviegen: Groundbreaking AI for customizable video creation.
03:56 MovieGen's promising AI not public yet.
09:36 OpenAI raises $6.6B, secures $4B credit.
11:22 OpenAI possibly losing billions despite revenue growth.
14:46 AI memory feature for PCs launching in November.
19:43 New features start rolling out this fall.
22:20 Microsoft updates: Copilot Plus and voice assistant rollout.
27:26 Open-sourcing AI models risks misuse despite intentions.
31:24 Real-time API introduced, enhancing speech applications.
35:03 Google develops AI to rival OpenAI's capabilities.
36:36 Google AI advancements: Alpha Proof, Astra, AI Search.
41:19 Canvas upgrade enhances coding in ChatGPT Plus.
46:12 Poll on tomorrow's show topic: Canvas tips?
49:57 Microsoft integrates GPT-4, enhancing collaboration tools.
51:24 OpenAI funding, Windows 11 updates, NVIDIA model unveiling.
Keywords:
Meta, MovieGen, AI video tool, OpenAI, Adobe, Luma's Dream Labs, Runway, Pika Labs, generative AI, Jordan Wilson, Microsoft, Wave 2 Copilot, ChatGPT, GPT-4, NVIDIA, NVLM 1.0, Google, in-page editing, in-line editing, AI Overviews Update, AI news, Canvas, Anthropic, Copilot Vision, Think Deeper, Windows 11 updates, liquidity, real-time API, Microsoft Build Conference, AI assistant
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With AI stepping in, streaming video is being reimagined in ways we never thought possible. Find out how the biggest media companies are using AI to stay ahead of the curve and why it’s reshaping the future of video with Brightcove's Marc DeBevoise.
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Join the discussion: Ask Jordan and Marc questions on AI and streaming video.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Video's Increasing Dominance
2. AI's Impact on Video
3. New Video Consumption Avenues
4. Innovation in Video Creation
Timestamps:
01:40 Google adds ads to AI-generated summaries.
04:55 About Mark and Brightcove
06:39 AI will transform video creation and distribution significantly.
08:23 Ask AI video questions to CEO during livestream.
12:55 Optimizing metadata enhances audience engagement efficiently.
13:52 AI improves engagement by optimizing metadata and distribution.
17:40 Remote work increased demand for video content.
23:11 AI model development dominated by major tech companies.
23:53 Evolving video content creation and management challenges.
27:08 Video tech boosts small business growth opportunities.
Keywords:
Role of Text in AI, Video's Increasing Dominance, Video Engagement, Impact of COVID-19 & AI, AI Tools and Content Creation, Compartmentalized Attention, Technological Integration, New Video Consumption Avenues, Innovation in Video Creation, Platform Adaptation, Small and Medium-sized Businesses (SMBs), AI as a Tool for Experimentation, Intersection of AI and Video, Encouragement and Future Vision, Host Introduction, Podcast Overview, AI News Highlights, OpenAI's New Canvas Feature, Google Ads in AI Summaries, OpenAI's Financial Developments, Guest Introduction, Brightcove Overview, AI's Impact on Video, Brightcove Services, AI-generated Content, Language Translation, Auto-Generate Metadata, Content Volume Management, Experimenting with AI, Multilingual Content.
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Are you missing out on the power of streaming data? Want to know how to make your AI faster, smarter, and more relevant? Join us for a deep dive into how data streaming can transform AI from a predictive tool into a real-time decision-maker with Will LaForest, Global Field CTO of Confluent.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Will questions on AI and data streaming.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Internal Use of AI
2. Data Integration
3. Risks and Importance of Data Streaming
4. Data Governance and Traceability
5. Future of Data and AI
Timestamps:
01:30 Daily AI news
05:15 About Will and Confluent
09:15 Real-time data is crucial for current accuracy.
12:16 Data streaming enables AI use for midsize businesses.
15:11 Data streaming enables real-time customer data updates.
19:36 Data streaming's stability is crucial for finance.
20:27 Data governance ensures safe, accurate data delivery.
25:16 Services simplify data streaming integration for companies.
Keywords:
AI internal use, Data integration, Risks of data streaming, Data governance, Provenance and traceability, Ethical AI use, Future of data and AI, Industry outlook, Data streaming services, Notion AI, Industry-specific integration, Quality data for AI, Real-time data importance, Confluent, Data streaming, Generative AI, Mid-market companies and data streaming, Data streaming use cases, Confluent's mission, Customer testimonial, NVIDIA NVLM, OpenAI competition, Google AI development, OpenAI funding, Will LaForest, Uber and data streaming, Generative AI context, AI in business, Enhanced productivity, Data privacy
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We're all gonna be talking to AI Avatars soon. In the past ONE WEEK! alone, we've seen big AI agent pushes from Apple, Meta, Microsoft and OpenAI. We're breaking down the real talk on not just the ins and outs of AI avatars, but how your company can actually use them to drive revenue growth with Hour One's Natalie Monbiot.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Natalie questions on AI Avatars
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Discussing AI Avatars & Hour One's Role
2. AI Avatars in Content Creation
3. AI Avatars for Revenue Generation
4. AI Avatars and Enhancing Existing Processes
Timestamps:
02:30 About Natalie and Hour One
06:48 AI avatars boost engagement over static content.
09:11 150-year-old language school using AI instructors.
11:58 100 stock avatars available for diverse needs.
16:48 Creating AI avatars for immersive, cinematic user experiences.
21:04 AI avatar with expressive eyebrows, achieving 7% lift.
23:13 Use AI avatars to boost website engagement.
26:59 AI avatars enable creators to enter new markets.
29:17 AI avatars should enhance, not replace, human roles.
Keywords:
AI avatars, tech news, minimal cost, content creation, digital channels, new products, business growth, new markets, language translation, multilingual content, AI ethics, OpenAI, Meta, Microsoft, deep fakes, generic stock avatars, custom avatars, cultural readiness, consistent communication, AI integration, Everyday AI, Jordan Wilson, Natalie Monbiot, Hour 1, learning and development, customer engagement, digital transformation, Amazon listings, scalable engagement, video production.
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Lean in for a secret. NotebookLM is probably the best tool Google has made since the search engine. We dish on what you need to know about NotebookLM, which we think will change how LLMs are built in the future.
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Join the discussion: Ask Jordan questions on NotebookLM
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Features of NotebookLM
2. NotebookLM vs Google Gemini
3. Benefits of NotebookLM
4. Use Cases for NotebookLM
Timestamps:
02:20 Daily AI news
07:15 NotebookLM recent updates
15:19 Upload and manage all document types easily.
19:38 RAG enhances AI by retrieving external information.
23:40 Notebook LM ensures grounded data usage only.
29:56 Research, notes, listen, transform to speech, review.
34:29 Google Gemini back-end good, front-end disappointing.
42:26 Notebook l m handles diverse information efficiently.
47:23 Great learning tool for students and professionals.
51:14 Quickly toggle document sources; folders needed.
56:15 Wildly popular, better received than Gemini model.
01:01:07 Web access crucial for large language models.
Keywords:
NotebookLM, AI tools, Google Gemini, data upload limit, AI bots, livestream audience engagement, content sharing, LinkedIn livestream, Everyday AI Podcast, Google account sign-in, data privacy, data scraping, Retrieval Augmented Generation (RAG), grounded model, Chat GPT, large language model, AI milestones, OpenAI Dev Day, Cerebras Systems IPO, Microsoft Copilot 2.0, Python, CSS, HTML coding projects, Notebook LM use case, source citation, data integration, AI overview feature, Deep Dive Podcast feature, Teaching Tools.
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Is ChatGPT's price going to double? Why did California's Governor veto the state's AI bill? What's new in Meta's Lllama 3.2? This week in AI news was quite literally nonstop. We'll answer those questions and more on our weekly AI news that matters show.
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Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. California AI Safety Bill
2. OpenAI Changes and Updates
3. Google Updates
4. Meta's New Models
5. FTC AI Regulations
Timestamps:
00:00 Governor Newsom vetoed California's stringent AI bill.
03:37 Influential figures warn of AI's severe risks.
08:25 Implementing the bill stifles innovation and economy.
12:40 OpenAI aims for $100B revenue by 2029.
15:52 Apple exits OpenAI funding round amid negotiations.
19:10 OpenAI faces significant leadership changes amid restructuring.
23:28 Meta's Llama models: open weights, not open source.
26:32 Microsoft launches AI Correction feature to enhance accuracy.
30:14 Google's Gemini AI now included in Workspace.
32:45 OpenAI restructuring to for-profit, boosting investor appeal.
35:19 Advanced voice mode now available to subscribers.
40:17 Advanced voice mode incompatible with comprehensive tasks.
42:28 Major executive departures, Meta unveils models, FTC crackdown.
Keywords:
AI Voice Assistants, AI response time, Advanced Voice Mode, California AI Safety Bill, SB 1047, Gavin Newsom, OpenAI, OpenAI price increase, Chat GPT Plus, Chat GPT Plus subscription, OpenAI financial projections, AI industry trends, Apple-OpenAI partnership, AI executive departures, non-profit to for-profit transition, Mira Muratai, AI industry regulation, AI misuse regulation, Meta Announcements, Llama 3.2 model, Meta Creator AI, AR Glasses, FTC Operation AI Comply, Microsoft AI Correction Feature, Google Gemini Integration, AI regulation debate, Everyday AI podcast, Jordan Wilson, Advanced Voice Mode in ChatGPT, AI accountability.
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Your retail strategy isn’t complete until AI is in the mix. Retail giants are harnessing the untapped power of AI—taking product pages from basic listings to profit machines. But are you missing out? We break down the real-world ways AI is changing the game for retailers everywhere with Bryan Gildenberg, Founder and CEO of Confluencer Commerce.
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Join the discussion: Ask Jordan and Bryan questions on AI and retail
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Current Commerce Ecosystem
2. AI in Retail
3. Potential Dangers of AI in Retail
4. Role of AI in Content Creation
Timestamps:
02:00 Daily AI news
05:10 About Bryan and Confluencer Commerce
08:04 Retail personalization backed by data has long existed.
12:51 Future of search and advertising with Gen AI.
15:53 Cracking TikTok's organic reach for big companies.
19:07 AI alleviates tedious tasks, improving consumer experiences.
22:11 AI might homogenize content; "artisanal content" emerging.
25:19 Data scientists are chefs; data engineers, food.
28:47 Identify user experience gap, assess commercial benefit.
32:32 AI: Solve specific problems, personalized, not tech problem.
Keywords:
AI in retail, Bryan Gildenberg, Jordan Wilson, AI R&D, future applications of AI, AI use cases, AI's impact on retail, AI's role in personalization, AI's role in content creation, training for AI, AI governance, AI responsibilities, AI's role in search, GenAI, AI in content creation, machine learning, AI in supply chain, AI in pricing, data engineering in AI, AI implementation, AI strategy for retail leaders, generative AI movement, traditional AI usage, AI competition, data requirements for AI, AI's role in customer experience, future of human-created content, dangers of AI in retail, impact of AI, AI and TikTok.
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Is the age of the specialist over? Maybe. Maybe not. Forget everything you thought you knew about expertise. Ian Beacraft, CEO of Signal and Cipher, says AI is flipping the script—putting generalists on par with specialists. We discuss how this shift is about to shake up the workforce.
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Join the discussion: Ask Jordan and Ian questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Specialist vs. Generalist
2. Mid-Career Paradigm Shift
3. Career Adaptation and Learning
4. AI and Manual Knowledge Work
Timestamps:
02:05 Daily AI news
06:00 About Ian and Signal and Cipher
08:46 Scarce expertise creates bottlenecks, impacting generalists and specialists.
12:57 Machines enhance humans, especially like in chess.
16:26 Specialists refine data enhancing team productivity together.
17:54 Future involves multimodel systems with adaptive orchestration.
22:40 Smaller, skilled teams outperform traditional larger departments.
25:08 Automate specialists' tasks to focus higher-level work.
27:33 Future impacts of AI on specialist workloads
30:42 Find passion for meaningful, persistent tool use.
Keywords:
Expertise Bottleneck, Specialist vs. Generalist, Mid-Career Paradigm Shift, Adaptation and Learning, AI and Large Language Models, Manual Knowledge Work, Symbiotic Relationship, Introduction by Host Jordan Wilson, WorkLab by Microsoft, AI News Recap, Meta's Launch of Llama 3.2, OpenAI's Leadership Shakeup, Guest Ian Beacraft, CEO of Signal and Cipher, Live Audience Interaction, Encoding Knowledge, Specialists Spending Time, Value Creation and Generalists, Future Work Scenarios, Fragmentation of Business Models, Process Optimization, Adoption of AI Tools, Final Advice, Transition from Specialists to Empowered Generalists, Future of Specialist Roles, Change Management and AI Implementation, Paradigm Shift in Work Structures, Implications for Team Composition, Adapting Skills for the Future, Sponsorship Acknowledgment, Microsoft WorkLab Podcast.
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So good it's literally illegal? ChatGPT's new Advanced Voice Mode just dropped to all paid users. (Well, except for countries where it's kinda technically not legal.) We're gonna do live demos, take some LIVE user requests, and tell you the 5 things you need to know about this new groundbreaking feature.
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Join the discussion: Ask Jordan questions on ChatGPT
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. ChatGPT's Advanced Voice Mode
2. Current Limitations of Advanced Voice Mode
3. Live Demo of Advanced Voice Mode
4. Future AI Capabilities
Timestamps:
02:05 Daily AI news
06:30 ChatGPT's New Advanced Voice Mode
13:32 AI voice chat is most advanced, widely available.
17:14 Real-life human-like interaction, limited by custom instructions.
22:15 AI inferring emotions is restricted in EU/UK.
24:18 Agents build, interact in real time but limited.
27:33 Verifying mute functionality before demonstrating voice mode.
33:03 New advanced voice mode rolled out worldwide.
35:45 Emotion-sensing tech transforms future interpersonal interactions.
37:25 AI firms unaffected initially; downloadable use limited currently.
41:31 Listen to podcast, discuss problems using advanced mode.
44:40 Language skills summary & newsletter tips, minion-style.
48:51 AI expands human capabilities and aids productivity.
52:18 Standard voice mode remains overlooked but insightful.
Keywords:
ChatGPT, Custom Instructions, Memory, Advanced Voice Mode, Generative AI, AI Adoption, AI Capabilities, Gemini Models, Google Workspace, Meta Connect Event, Everyday AI Show, Everyday AI newsletter, User Experience, Voice Mimicking Demo, Newsletter Performance, Real-Time Consultant Use Case, AI Future Implications, Technical Setup, Browsing with Bing, Advanced Emotion Detection, Emotion Recognition, Prompt Engineering, Accessibility, Regional Restrictions, New Features, OpenAI limitations, Voice Assistant, Typing, DALL-E
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Are we really 'a few thousand' days from Superintelligence? Also, what the heck does Superintelligence even mean? We're breaking down the latest hot takes from Sam Altman and simplifying superintelligence.
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Join the discussion: Ask Jordan questions on AI
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Definition and Discussion of AI Levels
2. Defining superintelligence and its implications
3. Major Historical Transitions and Their Relevance to AI
4. Review and Analysis of Sam Altman's Perspective
5. Sam Altman’s Influence on AI
Timestamps:
00:00 Are we thousands of days from superintelligence?
04:12 AI advancements amplify human capabilities and innovation.
09:06 Superintelligence theoretical; AGI practical; Altman's rising influence.
10:02 Sam Altman became globally significant in AI.
15:40 Share your predictions about utopian or dystopian futures.
19:55 Generative AI creates multimodal outputs from inputs.
22:06 AI systems excel in narrow, specific tasks.
25:45 I'd choose large language models for problem solving.
29:00 WorkLab podcast: insights for evolving work leaders.
32:03 AI likened to internet's skeptical early reception.
34:10 Is AI progress genuine or just marketing?
38:08 Advancing AI redefines AGI achievement; ASI unclear.
40:57 Superintelligence may be achieved within our lifetime.
Keywords:
Jordan Wilson, advancements in AI, superintelligence, safe superintelligence, everyday AI, everydayai.com, generative AI, chat GPT, Artificial Narrow Intelligence, ANI, Artificial General Intelligence, AGI, Artificial Superintelligence, ASI, WorkLab Podcast, Microsoft, historical periods, technological transitions, Sam Altman, Intelligence Age, AI in business, OpenAI, skepticism about AI, AI definitions, timeline for superintelligence, utopian superintelligence, dystopian superintelligence, audience interaction, superintelligence debate, AI integration
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What is OpenAI raising $6.5 billion for? Apple Intelligence is out! Kinda... California and the White House are trying to lead on AI safety, but will it even matter? We’ll tackle those topics and a WHOLE lot more for this week's AI news that matters.
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Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. AI Partnerships and Investments
2. Salesforce AI Training Initiative
3. White House AI Global Safety Summit
4. California's AI Legislations
5. Lionsgate and Runway Partnership
6. OpenAI's New Model and Funding
7. Apple Intelligence
Timestamps:
02:20 Thrive Capital leads $1.25B investment in OpenAI.
05:23 Apple launches AI features in new operating system.
10:01 White House to host global AI safety summit.
14:35 California mandates social media remove deceptive content.
15:47 Jony Ive, Sam Altman collaborate on AI hardware.
21:02 AI models generate storyboards, animations, and effects.
24:56 Microsoft revitalizing 3 Mile Island for AI data.
28:54 Salesforce launches free AI training initiative, $50M investment.
29:55 Salesforce waives AI training fees until 2025.
34:07 OpenAI's O One model reached internal stage 2.
36:18 OpenAI update pressures competitors to release updates.
40:07 Limited access to o1 model impacts productivity.
Keywords:
AI Applications in Hollywood, Runway Gen 3 Alpha Turbo, Luma Labs Dream Machine, AI video generation, Microsoft and BlackRock AI investment, AI infrastructure, AI energy consumption, Alibaba's Quinn 2.5, Salesforce AI Training Initiative, White House AI Global Safety Summit, California deepfake legislation, Jony Ive and Sam Altman AI project, WorkLab Podcast, Lionsgate and Runway partnership, OpenAI funding, Apple Intelligence, AI and job impact, OpenAI's "o one" model, AI in customer support, AI in marketing, AI Upskilling, AI model limitations, AI-legislation, AI-enhanced operating systems, AI in film industry, generative AI, AI's impact on elections, AI-altered advertising, advanced AI features, AI training resources.
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Since late 2022, Generative AI has been making waves across industries, and the pace of change has been revolutionary. We sit down with Kumar Parakala, President of GHD Digital, to dive deep into the impact of Generative AI on society and work. From creating shifts in how we collaborate with machines to reshaping industries, this episode covers it all.
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Join the discussion: Ask Jordan and Kumar questions on AI
Related Episode: Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Generative AI Impact Timeline
2. AI's Impact on Society and Work
3. Concerns and Challenges with AI
4. AI’s Role in Industries
5. Data Strategy Importance
Timestamps:
01:25 Daily AI news
05:10 About Kumar and GHD Digital
07:16 Generative AI revolutionized computing with ChatGPT.
12:05 Human-machine collaboration reshapes society.
15:02 Generative AI challenges in workplace include toxicity, biases.
18:19 Data strategy ensures compliance, avoiding significant fines.
20:46 Generative AI evolving rapidly, causing diverse company strategies.
23:46 Embrace AI or stay blissfully ignorant—your choice.
29:13 Generative AI automates document identification with 95% accuracy.
30:58 AI rapidly transforming jobs and industries.
Keywords:
Generative AI, Industry Adoption, AI impact on society, Workplace changes due to AI, AI Concerns and Challenges, AI's Role in Industries, Data Strategy, Host's Insight, Guest's perspective, Rapid growth of AI, AI transformation, AI experimentation, ethical considerations of AI, AI advancements, generative AI in business, AI in architecture engineering and construction industries, Changing Job Dynamics, Microsoft & 3 Mile Island Nuclear Plant, Tech Billionaire on AI Impacts, OpenAI Funding, Kumar Parakala, GHD Digital, Increase in AI startups, Deep fakes, Bias in AI applications, Geopolitical dynamics of AI, Data quarantine and review, Automation through AI, Podcast on everyday AI, Impact of AI on wealth and power distribution.
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Want to 10x your productivity without hiring? Or reach customers you never thought possible? Maybe even solve that nagging problem in your community?
Yeah, AI and Google can be a tag team to help you accomplish all of the above.
Join us as we tap into insights from Lisa Cohen Gevelber, the Vice President of Grow with Google.
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Join the discussion: Ask Jordan and Lisa questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Small Business AI Clinics
2. Google's AI Opportunity Fund
3. AI’s Impact on Startups
4. Advice for Small Businesses
5. Future of Work and AI
Timestamps:
01:30 Daily AI news
04:50 About Lisa and Grow with Google
07:15 Cybersecurity skills in high demand; certification available.
10:26 Newsletter covers Google AI Essentials, small business tech access.
16:34 Treat AI like an intern; iterative feedback needed.
19:31 AI tools save small businesses time efficiently.
22:45 Startups innovating agriculture and supporting student transfers.
27:05 Grow with Google aids small businesses using AI.
28:29 Newsletter includes resources; sign up and share.
Keywords:
Small Business AI Clinics, Google’s AI Opportunity Fund, AI for Startups, Real-world experience, AI Applications, Google AI Essentials, Google for Startups Program, AI in Agriculture, AI's Impact on Startups, AI and Future of Work, Grow with Google, Lisa Cohen Gevelber, Everyday AI Podcast, Generative AI, Lionsgate and Runway, LinkedIn Privacy Concerns, Salesforce AI Training, Google Career Certificates, AI and Cybersecurity, AI in Data Analytics, Google.org's AI Opportunity Fund, AI for Education, AI Basics Course, AI in Project Management, Google Workspace, Gmail, Google Docs, Google Slides, Google's Advertising Tools, Prime Prompt Polish (PPP) ChatGPT Course.
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Everywhere you turn.... AI agents. This past week more than ever, the biggest companies and hottest startups have seemingly gone bonkers for AI agents. Why? And, what the heck are they? We'll give you the 101 on all things agents.
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Join the discussion: Ask Jordan questions on AI agents
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Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. AI Agents Explained
2. Future of AI Agents
3. Corporate Adoption
4. Economic Impact
5. Ethical Concerns
Timestamps:
02:30 Daily AI news
06:30 What are AI agents?
10:03 AI agents have become mainstream in companies.
11:37 Human-AI collaboration saves billions for companies.
15:26 Microsoft's contextual memory aids business interactions greatly.
18:16 Salesforce uses autonomous agents, deep CRM integration.
23:14 Develop AI for complex language tasks understanding.
25:03 Defining an AI agent and core functions.
29:02 AI agents surpass large language models due tool access.
32:35 Recent AI advancements by Meta, Google, OpenAI, Microsoft, Salesforce
36:53 Chatbots now effective using natural language processing.
39:27 AI agents manage tasks using natural language triggers.
44:02 Challenges, opportunities in agent interfaces and tools.
45:28 Insufficient guardrails can make autonomous AI unsafe.
51:29 Microsoft Copilot Studio excels over Zapier Central.
54:18 Future work demands creativity; AI integration inevitable.
Keywords:
Natural Language Processing, AI in Customer Service, AI Tools, Microsoft Copilot Studio, Zapier, AI in Sales and Marketing, Coding with AI, Replit agents, Cursor AI, Devon from Cognition, Future of AI Agents, Salesforce, Benefits of AI Agents, Challenges of AI Agents, Bias in AI, Ethical Concerns in AI, AI Agents Discussion, Corporate Adoption of AI, AI Accessibility, Economic Impact of AI, Productivity and Efficiency in AI, AI News, AI in Workforce, AI in stock market, Future Trends in AI, Business strategies for AI, Workplace fairness, AI in everyday work, Agentic models of OpenAI, Ethical Decisions in AI.
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Microsoft unveiled what it called Wave 2 of Microsoft 365 Copilot. New names. New features. New possibilities. We're covering it all and giving you NEW business use cases that weren't possible before this announcement.
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Microsoft Copilot Wave 2 Updates
2. Microsoft 365 Copilot Pricing
3. OneDrive Updates
4. Microsoft Teams and Copilot
5. Copilot Agents
6. Example Use Cases
Timestamps:
02:30 Daily AI news
05:55 Microsoft Copilot Wave 2
07:59 Copilot pages, Microsoft 365 updates, Copilot agents.
12:36 Implement now for future payoff, avoid delays.
16:24 Generative AI silos interim, optimize data strategy.
19:55 Collaborative Google Doc with Copilot integration for teamwork.
23:35 Microsoft 365 Copilot's enterprise version available; free rollout pending.
26:04 Python simplifies AI for data professionals, universally available.
28:35 Create AI-generated presentations using brand assets.
32:01 Generative AI summarizes and prioritizes your emails.
37:24 Copilot Studio updates: Simplified agent creation, now available.
40:36 Microsoft Copilot integration is a seismic advancement.
43:36 Copilot automates document summarization and citation sourcing.
46:39 Early Copilot features were useful but disjointed.
Keywords:
OpenAI Models, Microsoft Copilot Rebranding, Microsoft 365 Copilot Pricing, Importance of Copilot, Timeline of Copilot Announcements, Copilot Wave 2, UI for AI Concept, Comparisons and Critiques, Copilot Pages, First 18 Months of Copilot, New Features, Wave 2 Focus, Host's Opinion, Everyday AI Giveaway, AI-Powered Outlines and Slides, Microsoft Teams and Copilot, Email Prioritization Feature, Enhanced Microsoft Word Capabilities, OneDrive Updates, Copilot Agents, Courses and Training Promo, General Overview, New Features, Example Use Cases, Impact, Next Steps, Main Topic, Host Introduction, Microsoft Copilot Wave 2
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We'll tell you what everyone missed about OpenAI's new models. Why you won't have any AI yet on Apple's new iPhones. And the takeaways you need to know from Oprah's AI special. Here's this week's AI News That Matters.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. OpenAI's New Models
2. iOS 18 Launch and Future Updates
3. Google's Audio Overview in Notebook LM
4. US Senators Call for AI Tool Investigation
5. Adobe's New Generative AI Video Tool
6. Oprah's AI Special
Timestamps:
02:00 Apple iOS 18 and AI features
06:20 iPhone 16 lacks expected AI features, causing confusion.
08:33 Google's notebook lm adds audio discussions feature.
11:57 White House creates task force for AI infrastructure.
15:16 Adobe plans beta text/video features, Sora status unclear.
17:39 AI's potential and risks in various fields.
22:23 Regulating AI's role in content monetization critical.
25:54 US senators investigating online content summarization tools.
28:32 Salesforce pivots to AI agents, consumption-based pricing.
32:42 Rapid sales increase needed for Salesforce investment justification.
36:06 Limited access to new reasoning-based AI models.
41:01 AI models trigger competitive pricing and feature updates.
43:25 OpenAI separates models, updates GPT and reasoning classes.
45:07 OpenAI's model scores notably higher on IQ tests.
48:09 Senators investigate AI tools; AI companies pivot.
Keywords:
Jordan Wilson, Anthropic, Google, AI models, API pricing, US elections, Gemini model, OpenAI, OpenAI-01, Mensa IQ test, AI intelligence, subscription tiers, Apple, iOS 18, AI features, Google's notebook LM, audio overview feature, White House, AI models' power consumption, Adobe, generative AI video tool, Firefly Video, Oprah, AI special, Bill Gates, US senators, AI tools investigation, Salesforce, Agent Force, ChatGPT Plus.
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AI is not just shifting gears in the workplace—it’s redefining the entire engine. The ripple effect of AI on jobs, industries, and skills is expanding faster than most realize. Ready to get ahead of the curve? Join us as we dive deep into the future of work with Peter Erickson, CEO of Modev.
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Join the discussion: Ask Jordan and Peter questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI's Workforce Impact
2. AI's Impact On Various Professions
3. Economic Changes
4. Human-AI Collaboration
5. Leadership and Security in AI Implementation
Timestamps:
01:50 Daily AI news
04:50 About Peter and Modev
05:54 Built tech communities, developed apps, played music.
09:17 Generative AI exceeds expectations, influences future planning.
14:26 Embrace AI tools, enhance human creativity, thrive.
17:15 Embrace AI to enhance your development skills.
18:36 Proficiency in Microsoft skills necessary for employment.
22:20 AI enhances productivity, not cuts headcount.
27:19 AI: Primarily a data science and engineering function.
29:42 Adopt and use tools daily, not noise.
Keywords:
Jordan Wilson, Everyday AI, OpenAI, Generative AI, AI impact, Pete Erickson, Book announcement, Technological changes, Application development future, Developer evolution, Workforce evolution, Human-AI collaboration, Hiring practices, AI Job Market, AI Integration, Decision makers, AI experimentation, AI News, Oprah Winfrey's AI Special, OpenAI model release, Pete Erickson's background, AI Workforce impact, Livestream discussion, Future conversation topic, Societal concerns, AI tools, Work practice transformation, Upskilling, AI Productivity, AI adoption
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OpenAI just shocked us all with the release of its o1 model, previously codenamed as Strawberry and Q* We break down what's new, 5 things you need to know and more!
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Join the discussion: Ask Jordan and Hanan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
Timestamps:
00:00 Everyday AI: Learn generative AI for growth.
03:46 Free, Plus, Teams, Enterprise accounts available soon.
07:50 GPT tech simplifies skilled tasks with agentic workflow.
10:51 OpenAI creates two distinct series for GPT.
13:10 Expensive and limited OpenAI's API preview.
18:06 MMLU: Multitask language understanding benchmark for AI.
21:14 Anthropic raised $4B; OpenAI holds back GPT-4.5.
22:40 Corporate revenues mainly from subscriptions and APIs.
26:39 Man and dog cross in one trip.
29:41 Many correct answers exist, including 153.
32:24 Large language models struggle with this question.
35:47 Future: Many small companies, fewer traditional jobs.
38:34 Q Star impressive, expensive, limited, large model updates.
Keywords:
OpenAI, o1 series, AGI, Artificial General Intelligence, GPT-4, ChatGPT Plus, ChatGPT Teams, ChatGPT Enterprise, EDU accounts, API access, reasoning-based model, large language models, everydayai.com, numerical code, word count task, world hunger plan, Anthropic, Google, Meta, performance benchmarks, MMLU, subscription costs, message limits, user experience, AI development, AI regulation, real-time tests, agentic processing, code-named Q Star Strawberry, prompt engineering
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Think your AI strategy is future-proof? You might be setting your company back. What if having an AI strategy is the exact thing holding your business back from true innovation and competitive advantage? We dive into the real role of AI in business with Dr. Hanan Alhaddi, a strategist and academic practitioner who challenges conventional wisdom.
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Join the discussion: Ask Jordan and Hanan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI Washing
2. Operational Efficiency and AI
3. Three Main AI Pillars
4. Responsible AI Implementation
Timestamps:
01:40 Daily AI News
05:15 About Hanan and her role at Oxford
07:04 Companies often mistakenly isolate AI in strategies.
10:02 AI's promise, impact, and hype across industries.
14:19 Use AI strategically to enhance competitive advantages.
18:57 Focus on strategic, slow AI adoption and education.
21:15 Superficial AI strategy for appearances, not substance.
25:22 Transition from shareholder to stakeholder view for businesses.
28:48 Utilize AI efficiency responsibly, educate and upskill workforce.
30:35 Focus beyond efficiency; avoid long-term AI pitfalls.
Keywords:
AI Washing, Operational Efficiency, Understanding AI, Strategic Planning, Data-Driven Decisions, Differentiating Customer Experiences, Optimizing Organizational Efficiency, Efficiency and Employment, Responsible Implementation, AI Promise, New Products, Technology Developers, Technology Consumers, AI Plugin, AI Holistic Approach, AI Benefits Education, Adobe Firefly Video Model, Sam Altman, AI Energy Demands, Oprah Winfrey's AI Special, Hanan Alhaddi, AI Strategy Mistake, Standalone AI Strategy, Corporate Strategy, Business Strategy, Functional AI, Audience Interaction, Daily AI Newsletter, Everyday AI Show, AI Strategy Integration.
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AI is rewriting the rules of the road and the auto insurance industry. What happens when AI steps in to predict accidents before they happen? Or when claims adjust themselves? Rohan Malhotra, Founder & CEO of Roadzen joins us to dive into the tech that’s flipping the industry on its head, and the impact it’s already having on road safety.
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Accident Rates and Auto Insurance
2. Auto Insurance Industry's Antiquated Processes
3. AI and the Auto Industry
4. Road Safety and AI
Timestamps:
02:00 Daily AI news
05:23 About Rohan and Roadzen
09:16 Pandemic increased accidents, causing delayed insurance hikes.
13:18 AI can optimize insurance rates and driving behavior.
16:19 Challenges in modernizing auto insurance industry efficiency.
17:55 AI transformation delayed by large companies' adoption processes.
23:26 Reducing human error accidents with advanced car technology
26:30 AI personalizes services via pattern recognition.
29:28 Jivebody: computer vision tech for commercial fleets.
30:39 AI innovations beyond LLMs, especially computer vision.
Keywords:
Accident Rates, Auto Insurance, Rate Adjustment, Auto Insurance Industry, Antiquated Processes, Underwriting, Claims, Process Inefficiencies, Technology Integration, AI, Computer Vision, Real-time Claims Processing, Driver Behavior Assessment, Road Safety Enhancements, Challenges to Modernization, Future Outlook, Fast Claims Processing, Innovation, Road Safety, Technology Adoption, Data Ownership, Consent, AI Personalization, AI-Assisted Accidents, Autonomous Vehicles, Commercial Fleets, Logistics Companies, AI in Auto Industry, Impacts and Innovations of AI.
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Did Apple fail at AI? Or, will some of their new AI announcements from yesterday change how we do business? We'll tackle those questions and also highlight 5 AI-powered features from Apple that can change the way your biz does its biz.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Apple's AI Strategy
2. iPhone 16 and AI Features
3. Improved Siri Features
4. Impact on Apple Ecosystem
5. Business Implications for Apple's AI
Timestamps:
02:05 Daily AI news
06:30 Recap of Apple AI announcements
08:25 Apple urges upgrades to boost iPhone sales.
12:51 Apple stock stagnant after iPhone 16 announcement.
13:35 Apple’s stock unimpressive despite new AI features.
18:23 Apple's writing tools enhance third-party app compatibility.
20:26 Apple delayed text improvements despite possible earlier release.
23:06 Apple Intelligence features boost photo and video indexing.
27:20 Small feature, big impact for businesses.
31:53 Apple updates rolling out slowly until 2025.
32:31 Improved Siri enhances business integration and assistance.
37:26 Apple's new feature calls out ChatGPT, Google.
39:03 Real-time interaction with world via phone.
44:57 Apple Intelligence to reach billions, altering work.
Keywords:
Jordan Wilson, new technology, business use cases, Apple iPhone sales, personal AI usage, Apple Intelligence, artificial intelligence, generative AI, future of work, Thanks a Million giveaway, everydayai.com, Everyday AI Podcast, AI trends, business growth, AI news updates, Stanford Study, Large language models, James Earl Jones, AI voice cloning, Responsible Military AI Blueprint, Apple iPhone 16, AI features, business implications, Apple ecosystem, visual AI, Focused Summaries, Apple Intelligence, stock market reaction, Edge AI advances, Microsoft WorkLab Podcast.
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Is Salesforce really starting over with AI? What's new inside of Claude Enterprise? And how did an AI safety startup raise $1 billion in just a few months? We bring you a high-level recap every Monday with the AI news that matters.
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Upcoming Apple Announcements
2. Replit AI Agent
3. Safe Super Intelligence Inc (SSI)
4. Claude Enterprise and partnership
5. Salesforce Developments
6. OpenAI Developments
Timestamps:
02:15 Apple unveils AI-powered iPhone 16, new products.
05:14 Apple bets on AI to drive iPhone upgrades.
07:34 Google enables natural language searches in Photos.
10:17 Replit's AI streamlines software development and deployments.
15:24 SSI focuses on AI safety, talent and compute.
19:25 Claude Enterprise offers customized pricing for businesses.
20:51 Prefer tiered pricing; don't recommend using Claude Enterprise.
25:16 Salesforce pivoting; OpenAI exploring high-priced subscriptions.
29:06 GPT Next announced, 100 times powerful, potential price increase.
Keywords:
Replit AI Agent, Safe Super Intelligence Inc, WorkLab Podcast, Claude Enterprise, Everyday AI Show, Apple Announcements, iPhone 16, Apple Intelligence, Siri, Google Update, Ask Photos AI Feature, Google's Gemini AI models, feedback, interaction, Claude Enterprise Pricing, Anthropic's strategy, Amazon's AI Marketplace, Bedrock, Salesforce Developments, Agent Force, Salesforce's Einstein AI, OpenAI Pricing Strategy, AI subscription models, Chat GPT Plus, Chat GPT Teams, GPT Next model, OpenAI Japan, KDDI Summit, one million downloads giveaway, youredailyai.com
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Another one!? Another day, another HUGELY impactful model. Meta responds to OpenAI with a one-of-a-kind model in Llama 3.1 and the brand spankin new 405B model. What's it all mean? We gotchyu.
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Related Episode:
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Highlights of Meta's New Model - Llama 3.1
2. Spotlight on the 405b model
3. Functionalities and User Interface Updates
4. Meta's Focus and Its Implication on AI and Business
Timestamps:
01:30 Daily AI news
06:30 Meta Model overviews
11:11 Free open source models, accessible with limitations.
16:20 Meta's quick product launches receive praise.
17:32 Llama 3 to 3.1 brings huge improvements.
20:11 AI advancements democratizing app development and deployment.
24:35 Meta's benchmarks indicate promising performance
30:15 Customizable large language model for specific tasks.
34:46 Mark Zuckerberg's influence on AI prominence evident.
37:33 Experts and knowledge will be replaced by models.
42:27 Typing in real time with Meta AI.
43:24 Creating testing questions for new model iterations.
48:11 New model requires less prompt engineering, delivers more.
51:10 Ranking answers, prompt techniques, standardized testing methods.
Keywords:
OpenAI, Llama 3.1, Google, Databricks, Snowflake, Microsoft, AWS, Dell, NVIDIA, Grok, IBM, model distillation, data generation, MMLU comparison, GPT 4 o Mini, 405 b release, sharing chat transcripts, ad retargeting, custom GPTs, AI agents, Mark Zuckerberg, Meta, metaverse, 8b model, 70b model, 405b model, MMLU benchmark score, Meta AI, edge devices, OpenAI vs Meta.
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Anthropic just announced Claude Enterprise. But, you shouldn't be using it. Yet. We'll tell you the 3 reasons that your company probably shouldn't be using Anthropic Claude.
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Topics Covered in This Episode:
1. Features of Claude Enterprise
2. Criticism of Claude Enterprise
3. Enterprise AI Adoption Considerations
Timestamps:
02:00 Daily AI news
05:45 What is Claude Enterprise?
09:06 Discussing AI training and implementation for enterprises.
13:53 Large language models unsuitable for most enterprises.
15:06 Rogue users start, later enterprise formalizes use.
19:25 Build websites, apps easily with Claude AI.
21:05 Claude enables easy, no-code model customization.
24:31 Claude missed the mark for enterprise strategy.
28:07 OpenAI's limited rollouts vs. Claude's widespread releases.
33:43 Claude for enterprise with upcoming GitHub integration.
35:20 Microsoft 365 Copilot integration mostly limited to chat.
39:27 Claude 35 no longer top chatbot model.
42:29 Companies choose a large language model.
Keywords:
Scott White, AI implementation, custom pricing, enterprise customers, pricing strategy, transparency, product launch, competition analysis, Microsoft 365 Copilot, GPT-4, ChatGPT Enterprise, Google Gemini, Anthropic Claude, real-time data, large language models, no-code tool, enterprise go-to-market strategy, third-party integrations, Enterprise product, enterprise pricing, release announcement, Everyday AI podcast, AI news, Safe Superintelligence Funding, Michael Dell, AI demand, token capacity, collaboration tools, team control, private beta.
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You're prolly doing this wrong. But when using ChatGPT and other LLMs, you've gotta understand how and when the models connect to the internet. You think you're getting up-to-date and accurate information. But you're probably not. We'll break it down and show you how to do it the right way.
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Join the discussion: Ask Jordan questions on ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Understanding ChatGPT's Internet Interfacing
2. Correct Usage of ChatGPT
3. Problems with Outdated Data in ChatGPT
4. Chain of Thought Prompting With ChatGPT
Timestamps:
02:15 Daily AI news
07:10 Getting access to the web in LLMs
09:25 Use Bing for current, accurate information. RefineQ process.
13:01 Large language models may be overly verbose.
18:55 Bing integration into conversation mode, quick feature.
19:44 Need to call browsing with Bing carefully.
24:49 Content ranking tricks reveal dirty search secrets.
29:18 Research recent LLM developments from August-September 2024.
31:32 Wide variety of sources yields better results.
34:29 Trend of 2024: Retrieval Augmented Generation, data connection.
37:55 Use Bing in chat GPT for URLs.
41:09 Stay vigilant, monitor GPT-3, control browsing.
Keywords:
ChatGPT, WebPilot, Internet-connected GPT, adapting GPT behavior, math problem solving, "browse with Bing", information retrieval, outdated information, incorrect information, relevant information, context window, AI University, thanks a million giveaway, Jordan Wilson, Everyday AI, AI news, Salesforce, Anthropic, Department of Justice, NVIDIA, OpenAI, prompt engineering, YouTube, Bing, old knowledge, large language models, training data, Microsoft, chain of thought prompting, patience in AI
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What is Orion from OpenAI? (You need to know) Are NVIDIA and Apple teaming up? (Kinda) Will Amazon finally be getting smarter soon? (Yes, but it might cost ya) Here's this week's AI news that matters!
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. OpenAI's Latest Development: Strawberry
2. Alexa's Upcoming AI Update
3. AI Regulation and Safety Measures
4. Google's Advancements in AI
Timestamps:
02:20 Amazon shifts to external AI expertise for Alexa.
03:54 Upcoming Alexa features and potential subscription model.
08:01 OpenAI's reliance on NVIDIA's GPUs for training its GPT models highlights tech industry interconnectedness. Apple integrates ChatGPT into iOS.
12:57 AI's ability to create real-time media.
14:25 Klarna plans workforce cut due to AI.
18:43 AI collaboration sparks government regulation discussions worldwide.
22:41 California bill 1047 shapes AI industry future
25:34 Google updates Gemini AI platform with GEMs.
29:24 Report on OpenAI's Project Strawberry and future implications.
30:58 Reportedly, OpenAI is developing advanced AI strawberry.
Keywords:
OpenAI, strawberry AI model, Orion, synthetic data, AI capabilities, market strategies, word games, regulatory compliance, ethical deployment, AI technologies, education sector, business sector, technology sector, marketing sector, customer service sector, Sam Altman, Amazon, Alexa, Anthropic's Claude AI model, AI-generated news summaries, child-focused chatbot, conversational shopping, NVIDIA, Apple, fundraising, ChatGPT, Jordan Wilson, AI safety, regulation, California's SB 1047, Google, GEMS feature, Imagine 3, base models, Game InGen, real-time gameplay, Doom, NVIDIA's GPUs, iOS platform, Jensen Huang, Klarna, job market, AI in marketing, AI in customer service, Large language model, AI development, AI performances, AI advances, subscription model, tech industry.
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In today's episode, we're diving into the 7 most common mistakes people make while using large language models like ChatGPT.
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Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Understanding the Evolution of Large Language Models
2. Connectivity: A Major Player in Model Accuracy
3. The Generative Nature of Large Language Models
4. Perfecting the Art of Prompt Engineering
5. The Seven Roadblocks in the Effective Use of Large Language Models
6. Authenticity Assurance in Large Language Model Usage
7. The Future of Large Language Models
Timestamps:
02:30 LLM knowledge cut-off
09:07 Models trained with fresh, quality data crucial.
10:30 Daily use of large language models poses risks.
14:59 Free chat GPT has outdated knowledge cutoff.
18:20 Microsoft is the largest by market cap.
21:52 Ensure thorough investigation; models have context limitations.
26:01 Spread, repeat, and earn with simple actions.
29:21 Tokenization, models use context, generative large language models.
33:07 More input means better output, mathematically proven.
36:13 Large language models are essential for business survival.
Keywords:
Large language models, training data, outdated information, knowledge cutoffs, OpenAI's GPT 4, Anthropics Claude Opus, Google's Gemini, free version of Chat GPT, Internet connectivity, generative AI, varying responses, Jordan Wilson, prompt engineering, copy and paste prompts, zero shot prompting, few shot prompting, Microsoft Copilot, Apple's AI chips, OpenAI's search engine, GPT-2 chatbot model, Microsoft's MAI 1, common mistakes with large language models, offline vs online GPT, Google Gemini's outdated information, memory management, context window, unreliable screenshots, public URL verification, New York Times, AI infrastructure.
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Google silently released its answer to custom GPTs with its Gemini Gems. In short, Gems allows users to create a smaller or more customized version of their big model, Google Gemini.
↳ But how does it work?
↳ Is it any good?
↳ And how does it compare to ChatGPT's custom GPTs?
We bring you the answers.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Google Gemini
Related Episode: Ep 253: Custom GPTs in ChatGPT – A Beginner’s Guide
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Comparison between GPTs and Gems
2. Features of Google Gems
3. Demo of Google Gems
Timestamps:
02:15 Daily AI news
03:47 High-profile organizations opt out of Apple's AI data collection.
7:00 Google Gemini Gems explained
12:21 Enable Google Gemini for all users and platforms.
14:30 GPT-4 chatbot leaderboard shows significant improvements.
18:55 Mixed feelings about inconsistent unique feature. Limited functionality.
21:50 Improve productivity with free PPP course. Visit podpp.com.
24:31 Use Google Workspace gems to search efficiently.
28:53 Google Gems failed to follow instructions effectively.
30:04 Evaluating text search for Google Docs efficiency.
34:11 Google Gems' ability to guide accurately needs improvement.
37:11 Google Gems may pull unwanted information, problematic.
41:57 Break down process into 5 steps.
43:57 Referencing Google Docs and sharing prompt.
46:05 Google gems are not as good as GPTs.
Keywords:
Google Gems, GPTs, OpenAI, Google Workspace, Google Gemini, Gmail, AI newsletter, ChatGPT, Google IO developer conference, custom gems, Google gem manager, Google account, Gemini 1.5 Pro, tech issues, Customer testimonial, Screen sharing, Live documents, Custom versions, Jordan Wilson, Nvidia earnings, Apple Bot Extended, AI training data collection, everyday AI, AI for daily practical use, AI experts, Instruction following, Admin console settings, Document access, Dynamic docs, GPT 4 Model.
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95% of companies are investing in AI. Yet, adoption is still low. So is AI more hype, or is it foundational in the future of work? We’ll be tackling those questions with one of the world’s largest consulting firms, as EY’s Traci Gusher joins us.
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Join the discussion: Ask Jordan and Traci questions on AI
Related Episodes: Ep 331: Why Fear of AI is Stifling Adoption
Ep 206: There is No AI Hype – This is how the world works now
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Importance of Data in AI Implementation
2. AI Education and Responsible AI Implementation
3. AI for Business Growth
4. Rethinking Business Processes Using AI
Timestamps:
01:35 Daily AI news
05:20 About Traci and EY
08:14 AI becoming integral in personal and professional lives.
13:16 Companies adopting generative AI for product innovation.
14:18 Organizations hesitant about using AI due to concerns.
18:21 Centralized data processes crucial for business success.
20:46 Organizations focus on innovation using generative AI.
25:28 Data governance crucial for quality and analysis.
27:14 AI master class educates boards on responsibility.
Keywords:
Tracey Gusher, AI, data lineage, data quality, data traversal, AI education, AI master class, responsible AI implementation, reimagining processes, revenue streams, data investment, Jordan Wilson, Everyday AI Show, generative AI, organizational sectors, value-driven AI, top growth, bottom growth, ChatGPT, experimentation, transformation, technology maturity, data maturity, data management, decentralization, data governance, automation, applied AI, analytics, good data.
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Perplexity is a game-changer for scaling your business. However, you might have some misconceptions about this AI powerhouse that are preventing you from maximizing its potential. We're here to share the essential 101 on Perplexity and highlight five key things you should know about it.
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Join the discussion: Ask Jordan questions on Perplexity
Related Episodes: Ep 271: OpenAI Releases GPT-4o: 12 things you need to know
Ep 301: Anthropic Claude 3.5 Sonnet – How it compares to ChatGPT’s GPT-4o
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Overview of Perplexity
2. Differences Between Free and Paid Perplexity
3. Use Cases of Perplexity
4. View and Edit Sources Using Perplexity
5. Future Implications of Perplexity
Timestamps:
02:30 Perplexity overview
08:52 Many hours spent doing work on the open Internet.
13:56 Using perplexity to create custom instructions, responses.
15:16 Save time by curating and publishing content.
19:43 Decent options, limited internet connection, paid plans.
23:57 Live explanation and request for audience input.
25:02 Analyze company's and 3 competitors' insights
30:07 Check sneaker dunk, remove old or irrelevant sources.
32:36 Nike Air Jordans: SWOT analysis
39:08 Limit search to 5 websites at a time.
42:09 GPT-4o update competes with perplexity.
44:11 GPT-4o from OpenAI provides valuable customization options.
48:07 Website blocks scrapers to protect information.
50:16 Fewer clicks on websites, future in AI.
Keywords:
Jordan Wilson, Perplexity, paid version, free version, advanced models, GPT-4, OpenAI, Claude 3.5 SONET, AI images, SWOT analysis, Nike, Adidas Yeezy, Under Armour Curry, New Balance Kawhi, athletic shoe brands, fertility clinics, SEO, Chat GPT4, Perplexity features, large language models, research tools, online news scraping, controversy, search engine, Microsoft Copilot, Everyday AI, FBI, Russian bot farm, antitrust issues, Perplexity as answers engine.
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What's the controversial Microsoft AI feature that's finally coming? Why are Google employees worried about their AI in the military's hands? And why is Silicon Valley fighting over this new AI bill in California? Here's this week's AI news that matters!
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
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Topics Covered in This Episode:
1. Google Employees' Concerns Over AI In Military
2. Salesforce's New AI Tools
3. New Bill on AI Regulation in California
4. Microsoft's Recall AI Feature Launch
5. Fortune 500 Companies and AI Risk
Timestamps:
02:00 DeepMind workers concerned about Google's military contracts.
03:59 New AI agents from Salesforce enhance sales.
07:03 Mixed opinions on California's AI bill impact.
13:05 California journalism bill prompts Google's response.
16:12 Recall feature captures screen, sparks privacy concerns.
21:10 AI threat to coding jobs drives upskilling.
24:18 AI news highlights: concerns, innovations, regulations, deals
Keywords:
Google DeepMind, AI in military, AI bill, Silicon Valley, Microsoft, AI feature, Everyday AI, AI news, AI research division, Israeli army, ethical implications, Salesforce, AI driven sales agent, sales efficiency, Einstein SDR agent, Einstein sales coach agent, California AI regulation, Safe and Secure Innovation for Frontier Artificial Intelligence Models Act, OpenAI, Anthropic, Jeffrey Hinton, artificial intelligence development, California Journalism Prevention Act, Microsoft recall, AI risk, Fortune 500 companies, SEC filings, AWS CEO, coding jobs, generative AI.
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Some people say AI doesn't work and that ChatGPT isn't good. But that's not true. The problem is with the prompts you're using. We want to show you 5 mistakes and help you improve your prompts for better answers from ChatGPT.
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Join the discussion: Ask Jordan questions about ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Importance of Changing Mindset When Working with ChatGPT
2. Approaches to Use Large Language Models Effectively
3. Getting Quality Results from ChatGPT
Timestamps:
[00:00:55] Daily AI news
[00:05:12] Is ChatGPT getting lazier?
[00:11:15] Prompting is the issue
[00:13:55] Mistake #1 - Copy and paste super prompts
[00:18:30] Mistake #2 - Looking for outputs vs building skillsets
[00:22:18] Mistake #3 - Not using skill-based chats
[00:25:24] Mistake #4 - Telling ChatGPT it's an expert in X with X years of experience
[00:28:55] Mistake #5 - Using ChatGPT as a shortcut
[00:31:30] Final takeaway
Keywords:
ChatGPT, large language model, mindset change, multi-shot prompting, skill sets, training, expertise, AI news, Everyday AI, generative AI, Accenture, New York Times, AI editorial director, Humana, healthcare, daily newsletter, AI inner circle session, prompting mistakes, live audience input, multi-modality, text-to-text, text-to-photo, text-to-video, video-to-photo, text-to-video, video-to-text, engagement, ChatGPT memory, training, automation
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Y'all won't believe these new AI image generators.... They're starting to blur the line between fact and fiction. (In both a good and a bad way.) And in the past few weeks, the entire game has changed. We go over what's new and what you need to know.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI image generators
Related Episodes: Ep 218: Winning the Probability Game in AI Visuals
Ep 198: Midjourney V6 – What’s new and producing powerful ad creatives
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Different image generators and their uses
2. Importance of AI images
3. AI image generation timeline
4. Potential misuse of AI image generators
5. AI image generation prompts
Timestamps:
02:50 Daily AI news
06:20 AI image vs real image test
09:12 AI creates images from text descriptions using AI.
10:05 AI image generators use diffusion models, face copyright concerns.
13:43 DALL-E and OpenAI in AI image game.
18:14 Live demonstration, prompt, show, vote for best.
21:30 Open source model used for image generators.
27:49 Issues showing small URLs, presenting photo options.
30:46 Interface is a love-hate experience with AI.
34:47 Generate, observe real-time photo realistic beach image.
38:25 Imprinting painting with quick color changes attempt.
41:57 Results of AI image generator with social platform.
42:41 Explore AI image generators for various industries.
48:36 Former president spreads problematic AI-generated images.
51:16 AI image generators creating videos are powerful.
Keywords:
AI tools, photorealistic images, ideogram, Imagine 3, Flux 1, image generation, Grok, Google DeepMind, Jordan Wilson, Midjourney, user control, AI image generators, misinformation and disinformation, open source models, copyright concerns, DALL E, diffusion models, AI-generated images, AI demonstration, Chat GPT course, webinar, audience vote, AI impact on creativity and business, Google and California deal, Microsoft AI feature recall, Neuralink brain chip, misuse of image generators, video creation, ad campaigns, newsletter giveaway
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Supply chains impact everything. And AI is impacting our supply chain at every level. So what's it all mean for the future of the products we use every day and the supply chains that make it all possible? Evan Smith, CEO and Co-Founder of Altana joins us to discuss.
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Join the discussion: Ask Jordan questions and Evan questions on supply chain and AI
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Importance of Supply Chain
2. Implication of AI in Supply Chain
3. Value Chain and AI Integration
4. AI Addressing Industry Challenges
5. Impacts of COVID-19 on Supply Chains and Role of AI
Timestamps:
01:55 Daily AI news
05:00 About Evan and Altana
08:23 Outsourced supply chain is fragile, strategically important.
10:38 AI revolutionizes supply chain data analysis.
16:26 Automation will change work, focusing on value.
17:58 Impacts of industry on supply chain future.
23:57 COVID and generative AI's impact on supply chain.
26:42 Supplier diversity can mean redundancy or workforce equality.
30:37 Global businesses need to rethink supply chains.
32:10 Reframe the AI conversation for positive outcomes.
Keywords:
Evan Smith, outsourced just-in-time supply chain, global supply chain network, carbon footprint, national security, China's control of critical minerals, paper-based to digitized supply chain, AI technology, large language models, trace origin of products, forced labor, business interruptions, customs and trade compliance, supplier diversity strategy, workforce and human rights evaluation, actively managed value chain network, generative AI, change of nature of work, automation, repetitive tasks, data processing, business interruption risk exposure, COVID-19 pandemic, Jordan Wilson, Everyday AI Show, Microsoft, OpenAI, Conde Nast, Altana, fabric of the world's physical economy.
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It's the trillion dollar AI question. When will we achieve Artificial General Intelligence? (And what the heck is it, anyway?) We'll give you the 101 on what you need to know, and one secret that could be holding the official discovery back.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AGI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Definition of AI, AGI and ASI
2. Evolution of AGI
3. Impacts of Advancements in AGI
4. Future of AGI
Timestamps:
02:00 Daily AI news
06:15 When is AGI coming?
09:54 Machines performing tasks requiring human intelligence.
13:10 Generative AI brings impressive outputs through language.
14:04 Generative AI democratizes US AI capabilities; narrow compared.
19:00 Correct prompting with PPP course at podpp.com.
20:52 Big tech companies openly working toward AGI now.
25:37 AGI development inevitable, desirable, surpassing human capabilities.
28:16 Pre-2020, experts said AGI was 80 years away.
31:25 Criticism of experts in generative AI misunderstandings.
33:49 Has AI's definition of AGI changed?
37:21 Definition of AGI has evolved over time.
40:45 Partnership between Microsoft and OpenAI pivotal.
45:21 OpenAI benefits from important Microsoft partnership changes.
47:08 Tech companies must focus on AGI development.
52:37 Future work, business, career with AI impact.
Keywords:
AGI, Artificial General Intelligence, OpenAI, Microsoft, partnership, AI development, AI startup, Anthropic, copyright infringement, Google's Gemini team, Token offering, AI models, USAID, ChatGPT Enterprise, AI pace estimation, AI evolution, Artificial Superintelligence, AI prediction chart, ARK Invest, GPT 3 technology, Traditional AI, Generative AI, AI democratization, AGI benchmark, ChatGPT course, AI startups, Big tech companies, AGI cost reduction, Future of work, Everyday AI podcast.
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Did you know OpenAI released a new model? The one fatal flaw of Elon's new Grok-2 that no one's talking about. What is it? And is it concerning that researchers are trying to create 'Personhood Credentials' to differentiate humans from AI pretending to be humans? We'll tackle those questions and more.
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Grok chat system flaw
2. Personhood credentials
3. World Labs' achievement
4. OpenAI’s updated GPT 4 model
5. Politics and AI
Timestamps:
04:19 GPT 4 Turbo and Flux 1 Integration Exciting.
07:41 Grok has impressive benchmarks, but significant drawbacks.
11:09 Personhood credentials for online identity verification.
14:56 Internet explosion from AI-human hybrid interaction. US election impact.
18:07 World Labs achieves unicorn status with $100M funding.
23:25 AI will increasingly impact and manipulate politics.
26:02 AI image generators make discerning reality difficult.
29:08 Use battleground to compare and improve model skills.
32:12 Ongoing updates, constant testing for AI models.
34:33 WorldLabs reaches $1B valuation, AI dominates news.
Keywords:
Grok chat system, cycle flaw, Jordan Wilson, OpenAI researchers, Microsoft, MIT, Harvard, personhood credentials, online AI deception, verify real humans, privacy, fake accounts, bot attacks, AI misinformation, US election, social media, human verification, GPT 4 update, AI chatbot rankings, Google's Gemini 1.5 pro, GPT 4.5, GPT 5, AI testing, chatbot arena, Grok 2, Elon Musk's XAI, WorldLabs, unicorn status, President Donald Trump, political AI campaigns.
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What do all these strawberries on social media mean? Is OpenAI's Project Strawberry here? And why is literally everyone on Twitter talking about GPT-5? And are there actually AI-powered agents interacting with us live on social media? The answer to that might surprise you.
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Topics Covered in This Episode:
1. Developments in AI Industry
2. State of AI Technology
3. OpenAI's Plans
4. Mystery Twitter Accounts
5. Secret Testing of Chatbots
Timestamps:
01:40 Daily AI news
05:30 Overview of recent AI rumors
07:49 OpenAI CEO hints at iterative updates, speculation.
10:38 AI rapidly advancing, projects pushing toward AGI.
13:39 AI tools empower human interaction in society.
17:58 People speculated about new chatbot release strategy.
21:50 Excitement for future advancements in AI language models.
26:10 OpenAI CEO discusses potential breakthroughs in AI.
27:45 OpenAI relies heavily on NVIDIA's GPU chip.
33:20 Posts about AI, possible bot activity. Humans involved.
36:24 Concerns about OpenAI's marketing and voice cloning.
37:14 Questioning authenticity and timing of AI advancements.
43:19 Anticipating big changes with AI technology.
Keywords:
OpenAI, GPT-5, Project Strawberry, AI technology, future of AI, generative AI, large language models, AI-powered agents, autonomous capabilities, AI in business, Everyday AI Show, Jordan Wilson, Sam Altman, mister Strawberry, super AGI, ASI, AI deception, Lily Ashwood, Twitter accounts, AI chatbots, testing AI models, agentic autonomous AI, quantum physics, system prompts, quantum entanglement, GPT-4 advanced voice mode, ChatGPT-4-latest, artificial general intelligence, AI in internet navigation, long-horizon tasks.
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No one's talking about this when it comes to AI. What happens when it works?
↳ When we save all that time.
↳ When productivity goes through the roof
↳ When jobs maybe get.....easier.
Diya Wynn, Responsible AI Lead at AWS, joins us to discuss
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Related Episodes: Ep 323: How AI Is Changing Workplace Productivity
Ep 302: 5 Laws for Success in the AI Era
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Topics Covered in This Episode:
1. Allocation of resources and the role of AI
2. Responsible and intentional AI practices
3. Complexities of upskilling and reskilling
4. Implications of AI on a grand scale
Timestamps:
01:50 Generative AI impact on high school students.
05:40 About Diya and her role at AWS
10:28 Inclusive AI promoting fairness and accessibility.
13:47 Augmenting human capability with technology for efficiency.
15:31 Comparing AI to automotive revolution, impacting jobs.
19:50 Resistance, failure, and education for responsible AI.
23:27 Skills need constant updating for technological advancements.
26:08 Responsible AI as an organizational culture structure.
32:21 Resource allocation may impact access to healthcare.
35:42 AI levels playing field for diverse learners.
38:59 AI as bridge, not barrier, empowering all.
Keywords:
Diya Wynn, Jordan Wilson, Everyday AI Show, AWS, Medicare, Medicaid, AI implementation, disparities in access, Artificial Intelligence, organizational structure, AI practices, education, banking services, hiring processes, video production, systems testing, upskilling, reskilling, responsible AI policy, technology advancements, job displacement, job creation, biases, fairness, workforce changes, World Economic Forum predictions, AWS responsible AI strategy, heart disease prediction, industry events, community engagement.
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Wait.... tokens? When using a large language model like ChatGPT, tokens really matter. But hardly no one understands them. And NOT knowing how tokens work is causing your ChatGPT output to stink. We'll help you fix it.
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Related Episodes: Ep 253: Custom GPTs in ChatGPT – A Beginner’s Guide
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about
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Topics Covered in This Episode:
1. Tokenization in ChatGPT
2. Comparison of Different AI Models
3. Importance of Tokenization and Memory in AI Models
4. Limitations of ChatGPT
5. Explanation of Tokenization Process
Timestamps:
02:10 Daily AI news
07:00 Introduction to tokens
10:08 Large language models understand words through tokens.
12:05 Understanding tokenization in generative AI language models.
16:35 Contextual analysis of words for language understanding.
19:15 Different models have varying context window sizes.
23:57 Misconception about GPT-4. Detailed explanation follows.
26:38 Promotion of PPP course, common language mistakes.
28:57 Excess text to exceed word limit intentionally.
33:19 Keeping up with ever-changing AI rules.
36:50 Recall important information by prompting chat GPT.
40:37 Highlight information, use quotation button, request summary.
43:41 Clear communication is crucial for ChatGPT.
Keywords:
Jordan Wilson, Bears football team, personal information, Carolina blue, deep dish pizza, token counts, memory limitations, ChatGPT, tokenization, language models, generative AI, controlling response, token range, memory recall, AI models, GPT, anthropic Claude, Google Gemini, context window, book interaction, large language models, OpenAI's GPT 4.0, transcript summary, Everyday AI, Google's Gemini Live AI assistant, new Pixel 9 series, XAI's Grok 2, OpenAI's GPT 4 update, importance of tokens in chatbots, podcast promotion.
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There's a time-saving, eye-boggling AI gem under your nose. Similar to custom GPTs from ChatGPT, Claude Projects can save you a ton of time. But what are they? And how can your company save time using them?
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Related Episodes:
Ep 206: There is No AI Hype – This is how the world works now
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Topics Covered in This Episode:
1. Introduction to the AI bubble talk
2. The AI Bubble Discussion
3. Economic Impact of AI
4. Impact on AI Startups and Big Tech Dominance
5. Generative AI and its Significance
6. Reorganization and Revenue Generation in AI-Investing Companies
7. Misperceptions and Missteps in AI integration
Timestamps:
00:00 Daily livestream podcast and newsletter for AI enthusiasts.
03:37 Wuhai to rival NVIDIA in AI chip.
07:53 Rapid industry growth can lead to instability.
10:55 Assertive host makes confident, researched opinions weekly.
14:40 Stock market recovers half lost, historical gains.
17:53 AI bubble dominated by larger players, excluding Tesla.
21:42 Dotcom bubble era companies were too young.
22:33 Startup hype vs established company facts: logic wins.
28:38 Invest in generative AI for successful returns.
31:09 Triple down on training for change management.
35:39 Automate data to presentation with Microsoft 365.
37:40 Clear monetization path crucial for company success.
40:41 Transitioning to digital platforms for business operations.
46:11 AI startups face obsolescence with new models.
50:02 Refer 4 friends for daily AI insights.
Keywords:
Jordan Wilson, AI bubble, Everyday AI show, Free Daily Newsletter, Google's Gemini model, Wuhai, NVIDIA, AI chip market, Chat GPT's GPT 4.0, dotcom bubble, generative AI companies, S and P 500 index, market swings, social media influencers, big tech companies, Intel, Dell, Microsoft, Nvidia, Apple, Amazon, Google, Meta, AI startups, generative AI, Microsoft 365 Copilot, regulation, monetization plan, large language models, ROI on AI investment.
EP 335: No, there's no AI bubble so it won't be bursting. Dispelling all the AI bubble talk
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Is OpenAI actually dropping a new model this week, or is it just rumors? Will Perplexity's big payday help it catch Google? Why did Dell cut 12,000 jobs? We'll answer those questions and more on Everyday AI's weekly Monday AI news recap
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Topics Covered in This Episode:
1. Trump's False Claims and Misuse of AI
2. OpenAI Updates and New AI Models
3. Perplexity's Growth and Funding
4. Apple's AI Strategy and Developments
5. Dell's Focus on AI and Industry Impact
Timestamps:
00:00 OpenAI's new model, Dell job cuts, AI impact.
05:37 OpenAI announced search GPT, competitor to Google.
09:28 Apple partners with OpenAI for AI integration.
10:48 Bloomberg report predicts 3 years for advanced AI.
16:18 Dell creates AI unit, plans job cuts.
19:02 AI adoption raises stock, but job impact uncertain.
21:18 Trump alleged fake AI-generated crowd at Harris event.
24:33 Creating realistic content will become increasingly challenging.
28:46 OpenAI introduces powerful chatbot with advanced reasoning.
31:42 OpenAI co-founder leaves, lawsuits filed, internal turmoil.
35:46 OpenAI's powerful model may be unsafe.
41:16 Chatbot emulating human voice raises concerns.
43:34 AI news recap: Perplexity raises $250M, Apple's AI plans.
46:25 AI news, live stream, podcast, newsletter, subscribe.
Keywords:
Jordan Wilson, AI-related situation, US elections 2024, Donald Trump, AI-generated crowd, Kamala Harris, disinformation, AI content, OpenAI, Sam Altman, AI model "strawberry", executive changes in OpenAI, advanced voice modes, AI misuse, AI news, Perplexity funding, Apple's AI features, Dell's job cuts, GPT 4.0 security risks, AI model QSTAR, OpenAI lawsuit, voice emulation, Everyday AI, Sequoia, NVIDIA, Databricks, Bezos Expeditions, Search GPT, Apple Intelligence, AI job loss.
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When we think recycling, we might think of plastics. Probably not Generative AI, right? Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions.
How do they do it?
And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies?
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Related Episode:
Ep 224: AI and its Impact on Society - How it might look
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Website: YourEverydayAI.com
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Timestamps:
01:50 About James and Lanzatech
04:49 Using AI to engineer biology for refining.
09:47 Create biological language model to engineer microbes.
13:00 Misconception about value from large language models.
15:58 Importance of creating and using specialized models.
17:10 AI accelerates technology development, leading to efficiency.
22:09 AI enhances scientific experiments with human oversight.
24:32 Golden age of technology with AI excitement.
Topics Covered in This Episode:
1. About James Daniell and Lanzatech
2. How generative AI helps recycling
3. Use and benefits of AI within LanzaTech
4. Potential of GenAI solving environmental problems
Keywords:
Generative AI, science, biology, productivity, sales cover letter, bio companies, life science companies, impact, everyday AI, Jordan Wilson, artificial intelligence, computational biology, LanzaTech, climate change, fossil fuels, pollution, carbon, carbon recycling, microbes, emissions, carbon recycling technology, building block chemicals, fuels, products, transformer, Google, genetic engineering, trash into treasures, internal scientific knowledge base, intelligence amplification.
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There's a time-saving, eye-boggling AI gem under your nose. Similar to custom GPTs from ChatGPT, Claude Projects can save you a ton of time. But what are they? And how can your company save time using them?
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Claude
Related Episodes:
Ep 301: Anthropic Claude 3.5 Sonnet – How it compares to ChatGPT’s GPT-4o
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Topics Covered in This Episode:
1. Overview of Claude Projects
2. Practical Use Cases of Projects
3. Claude Projects vs GPT-4
Timestamps:
01:55 Daily AI news
06:30 About Claude Projects
11:17 Anthropic Claude lacks essential features and connectivity.
19:14 Emphasizing importance of integrating language models in work.
21:43 Large companies need generative AI for efficiency.
36:51 Claude Projects example
42:07 Making Claude Projects an analyst
46:50 GPT converses like a human, remembers context.
51:37 Create various applications easily and transparently.
53:37 Specific vs. broad insights on SEO trends.
58:57 Claude's team plan requires five seats minimum.
01:07:28 Powerful Claude Projects show data in real-time.
01:10:18 Leverage large language models for business success.
Keywords:
Anthropomorphic Claude, Claude projects, large language model, AI capabilities, Palantir, Microsoft, French startup Mistral, OpenAI, Project Strawberry, Amazon, Anthropic, Chat GPT, Prime Prompt Polish Chat GPT course, business use, Apple's AI developments, Claude Projects features, data visualization, business dashboards, email campaign performance, SEO performance analyzer, everyday AI, Claude artifacts, GPT use, AI News Assistant project, AI in business intelligence, Buzzsprout, podcast distribution, legal compliance, Claude 3.5 SONNET, market research analysis
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If you're scared of AI, should you avoid it? The wait-and-see approach isn't gonna work. Fear of AI? Here's what to do about it. Lauren Ingram, Founder of Next Big Thing, joins us to discuss.
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Related Episodes: Ep 224: AI and its Impact on Society – How it might look
Ep 225: Use AI To Break Things with Entrepreneur Magazine’s Jason Feifer
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Topics Covered in This Episode:
1. Impact of fear on AI adoption.
2. Role of diversity in AI adoption and development.
3. AI's future for the younger generation.
4. Steps to get involved in the field of AI.
Timestamps:
01:45 Daily AI news
04:45 About Lauren and Next Big Thing
07:11 Business leaders facing challenges implementing evolving technology.
11:18 Media needs to allay AI fears, inform.
12:51 Concerns about AI displacing jobs in businesses.
15:18 AI information overload requires new perspective.
18:54 Diversity in AI companies leads to profit.
25:05 Understanding technology is crucial for senior leaders.
26:35 Demonstrating use is powerful in adopting technology.
29:25 Engage youth in AI, prepare for change.
Keywords:
Lauren Ingram, Jordan Wilson, AI information, staying updated on AI, jobs at risk, diversity in AI adoption, female AI adoption, diverse leadership, internal education, inclusivity in AI, AI benefits, natural language, ChatTpT, understanding of AI, fear of new technologies, getting into AI field, younger generation and AI, AI and cheating, fearing AI, AI journey, lack of diversity, fear of AI, job displacement by AI, media and AI fear, everyday AI, ByteDance AI video app, Dell, Intel, OpenAI, Next Big Thing.
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What the heck is happening at OpenAI? In a somewhat shocking development, an OpenAI co-founder has left OpenAI for rival Anthropic. And President Greg Brockman is taking an 'extended leave of absence.' What's it all mean?
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Related Episodes: Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about
Ep 149: Sam Altman leaving and the future of OpenAI – 7 things you need to know
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Topics Covered in This Episode:
1. Major Changes at OpenAI
2. Legal Trouble for OpenAI
3. OpenAI's Technology and Impact
4. Future of OpenAI
Timestamps:
02:00 Daily AI news
06:15 Multiple high-level departures at OpenAI, significant impact.
12:47 GPT technology widely used by large companies.
16:08 Employees threatened to leave if demands not met.
18:22 Key OpenAI figures change, raising concerns.
21:05 Economic chaos and political instability in 72 hours.
25:22 Apple rebranding AI as 'Apple Intelligence.' GPT technology used.
27:16 Microsoft's early commitment to AI pays off.
30:32 NVIDIA is least reliant on OpenAI.
35:08 AI advancements raise immense safety concerns and risks.
40:16 Ilya Sutskever left OpenAI to start SSI.
41:16 OpenAI's new model amidst reporting and rumors.
44:20 OpenAI's incredible capabilities are beyond imagination.
Keywords:
OpenAI, Jordan Wilson, Everyday AI, OpenAI drama, co-founder departure, OpenAI president, extended leave, AI news, Figure humanoid AI robot, NVIDIA, copyright violations, Elon Musk, Sam Altman, lawsuit, Peter Dang, John Shulman, Greg Brockman, OpenAI leadership changes, Andrei Karpathy, Ilya Sutskever, Microsoft, artificial intelligence, AGI, Jan Leakey, Anthropic, GPT 5, GPT NEXT, Apple Intelligence, US economy, global economic turmoil.
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Google’s Gemini 1.5 Pro tops GPT-4o, ChatGPT releases Advanced Voice Mode, Canva and Google Make big acquisitions, NVIDIA reported delays causing AI troubles, and more AI News that Matters for the week of August 5, 2024.
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Related Episode:
Ep 324: Apple Intelligence delayed, OpenAI’s SearchGPT & more – AI News That Matters
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Topics Covered in This Episode:
1. Microsoft's Investment in OpenAI
2. Canva's Acquisition of Leonardo AI
3. Google's Latest Acquisitions and AI Developments
4. Google's New AI Models Advancements
5. NVIDIA's Reaction to Manufacturing Delays Rumors
6. ChatGPT Advanced Voice Mode
7. Meta AI Studio rollout
Timestamps:
00:00 Microsoft and OpenAI both compete and partner.
05:49 Canva acquires Leonardo AI to enhance technology.
09:07 Google Gemini 1.5 pro AI surpasses competitors.
13:02 NVIDIA denies AI chip shortages and delays.
17:31 Compact Gemma 22b AI outperforms larger models.
19:15 Future language models shifting to smaller sizes.
25:05 AVM AI mode mimics natural speech patterns.
29:18 Meta's customizable language model llama 3.
31:49 Canva acquires Leonardo AI; Google unveils Gemini.
33:46 Exciting AI news from major tech companies.
Keywords:
Microsoft, OpenAI, Canva, Leonardo AI, Google, Gemini 1.5 pro 0801, NVIDIA, GPU delays, JEMMA 22b, GPT 3.5, ChatGPT, Meta, AI Studio, Instagram, AI landscape, AI chip shortages, Google DeepMind, Gemma 2 2b, AI news, Jordan Wilson, SearchGPT, CEO ousting, Character AI, Cloud communication, OpenAI Advanced Voice Mode, emotional cues, natural speech patterns, latency, customizable chatbots, Llama 3.
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CEOs take on a ton of responsibilities to help keep a company running. Do you think that AI can make the same kind of decisions as a CEO? Greg Shove, CEO of Section, joins us to discuss. Our answer might surprise you.
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Related Episodes: Ep 323: How AI Is Changing Workplace Productivity
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI's Role in Decision Making
2. AI Adoption in the Organization
3. AI and Data Security
4. AI Education and Importance
Timestamps:
01:35 Daily AI news
05:20 About Greg and Section
07:01 CEOs tout AI for efficiency, lay-offs implied.
09:49 Balancing between operational and strategic thinking is essential.
10:52 Episode 310 covered CEO thinking on language models.
16:46 AI simulates board members, captures feedback.
18:28 Use AI for efficient meeting preparation and decision-making.
23:26 Transition to interacting with AI, self-realization.
24:16 AI as a helpful companion for knowledge.
27:29 Encourage behavior change, integrate AI in marketing.
32:12 Ask for AI opinion to drive innovation.
Keywords:
AI attendee, ChatGPT, Jordan's webinar, AI in meetings, PPP course, AI and large language models, day-to-day operations, Greg Shove, skepticism towards AI, deployment of AI in teams, CEOs and AI adoption, data security and privacy, mistrust of big tech, AI as a thought partner, AI in decision-making, AI in medical decisions, knowledge workers and AI, anxiety about AI, AI course, call center jobs and AI, CEO and AI usage, AI for small business owners, AI as CEO, high low thinking, Everyday AI show, DOJ, NVIDIA, Apple, Google's Gemini 1.5 pro, AI education.
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What's currently going on with AI and high school students? How is the future FUTURE generation looking at AI? Are they using it, abusing it, or a little of both? Armaan Priyadarshan and Vasu Lakshmanan, high school students of Massachusetts Academy of Math & Science at WPI, join us to discuss.
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Related Episodes: Ep 304: Preparing Today’s Kids for the AI Future
Ep 316: The Future of Generative AI in the Classroom. How Will It Work?
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Topics Covered in This Episode:
1. Impact of AI in High Schools
2. AI and College Selection Process
3. Risks and Benefits of AI in Education
4. Integration of AI in Education
5. Balance between AI and Human Creativity
Timestamps:
00:00 Generative AI impact on high school students.
03:59 Microsoft lists OpenAI as competitor in report.
08:03 Generative AI and language models changed education.
12:46 GPT changed word choice and writing process.
14:30 AI's impact on education and creativity.
16:59 Discussing writing assignments, creativity, and individual performance.
21:30 Promote AI ethical use through student engagement.
23:34 Using AI in college essays and testing.
28:48 Admitting to being lazy in school work.
31:20 Parents' attitudes towards AI vary with background
34:39 AI role in group work is limited.
Keywords:
AI in education, high school students, learning abilities, future of education, learning how to learn, responsible AI use, creative pathways, opportunities in AI, risks in AI, AI podcast, everydayai.com, college selection process, generative AI, standardized testing, college essays, AI overreliance, misinformation, coding errors, technological advancements, AI and creativity, analytical skills, AI shortcuts, human creativity, AI integration, calculators in schools, Chat GPT, higher-level thinking, Taco Bell AI, Meta AI, OpenAI.
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Yeah, AI is cool. But have you tried AI WITH good data?! If you're running into AI implementation bottlenecks, it could be your data to blame. Matthijs de Vries, Founder & CEO of Nuklai, joins us to tackle AI and data.
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Related Episodes: Ep 268: AI’s Data-Driven Decision Paradox
Ep 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our world
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Topics Covered in This Episode:
1. Data and Large Language Models (LLMs)
2. Practical Data Strategies
3. Data Quality Issues
Timestamps:
01:35 Daily AI news
05:00 About Matthijs and Nuklai
06:48 Data bottleneck hinders implementation of generative AI.
10:26 Start with a goal, leverage data effectively.
13:20 Collaborating on data is costly, causing limitations.
15:46 Standardize data access to improve overall efficiency.
18:46 Discussion on the use of synthetic data.
23:13 Challenges for small AI projects due to funding.
27:33 Crowdsourcing data important for future developments.
28:38 Data used to improve bread quality. Multiple purposes.
Keywords:
Everyday AI, Jordan Wilson, generative AI, data bottleneck, OpenAI, GPT 4, SAM 2, video segmentation, Meta, AI Studio, chatbot creation, llama 3.1 model, Matt deFries, Nuclei, structured data, unstructured data, Large Language Models (LLMs), AI implementation, data in silos, data consortiums, data pipelines, data collection, memory efficiency, synthetic data, crowdsourcing data, data quality, human-generated data, collaboration, data science, philosophy in data.
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Is there so much misinformation about AI that it's slowing the advancements in.... AI? How can we set the record straight on Artificial Intelligence, push fear-mongering aside, and ethically put it to use? David Moschella joins us to discuss and find out.
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Related Episodes: Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
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Topics Covered in This Episode:
1. Big Tech and AI misconceptions
2. AI products developments
3. America's leadership in AI
4. Job predictions and future of work
5. Significance of AI in daily life
Timestamps:
01:15 Daily AI news
04:20 About David and the Information Technology and Innovation Foundation
10:37 Technology doesn't eliminate jobs; AI won't either.
14:49 Insufficient information provided for summarization.
15:46 Comparison: Industrial vs. information revolution, vital needs.
18:59 Reliance on internet for work and backups.
23:35 AI impact on misinformation: Awareness, readiness, balance.
25:39 AI acceptance accelerates, reaching critical mass quickly.
31:06 Text critics miss key points about AI, technology.
Keywords:
AI news, Elon Musk, AI supercomputer, Memphis, Ashton Kutcher, OpenAI's SoRA, NVIDIA, Apple, market value, AI industry, misconceptions about AI, AI critics, societal challenges, AI benefits, AI development, generative AI, AI and jobs, AI and society, surveillance state, technological innovation, Everyday AI, free course, Chat GPT, PPP course, podpp.com, job predictions, job elimination due to AI, AI in physical tasks, road repair, automation, robotics, declining populations, generative AI, dependence on AI, AI deepfakes, misinformation, legal implications of AI.
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Why is Apple delaying their 'Apple Intelligence?' What does SearchGPT mean for Google and Perplexity? Is Meta's Llama the future of LLMs? Here's this week's edition of AI News That Matters.
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More on this Episode: Episode Page
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Related Episode:
Ep 321: Meta Llama 405B and Llama 3.1 – What’s new and what you need to know
Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Meta's New Llama updates and LLM
2. Apple's AI strategy and concerns
3. Major investments in large language models
4. Unveiling of OpenAI's Search GPT
5. OpenAI's financial situation
Timestamps:
00:00 Llama 3 1405b model competes, open source.
04:40 Meta plans integrating multi mod capabilities, agent-like functions.
11:22 Delay in Apple's new iPhone feature release.
14:08 JPMorgan Chase to implement large language models.
18:53 OpenAI's exclusive content deals impact search engines.
20:13 Ethical considerations, challenges, and impact on publishers.
23:30 OpenAI faces potential $5 billion loss.
28:45 OpenAI's different approach to releasing AI.
31:57 Meta updates Llama, Apple delays AI, big banks utilize AI.
Keywords:
Ethical considerations, search GPT's design, misinformation, intellectual property, biased content, privacy concerns, web traffic, digital business models, OpenAI, Stack Overflow, financial strategy, high growth AI ventures, Meta, desktop app, text-to-speech features, Apple Intelligence, iOS 18.1, Morgan Stanley, Chase Bank, large language models, financial advisors, SearchGPT, Google, llama 3.1, open source model, GPT-4 Omni, AI capabilities, developer version, beta testers, accuracy and security.
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From faster software development to quicker meeting notes, AI can help us be more productive. But, how can that scale? And how can we balance AI-powered productivity with still doing meaningful work? Dean Guida, Founder & CEO of Infragistics, joins us to discuss.
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Related Episode:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 298: Going from Everyday AI to Game-Changing AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Current State of AI
2. AI and Workplace Productivity
3. Implementation and ROI on AI
4. Burnout and Productivity Issues
5. Hiring for AI adoption
Timestamps:
01:30 AI excels at advanced math problem-solving.
05:15 About Dean and Infragistics
08:54 CEO addresses challenges and opportunities in AI.
12:30 Company leveraging AI for data and analytics.
14:27 Adoption of new tasks challenges senior developers.
17:56 Encourage small team to use AI tools.
21:28 C-suite expects AI productivity, workers struggle.
25:56 Tech CEOs overinvest in future technology for competitiveness.
28:13 AI training on business data unlocks value.
Keywords:
AI, Dean Guida, Jordan Wilson, training employees, software development, real-time translation, change management, advancements in AI tools, market and economics of AI, resistance to AI tools, coding, NVIDIA CEO Jensen Huang, The Everyday AI Show, generative AI, workplace productivity, Hollywood video game performers strike, Google DeepMind, OpenAI, Infragistix, Slingshot, understanding AI, data analysis, balance of productivity and AI, burnout, business growth, future technology investment, hiring growth-minded people, AI tools benefits, c-suite leaders expectations, workforce capability and capacity.
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The future of communication might look a whole lot different than it does today. Why? More devices. Faster responses. AI-powered knowledge. NVIDIA's Senior Vice President - Telecom Ronnie Vasishta joins us to give us the scoop.
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Join the discussion: Ask Jordan and Ronnie questions on 6G and AI
Related Episode:
EP 184: On-Device AI: What it is and do we need it? What no one’s talking about
Ep 264: AI-Powered Devices: Do we actually need them?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Edge AI and on-device large language models.
2. Intersection of AI and 6G
3. Role of NVIDIA in 6G and AI
4. Learning Opportunities and the Value of 6G
5. Future communication possibilities
Timestamps:
01:35 Daily AI news
04:30 About Ronnie, NVIDIA senior VP leading telecom tech initiatives.
08:12 5G brings faster communication speeds, enabling various applications.
12:39 AI essential for seamless network and services.
14:27 Evolution of 5G and AI in networks.
17:38 Telecom operators investing in AI for services.
26:05 Concerns about technology capabilities and network challenges.
29:31 Advances in 5G network capabilities and monetization.
32:10 AI will transform telecommunications for businesses
Keywords:
Ronnie Vasishta, Edge AI, Large Language Models, Communication, Work, Prime Prompt Polish Chat GPT Course, On-device Language Translation, Visual Collaboration, Autonomous Vehicles, Network Capacity, Technological Demands, Internet-connected Large Language Models, Humanoid Robots, Computer Vision, Everyday AI Podcast, 6G, AI News Updates, AI Industry, NVIDIA, Telecom Infrastructure, Telecommunications Network, 5G, Improved Coverage, Infrastructure Changes, Intelligent Connectivity, Spectral Efficiency, Bottleneck Period, Generative AI, Business Models, Innovative Services.
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Another one!? Another day, another HUGELY impactful model. Days after OpenAI drops the game-changing GPT-4o Mini, Meta responds with a one-of-a-kind model in Llama 3.1 and the brand spankin new 405B model. What's it all mean? We gotchyu.
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Join the discussion: Ask Jordan and questions on Meta
Related Episode:
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Highlights of Meta's New Model - Llama 3.1
2. Spotlight on the 405b model
3. Functionalities and User Interface Updates
4. Meta's Focus and Its Implication on AI and Business
Timestamps:
01:30 Daily AI news
06:30 Meta Model overviews
11:11 Free open source models, accessible with limitations.
16:20 Meta's quick product launches receive praise.
17:32 Llama 3 to 3.1 brings huge improvements.
20:11 AI advancements democratizing app development and deployment.
24:35 Meta's benchmarks indicate promising performance
30:15 Customizable large language model for specific tasks.
34:46 Mark Zuckerberg's influence on AI prominence evident.
37:33 Experts and knowledge will be replaced by models.
42:27 Typing in real time with Meta AI.
43:24 Creating testing questions for new model iterations.
48:11 New model requires less prompt engineering, delivers more.
51:10 Ranking answers, prompt techniques, standardized testing methods.
Keywords:
OpenAI, Llama 3.1, Google, Databricks, Snowflake, Microsoft, AWS, Dell, NVIDIA, Grok, IBM, model distillation, data generation, MMLU comparison, GPT 4 o Mini, 405 b release, sharing chat transcripts, ad retargeting, custom GPTs, AI agents, Mark Zuckerberg, Meta, metaverse, 8b model, 70b model, 405b model, MMLU benchmark score, Meta AI, edge devices, OpenAI vs Meta.
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We made it to 1 million downloads! Wooo! To celebrate our upcoming, 'Thanks a Million' campaign, we're doing something special to celebrate y'all.
We ran a LIVE audience quiz on today's livestream that covered ChatGPT and other LLMs. Think you got what it takes? Follow along and put your knowledge to the test!
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Join the discussion: Ask Jordan and questions on AI
Related Episode:
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. ChatGPT and Other LLMs Quiz
2. Discussion on AI Models
Timestamps:
02:45 Daily AI news
06:56 Launch of giveaway in newsletter for chat GPT.
14:49 Comparison of energy use between GPT and Google.
16:37 Free users cannot use GPTs or customize.
26:38 Inquiring about modes and coding languages.
31:15 22 options, Gemini and ChatGPT discussion.
36:41 Internet delay, quiz results, $1,000 prize.
39:04 Free chat GPT users access new GPT 4.
44:52 Successful test of token counter and recall.
53:15 ChatGPT: a powerful business operating system. Companies invest thousands to unlock its potential.
57:02 Chat GPT 4 o Mini does not allow file uploads.
01:01:47 Grateful for support, join giveaway, pay attention.
Keywords:
Jordan Wilson, quiz, podcast, GPT-4o, Chat GPT, trick questions, Microsoft, IBM, OpenAI, Amazon, NVIDIA, Meta, Llama 3.1 model, paid AI model, senate Democrats, thanks a million campaign, giveaways, contests, Everyday AI, tokens, Perplexity Pro, Everyday AI Prompt Polish Chat GPT Course, business owner, large language models, PowerPoint presentations, Chat GPT teams, Gemini, Claude, GPT 4 0 Mini, Python code.
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A new large language model from the industry leader.
Huge updates in AI lawsuits.
International turmoil around AI regulation.
That's just the beginning. This week was a chaotic one in AI news. What's it all mean for your biz? We got you.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Use of Copyrighted Content to Train AI
2. Current State of AI Education
3. Release of OpenAI's GPT 4 o Mini
4. Launch of AI-Driven Education Platform, Eureka Labs
5. Withholding of Meta's future AI models and features by the EU
Timestamps:
03:15 Tech giants accused of illegally using YouTube subtitles.
07:00 Language model akin to a search engine.
10:35 OpenAI requests stories, affecting journalism and copyright.
11:46 Journalist pivots to AI, predicts legal implications.
17:41 AI course for building functioning web app.
18:58 Kaparthy is a leader in AI development.
22:27 Off-camera conversations reveal more significant insights.
27:29 EU announces strict EUAI Act; Meta's LAMA.
30:06 OpenAI unveils new GPT-4oMini language model.
31:56 OpenAI API facing issues, costly for developers.
38:07 Use GPT-4.0 for products, services, AI.
41:06 GPT-4 Mini leads in machine learning, AWS offers fine-tuning.
42:44 OpenAI's development lacked, developers looked elsewhere.
Keywords:
AI assistants, human teachers, LLM 101n, digital cohorts, physical cohorts, Meta's celebrity chatbots, storyteller AI large language model, Python, C, CUDA, funding, AI technology education, resources focus on sales, Jordan Wilson, Everyday AI, Thanks a Million Giveaway, tech giants' illegal use of YouTube subtitles, Anthropic, NVIDIA, Salesforce, copyright violation, training large language models, decline in traffic for Stack Overflow, Marquise Brownlee, mister Beast, Meta withholding AI models from EU, Apple's withheld AI features, OpenAI GPT 4 o Mini, cost-effective AI solutions, competitive pricing of AI models.
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There's nothing MINI about GPT-4o Mini. OpenAI just released a brand new model, and it's actually a LOT bigger than you might realize. We give you everything you need to know: including some live comparisons with GPT-4o, the impact on the business world, and 7 important things you need to know.
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Related Episode:
EP 274: 7 things you need to know about GPT-4o and what OpenAI isn’t telling the truth about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Introduction to GPT-4o Mini
2. Impact of GPT-4o Mini on AI Industry
3. Comparisons Between AI Models
4. Accessing and Usage Implications of GPT-4o Mini
Keywords:
GPT-4o Mini, OpenAI, instruction hierarchy method, large language models, AI applications, energy demands, NVIDIA, AMD, Qualcomm, GPUs, AI advancement, cost-output balance, price per million tokens, MMLU score, GPT 3.5 Turbo, ChatGPT, Jordan Wilson, problem solving test, Verity Solutions, Nomezy, Home Vigil, Lifeguard, AI advancements impact, OpenAI Playground, vision capabilities, environmental implications, Apple's AI plans, Anthropic, Google, Everyday AI Show.
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If AI is supposed to make things go fast then why can enterprise adoption be so slow? Rajamma Krishnamurthy knows a thing or two about it. She’s the Sr Director, Leader Enterprise AI for Microsoft. So not only is she an actual PRO at helping enterprises grow with AI, but she also works at one of the largest companies in the world that builds the AI we all use.
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Join the discussion: Ask Jordan and Rajamma questions on AI and enterprise
Related Episodes:
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Steps to Implementing AI in Companies
2. Four Pillars of Implementing AI
3. Impact and General Perception of AI
4. Challenges of AI Adoption
Timestamps:
01:20 Daily AI news
04:40 About Rajamma and her role at Microsoft
09:11 Utilizing search function to quickly find documents.
11:30 AI is an enabler, focus on strategy.
14:14 AI is essential for future business success.
17:21 Form passionate team, understand business, focus areas.
22:56 Data-driven decision-making is crucial for success.
26:53 AI integrated into various non-AI companies.
31:02 Advice on overcoming AI inertia and momentum.
31:45 Embrace AI, experiment, and move forward confidently.
Keywords:
AI implementation, big companies, AI-solvable business problems, architecture perspective, infrastructure readiness, AI adoption education, responsible use of AI, AI in customer support, future job requirements, AI skills, institutional knowledge, decision-making, future of knowledge work, generative AI, business strategy, shared services, US and Japan companies, AI adoption hesitation, AI democratization, small companies, AI development pace, employee training, AI inertia, everydayai.com, podcast subscription, AI models, European Union, AI in health care, Microsoft, AI in Japanese companies.
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Should classrooms be banning AI? Or should they be encouraging students to use it at every step of the way? And with so much uncertainty, how can we be prepared for what the future of education looks like? Jules White, Senior Advisor to the Chancellor for Generative AI in Education at Vanderbilt University, joins us to tackle those tough questions.
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Join the discussion: Ask Jordan and Jules questions on AI and education
Related Episodes: Ep 168: AI in Higher Education is Broken. How to Fix it.
Ep 252: What schools need to do now to benefit from an AI future
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. AI Content Detectors in Education
2. Importance and Need for AI Training
3. Embracing Technology in Education
4. ChatGPT and its Impact on Higher Education
5. Ethical and Legal Issues with AI Training Practices
Timestamps:
01:30 Daily AI news
05:00 About Jules and his role at Vanderbilt University
08:19 Rapid adoption of AI presents challenges.
13:16 Teaching generative AI as a foundational skill is essential.
16:39 Self-learners benefit from personalized learning tools.
23:01 Understanding generative AI is crucial for students.
26:52 Faculty creatively engage students in language learning.
29:16 Thesis flagged, AI detectors lack nuance.
31:48 New technology creates growth, risks irrelevance.
Keywords:
AI content detectors, AI in education, intentional use of AI, innovation in technology, augmented intelligence, critical thinking, creativity in education, chat GPT, interdisciplinary challenges, free AI course, higher education changes, prompt engineering, AI biases, generative AI, AI in the classroom, Google and OpenAI controversy, Imagine 3, Eureka Labs, traditional teaching methods, AI learning experiences, AI adoption challenges, generative AI skill demand, high school education, AI teaching incentives, university technology adaptation, AI detectors critique, conflicting perspectives on data, personalized learning, online learning resources, mental atrophy due to AI reliance.
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I have a secret. I'm barely using Chrome nowadays. The reason is simple -- AI. I'll show you some dead easy tips and tricks on how you can start winning back your time like yesterday with my new fave AI-powered browser. And it's prolly not what you think.
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Related Episodes: Ep 251: Are LLMs Actually Connected To The Internet?
Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
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Topics Covered in This Episode:
1. Overview of Microsoft Edge Copilot
2. Key Features of Microsoft Edge Copilot
3. Practical Application of Microsoft Edge Copilot
4. Interaction with Web Page and AI
5. Personal Life Application of Copilot
Timestamps:
01:30 Daily AI news
05:10 My AI-powered browser of choice
08:53 Browser choice impacts AI tool usage significantly.
12:39 Access to Microsoft 365 Copilot may vary.
13:43 Amazon announced AI shopping assistant Rufus.
18:00 Copilot banner allows for AI-generated prompts.
22:35 3 options for Microsoft Copilot usage, settings required.
24:15 Microsoft Copilot improves live typing experience.
27:03 Leverage Copilot's full power for efficient tasks.
31:41 New feature changes how you use Internet.
34:46 Microsoft Copilot streamlines Internet search experience.
38:42 DALL E in Edge sidebar for blog graphics.
39:57 Use Copilot banner for best language models.
Keywords:
Microsoft Edge Copilot, AI-first approach, internet use, uploading image, using microphone, utilizing DALL E 3, chat with web page, AI implementation tips, faster research, Jordan Wilson, Nike impact reports, PDF format, browser efficiency, Copilot banner, conversational styles, page summary, conversational interaction with web page, audio playback, blog post outline, Everyday AI podcast, AI-powered robots, Google Gemini AI, Workspace apps, Apple betas, iOS 18, iPad OS 18, macOS Sequoia, ChatGPT, Amazon Prime Day, Microsoft 365 Copilot enabled account.
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OpenAI's 5 levels to AGI leaked -- what does it mean?
Google Gemini's got some huge robotic breakthroughs with its Gemini LLM -- is this the big thing that'll push robotics forward? 🤖
Amazon released hundreds of new GenAI features and Rufus -- will it change shopping
Here's this week's AI News That Matters!
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Advancement in Robot Navigation: Google DeepMind
2. Amazon Web Services Major AI Rollout
3. Amazon's New AI Shopping Assistant - Rufus
4. OpenAI's Project Strawberry
Timestamps:
02:20 Google DeepMind Robotics
05:09 OpenAI reveals new AI level classification system.
09:46 Amazon launches AI shopping assistant, named Rufus.
13:36 AI to navigate web autonomously for research.
15:06 Rumored strawberry project, continuation of Q Star.
19:00 Advancing AI models can replicate human actions.
22:53 Language models evolving to require human guidance.
26:08 Chatbot battles, part of weekly AI routine.
29:24 AI news recap
31:39 Win money by answering questions live.
Keywords:
AI development, Google DeepMind, robot navigation, Google Gemini 1.5 pro, office automation, human-robot interaction, OpenAI, AI classification system, Amazon Web Services, generative AI, AI language models, AWS App Studio, AI revenue, AI shopping assistant, Rufus, Amazon Prime Day, project Strawberry, AI reasoning, Stanford's self-taught reasoner, Q Star model, AI web research, Bloomberg, AI progress tracking, model generation, social media marketing, AI news, AI live event, AI models evolution, chatbot advancements, workflow automation.
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Wondering what on earth a GPT is and if you should use one? Yes! GPTs kick ChatGPT up a notch, letting you make custom workflows to fit your needs. Whether you're a newbie or you've dabbled with a few GPTs before, this episode is for you.
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Join the discussion: Ask Jordan questions on GPTs
Related Episodes:
Ep 183: Turning GPTs Into Gold – Monetization Strategies and Practical Applications
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Timestamps:
03:00 Basics of GPTs
08:52 Knowledge workers can benefit from GPTs.
11:49 Creating custom GPTs allows fine-tuned control.
15:40 Many publicly available GPTs for custom use.
19:04 Customized ChatGPT utilizes industry-specific knowledge.
22:01 Multiple GPTs used in chat for autonomy.
25:45 Sell custom GPTs and make some money.
27:47 Quick rapid-fire Q&A for live audience.
32:08 Identify repetitive tasks to create GPT.
35:01 Customize ChatGPT for specific tasks and needs.
39:44 Provide input-output pairs to improve GPT performance.
43:41 Use web reader GPT
48:59 Using GPT helps complete tasks efficiently.
Topics Covered in This Episode:
1. Custom GPTs: An Overview
2. Utilization of GPTs in Everyday Tasks
3. Creating Custom GPTs
4. Monetization of GPTs in GPT Store
5. GPTs in Action: Automating Work Operations
Keywords:
artificial intelligence, podcast, Bing, priming the AI, GPT, chat GPT, custom GPT, GPT store, workflow automation, repetitive tasks, knowledge tasks, ChatGPT Plus, GPT customization, business development, career growth, Slack's AI tools, Boston Dynamics' robot, Microsoft's AI model, GPT course, Copilot Pro, monetization, browser plugin, document recall, targeted research, configuration instructions, conversation starters, custom knowledge base, paying users.
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It's no secret – AI can be an energy hog. Did you know a ChatGPT prompt is about 10X more resource-heavy than a Google search?! Can we actually use AI to reduce energy consumption in the long run? And how can companies start thinking about the impact of their Generative AI usage? Aymeric Maudous, Founder and CEO of Lord of the Trees joins us to discuss.
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Join the discussion: Ask Jordan and Aymeric questions on AI and society
Related Episodes: Ep 257: GenAI – Turning trash into treasures?
Ep 119: AI in Renewable Energy – Insights from NVIDIA
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Concerns about resource-intensive nature of AI
2. Use of AI for environmental efficiency
3. High-tech and low-tech ecological methods
4. AI Energy Consumption and Environmental Impact
5. Encouraging Greener AI
Timestamps:
01:45 About Aymeric and Lord of the Trees
06:15 Using drones for efficient, precise reforestation monitoring.
08:00 Exploring artificial intelligence for tree growth efficiency.
11:08 AI aids in biodiversity recovery and regeneration.
13:41 Indigenous knowledge crucial for managing forest landscapes.
19:19 Drones work 48 hours, plant more trees.
22:52 Projects sustain endangered species in various locations.
26:57 Prototype drone tested in extreme weather conditions.
29:55 Algorithms, progress, support, one step at a time.
Keywords:
Jordan Wilson, AI environmental impact, resource-intensive nature of AI, Aymeric Maudous, Lord of the Trees, biodiversity restoration, landscape analysis, plant requirements, digital twin technology, precision planting, drones, forestry methods, LIDAR, Python algorithms, data collection, reforestation decision-making, soil analysis, high-tech and low-tech combination, indigenous people engagement, emissions monitoring, AI carbon footprint, exponential growth in AI, greener AI, everydayai.com, drone swarm, B Corp, generative AI's power demands, top management support, reforestation projects, drones design modification.
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Wanna know a lil secret? Perplexity's a cheat code for growing your biz. Chances are, though, you've got a few things wrong about this AI powerhouse and you're not using it to the fullest. We dish the real 101 on Perplexity and the 5 things you need to know about it.
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Join the discussion: Ask Jordan questions on Perplexity
Related Episodes: Ep 271: OpenAI Releases GPT-4o: 12 things you need to know
Ep 301: Anthropic Claude 3.5 Sonnet – How it compares to ChatGPT’s GPT-4o
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Overview of Perplexity
2. Differences Between Free and Paid Perplexity
3. Use Cases of Perplexity
4. View and Edit Sources Using Perplexity
5. Future Implications of Perplexity
Timestamps:
01:20 Daily AI news
06:30 Perplexity overview
08:52 Many hours spent doing work on the open Internet.
13:56 Using perplexity to create custom instructions, responses.
15:16 Save time by curating and publishing content.
19:43 Decent options, limited internet connection, paid plans.
23:57 Live explanation and request for audience input.
25:02 Analyze company's and 3 competitors' insights
30:07 Check sneaker dunk, remove old or irrelevant sources.
32:36 Nike Air Jordans: SWOT analysis
39:08 Limit search to 5 websites at a time.
42:09 GPT-4o update competes with perplexity.
44:11 GPT-4o from OpenAI provides valuable customization options.
48:07 Website blocks scrapers to protect information.
52:16 Fewer clicks on websites, future in AI.
Keywords:
Jordan Wilson, Perplexity, paid version, free version, advanced models, GPT-4, OpenAI, Claude 3.5 SONET, AI images, SWOT analysis, Nike, Adidas Yeezy, Under Armour Curry, New Balance Kawhi, athletic shoe brands, fertility clinics, SEO, Chat GPT4, Perplexity features, large language models, research tools, online news scraping, controversy, search engine, Microsoft Copilot, Everyday AI, FBI, Russian bot farm, antitrust issues, Perplexity as answers engine.
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You're making one BIG mistake with ChatGPT. Actually, we're all making the same mistakes when we use large language models. I've trained THOUSANDS of business leaders live on getting the most out of LLMs. So I know not only WHY we're all making this mistake, but how to easily fix it as well.
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Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 266: Stop making these 7 Large Language Model mistakes
Ep 271: OpenAI Releases GPT-4o: 12 things you need to know
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Current Role of AI and Skills
2. Future Impact of AI on Employment
3. Misuse of AI and the Potential Effects
4. Harnessing AI for Skill Improvement
Timestamps:
02:10 Daily AI news
05:30 How we use LLMs
08:12 AI changes our approach to technology use.
11:45 Early use of generative AI in writing.
13:53 Precision in words, paragraphs, and transitions matters.
19:07 Writing newsletter, storytelling, and crafting compelling copy.
23:12 Train, refine and use ChatGPT wisely.
26:53 Early articles described AI as dangerous technology.
28:31 Consulting companies embrace large language models for growth.
33:44 We offer assistance for various problems.
Keywords:
AI, expertise, manual skills, promotions, rewards, skill sets, daily newsletter, writing, ChatGPT, prompt engineering course, RefineQ technique, large language models, misuse of AI, intentional AI use, consulting companies, PwC, Deloitte, Accenture, outperforming humans, narrow tasks, Jordan Wilson, individual consults, LinkedIn promo, laziness, productivity, efficiency, OpenAI, The New York Times, AI video tools, AI-powered health company.
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Was your info compromised in the OpenAI hacks? What will Tesla's new Optimus Gen 2 mean to the business world? And how did Apple get a board seat at OpenAI? We'll answer those questions, and break down everything else you need to know to keep up in the world of Generative AI.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Hacking of OpenAI
2. Tesla's new Robot, Optimus Gen 2
3. Delay of Siri Upgrade
4. Apple Joins Microsoft in OpenAI Board
5. New Challenger to GPT-4o from SenseTime
Timestamps:
02:00 OpenAI breach highlights need for AI security.
06:13 Elon Musk expects Tesla humanoid robot cost.
07:29 Advancements in AI and humanoid robots discussed.
13:42 Debating AI capabilities in new Apple phone.
16:23 Apple joins OpenAI board, grows AI involvement.
21:06 Tech companies face intense federal antitrust scrutiny.
22:18 OpenAI important, powering Microsoft, Apple products.
26:02 SenseTime releases new GPT-4.
Keywords:
OpenAI, hack, Tesla, AI-powered, gen 2 Optimus robot, Apple, valuable seat, board, AI news, AI technology, generative AI, companies, careers, livestream, podcast, daily newsletter, data breach, design details, foreign government, influence operations, deceptive activities, AI models, Biden White House Administration, AI industry, safeguarding AI information, humanoid robot, Computer Vision technology, Elon Musk, market cap, Microsoft
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If I had to count, I probably use Generative AI at least 100 times a day. Some are advanced. Some are super simple. I'm going to be sharing some of the simplest ways that I use Generative AI to create Everyday AI and tell you the ways that you can use my same tactics to start winning back time today.
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Learn more in today's newsletter
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 189: The One Biggest ROI of GenAI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:30 Daily AI news
07:17 Knowledge workers adapt to succeed in AI era.
10:44 Behind the scenes of Everyday AI production.
18:21 Steal this method to learn about your career.
19:10 Customize Google search for efficient news updates.
23:01 Using shortcuts to gather information efficiently.
27:15 Using CastMagic and its features.
29:13 Automated transcription
33:57 Microsoft 365 Copilot helps with team work.
37:05 Addicted to Chrome, but now liking Edge.
40:20 Request to find specific generative AI statistics in PDF.
44:17 Chat prompt reused for specific AI training.
45:02 Optimize chat model use with refined method.
50:12 Use perplexity for efficient research queries, not Google.
52:03 Generative AI can save knowledge workers time.
Topics Covered in This Episode:
1. Practical uses of Generative AI
2. Tips for saving time using AI
3. Summarizing web pages for quick updates
4. Organizing and training ChatGPT for specific tasks
Keywords:
Microsoft 365 Copilot, Microsoft 365 Teams, Cast Magic, Chat GPT, Microsoft Edge, Chromium, Chrome Extensions, Copilot Integration, Perplexity, Google Search, Generative AI, McKinsey Digital, AI News, Amazon Web Services, Voila, Organizing Chat GPT, AI in Research, Custom Prompts, Knowledge Workers, New York City AI-powered Chatbot, Google's AI Reply Suggestions, Premium AI Features, AI Automation, Chat GPT Summaries, AI Content Generation, Everyday AI, AI News Headlines, Third-Party Information Connection, Bullet Points Summaries, Web Content Summarization.
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AI + sales = spammy. Right? Or, is there a better way? Can we actually use Generative AI to learn more about prospects, increase interest and connect more as humans? Manny Medina, CEO and Co-Founder of Outreach, joins us to discuss.
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Join the discussion: Ask Jordan and Manny questions on AI and sales
Related Episodes: Ep 262: AI Sales Secrets Revealed – Work less. Sell more.
Ep 94: Boosting Sales with AI Tools – Personalization Tips for Success
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Use of AI in Sales
2. Challenges of AI in Sales
3. Role of Sales Organizations
4. AI For Better Communication and Sales Strategies
5. Future of AI in Sales and Personalized Sales
Timestamps:
01:30 Daily AI news
04:50 About Manny and Outreach
07:30 AI's impact on sales and relevancy.
12:55 AI can be fun and impactful.
16:41 Feedback on interactions is essential for managers.
20:08 AI streamlines tasks, monitors relationships, evolves rapidly.
21:07 AI and human cooperation for future relevance.
25:00 AI-driven relevancy to increase in 2 years.
31:35 Prompt before you write, exercise empathetic muscle.
Keywords:
Sales organizations, new products, product positioning, customer interactions, AI in sales, feedback collection, sales rep instructions, generative AI, AI evolution, work-life balance, efficient sales reps, time management, sales outreach, obstacles in AI deployment, relevancy in sales, AI personalization, Meta AI, Apple OpenAI, Google AI, Manny Medina, Outreach, laziness in AI personalization, language models in communication, AI tools, meeting summaries, sales strategies, embracing AI technology, habit changes, daily newsletters, podcast sharing.
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In December 2023, we laid out 24 spicy hot takes on the future of Generative AI. We're giving ourselves a midterm report as we hit the halfway point of 2024 to see if we crushed our predictions, or if the nonstop pace of GenAI crushed us.
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Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 124: 5 Ways Generative AI Shows Up in 2024
Ep 171: GenAI in 2024 – What’s coming and what it means for you
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Review of 24 predictions for 2024
2. AI Robotics
3. AI Misinformation and Legislation
4. Large Language Models
5. Future of Big Tech Companies
6. Future of GenAI
7. Competition against NVIDIA
8. Predictions about OpenAI
9. Job Market Changes due to AI
Timestamps:
02:50 A look at our 2024 AI predictions.
05:52 Remote workers struggle to access AI systems.
11:11 Excited attendee sees NVIDIA's unveiling of robotics.
20:57 Training large language models requires quality data, not bots and trash content from Twitter.
26:02 GPT-4: Future desktop assistant with agent capabilities.
28:39 Rag becoming a buzzword in AI industry.
34:27 Copyright infringement lawsuits expected for large companies.
37:47 Expect number 9, big changes in AI.
43:09 NVIDIA's stock split made them top company.
51:33 Many AI tools can create products quickly.
57:29 AI investment leads to successful layoffs in 2024.
59:04 Midway through 2024, what about AI?
01:06:32 20 out of 24 predictions are true.
Keywords:
Jordan Wilson, generative AI, AI predictions, second computer AI, individualized learning, AI robotics, AI misinformation, AI legislation, AI watermarks, Grok, Apple AI, home assistants, AI agents, legacy media companies, large language models, Gen AI training, Microsoft, Amazon, NVIDIA, compute resources, Inflexion AI acquisition, AI future of work, agent capabilities, LangChain, retrieval augmentive generation (RAG), mini-RAG, traditional SEO decline, copyright battles in AI, OpenAI, video AI.
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Is TIME becoming an AI leader? What is Apple's new AI strategy? And AI outsmarts professors -- is that actually a sign of passing the Turing test? Here's this week's AI news that matters.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about
Ep 252: What schools need to do now to benefit from an AI future
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. TIME's AI deals with OpenAI
2. Apple's New AI Strategy
3. AI in Academia
4. Anthropic's Claude AI updates
5. NBC's implementation of AI
Timestamps:
01:50 Apple's AI strategy.
04:04 Apple hoping to compete with new software.
08:36 Time Magazine partners with OpenAI, benefits mutual.
11:03 AI products summarize content, reduce internet time.
16:03 College students using AI to cheat online.
19:17 US education system not fully teaching generative AI.
23:14 Anthropic releases powerful new AI features.
27:20 NBC uses AI for personalized Olympic recaps.
31:46 AI's impact on jobs and future skills.
Keywords:
AI content detectors, AGI, generative AI, educational systems, grading methods, Anthropic, Claude AI, GPT 4, Google Gemini, AI news, NBC, Al Michaels, Your Daily Olympic Recap on Peacock, Peacock streaming, AI-generated content, podcast, AI predictions, Jordan Wilson, Time Magazine, Apple, iPhone 16, OpenAI, 11 Labs, device upgrades, AI services, media partnerships, AI-generated exam answers, University of Reading, academic integrity, Turing test.
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If AI literacy is one of the most important skillsets in our future workforce, why are kids not being taught those exact skills. Instead, schools blanket ban AI. There's gotta be a better way. David Dodge, Founder and Director of CodaKid joins us to break it down.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and David questions on AI
Related Episodes: Ep 168: AI in Higher Education is Broken. How to Fix it.
Ep 252: What schools need to do now to benefit from an AI future
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Role of AI in Education
2. Importance of early AI Education
3. Ways to Incorporate AI Education
4. Ethical and responsible teaching of AI
5. Technical skills and Applications of AI for Kids
Timestamps:
01:15 Daily AI news
04:00 About David and CodaKid
09:23 Concern about AI's impact on critical thinking.
10:32 Skills needed for adults and children in AI.
16:02 Creating GPT assistance for personalized media recommendations.
18:27 AI struggles building full-stack apps, improving.
21:56 Concerns about AI in education and benefits.
24:45 Misunderstanding of AI literacy in US schools.
30:09 Potential impact of AI on children's future careers.
32:52 Exciting challenges in AI education for kids.
Keywords:
Jordan Wilson, David Dodge, generative AI, SoftBank Group Corp, bond sales, artificial intelligence investment, OpenAI, critic GPT, AI model, Code A Kid, kids coding academy, AB testing, technology programs, full stack applications, AI in education, teacher attrition, AI platforms, Chat GPT course, future employment, Everyday AI Show, computer science standards, online AI education, kidpreneurship, AI ethics, problem-solving, creativity, Chater GPT, personalized tutoring, Roblox, relevant tech skills.
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What does the future of AI look like? A lot of AI futurcasting starts as seedlings at AI conferences across the country. Sometimes we're lucky enough to attend and speak at some of these conferences. Sometimes, speakers and panelists are spot-on when talking about the future of AI. And at times, they can miss the mark. We're giving you all a quick recap of one such conference we attended -- Chicago AI Week.
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Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 236: NVIDIA GTC Recap – 3 ways NVIDIA is going to change the AI world
Ep 288: Big Tech’s Critics Have Gotten a Lot Wrong on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Innovation in Business and AI
2. Role and Importance of AI Experts
3. Ethical Considerations in AI Implementation
4. Trends in AI Startups and Public Companies
5. Chicago AI Week
Timestamps:
01:30 Study challenges traditional assessment, questions AI in academia.
05:17 Recapping Chicago AI Week, common trends
09:08 Unprecedented business innovation, US leading in safety.
13:37 Transition to AI native is vital. Industry expertise shines.
16:12 AI impacts on productivity, ethics, and jobs.
20:12 AI startups need to be cautious with value.
22:56 GPTs enable companies' similar capabilities.
26:32 Demand for generative AI generalists will grow.
27:52 Experts should understand basics of generative AI.
32:32 AI content detection is not real, period.
36:33 Engaging with content puts you in top 1%.
Keywords:
business innovation, safety, risk mitigation, generative AI, AI first company, AI native company, AI expertise, ethics in AI, reskilling, upskilling, AI job displacement, AI impact on workforce, public companies, AI investment, company mission and AI alignment, startups, value propositions, AI language models, prompt engineering, tokenization, context windows, transformers, AI generalists, international monetary fund, AI in academia, AI voice clone, AI content detection, AI startups, AI conference, livesteams
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AI implementation is tricky. If only there were some simple, easy to follow steps to understand it all. Oh wait... that's what we're going to be breaking down with Isar Metis, CEO of Multiplai.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Isar questions on AI
Related Episodes: Ep 126: Real Business Use Cases for AI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Law of Continuously Improving Compromise
2. Importance of Prompt Engineering and AI Tool Testing
3. Scalability and Efficiency with AI
4. Application of AI in Business
Timestamps:
01:10 OpenAI delays voice mode, Anthropic introduces projects.
04:45 About Isar and Multiplai
06:51 Insights on AI for business growth summarized.
09:13 AI systems streamline customer service, benefitting companies.
12:51 Reconsider productivity and efficiency in age of AI.
16:18 AI tools enhance design and efficiency without coding.
20:23 Advocating for smaller language models in AI.
21:49 Great advice on data and optimization options.
27:32 Regularly use various image generation tools for testing.
28:16 Run up to 6 large models, compare use cases.
33:57 Companies should prioritize proper processes and quality.
36:50 Strategic and HR evaluations for AI impact.
37:37 Company committees prioritize, implement and evaluate solutions.
Keywords:
Isar Meitis, AI tools, presentations, graphic design, proprietary data, AI policy, improving compromise, adapting to new technology, implementing AI, prompt engineering, testing AI tools, scalability, marketing, sales, operational processes, service scale, home automation industry, bottlenecks, measurable wins, strategic evaluations, HR evaluations, AI community, leveraging AI podcast, everyday AI, 5 laws for success in AI era, OpenAI, ChatGPT, Multiply, customer service, transitioning professions to skills.
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Is there finally a (real) ChatGPT killer? Anthropic just released its newest model, Claude 3.5 Sonnet. And out of the gate, this thing is friggin powerful. It's outbenchmarking every other model and the new Artifacts feature is a legit game-changer. But, does it actually hold its weight against ChatGPT's new GPT-4o head-to-head? We put it to the test.
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Join the discussion: Ask Jordan questions on Claude 3.5 Sonnet
Related Episodes: Ep 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Overview of Anthropic Claude 3.5 Sonnet
2. Claude 3.5 Sonnet Artifacts Feature
3. Comparison of Claude 3.5 Sonnet to GPT-4o
4. Real World Examples and Use Cases
Timestamps:
03:00 Reviewing powerful Anthropic's model and its performance.
08:00 Anthropic touts 3.5 Sonnet's powerful new vision model.
10:58 Excited about new artifacts feature, free with limits.
16:31 Anthropic's artifacts revolutionize language model interface.
23:21 Usage limited to one chat window for efficiency.
27:46 Language models struggle with common problems.
36:26 Create solution for non-existent problem, market strategy.
39:52 Computer vision for food identification and organization.
46:44 Chad GPT more accurate than Claude.
48:13 Create game sales spreadsheet, visualize data graph. Upload.
54:39 Write newsletter in host's style from podcast transcript.
01:02:28 OpenAI may overshadow GPT-3 with new features.
01:05:15 Chat GPT excelled, handled large spreadsheet impressively.
Keywords:
Jordan Wilson, Everyday AI, podcast transcript, newsletter copy, AI tools, Anthropic, Chat GPT, Claude, artifacts feature, coding visualization, front end website design, OpenAI's GPT builder, real-time internet access, third-party API, dynamic data, Claude 35 Sonnet, GPT 4o, logic questions, 35 OPUS, GPT Next, handling large spreadsheet, logic quiz, river crossing problem, t-shirts drying question, airplane black box, joke generation, marketing ideas, company brainstorming, Quantum Haven, SleepSync Sphere, Neural Dwell, Mood Morph, computer vision, food items identification, nutritional information, Chicago skyline, chatbots, data analysis, top selling video games, interactive graph.
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NVIDIA became the world's most valuable company. Then they lost that title.
Why is ChatGPT no longer the king of the LLM hill?
Did you see Runway Gen-3?
We'll explain all of that in this week's AI News That Matters.
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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Competition in development of LLMs
2. NVIDIA's rise as the most valuable company.
3. OpenAI drama and partnership
4. Runway's new AI model
Timestamps:
02:05 Runway's Gen 3 Alpha promises faster AI video generation.
06:40 Claude 35 Sonnet AI chatbot offers innovation.
08:39 Benchmarks show Sonnet 3.5 ahead of GPT-4.
12:14 Live preview and rendering change language models.
15:16 NVIDIA shares slump, Microsoft regains top spot.
19:57 OpenAI and Color Health collaborate for cancer care.
21:22 OpenAI acquires Rockset to enhance enterprise products.
26:58 OpenAI accused of prioritizing product over safety.
29:12 Concern about AI safety and partnerships with OpenAI.
31:41 AI companies jostle for dominance in tech.
Keywords:
OpenAI, Meta, Anthropic, language models, Claude 3.5 SONNET, artifacts, NVIDIA, market cap, GPU chips, artificial intelligence, Hour 1, live AI clone, human interview, Jensen Huang, AI safety, SAFE Super Intelligence Inc., Ilya Sutskever, quad 3.5 Sonnet, Microsoft, Apple, Color Health, cancer research, RockSets, enterprise products, Runway, Gen 3 Alpha, AI video space, AI avatars.
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Jason Feifer says we should use AI to break things. Might sound abrupt. But it’s sound advice coming from one of the leading voices in entrepreneurship and business. So how can we use AI to break things? We give a step-by-step guide.
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Join the discussion: Ask Jordan and Jason questions on AI and innovation
Related Episodes:
Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AI
Ep 216: How to stand out in a world filled with AI startups – Insights from Taplio CTO
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:30 About Jason and Entrepreneur Magazine
03:15 Break things that are already broken - what it means
09:20 Questioning familiar systems, seeking improvement through change.
11:18 AI tools streamline tasks, freeing time.
14:46 First interactions with AI
18:15 AI opportunities and caution in market focus.
20:23 Develop systems for desired outcomes, AI's role.
25:31 Belief in fixed work, worker ratio fallacy.
26:37 New technology leads to economic shifts and innovations.
30:46 Adapt to change for future job fulfillment.
Topics Covered in This Episode:
1. AI's Impact on Traditional Business Processes
2. Viewpoints on Business and AI
3. Future of AI in Business and Everyday Life
4. Jason Feifer's Stance on AI and its Potential for Transformation
5. Impact of AI on Media Industry
Keywords:
AI, Jordan Wilson, Jason Feifer, antiquated business processes, challenging systems, property managers, generative AI, newsletters, business growth, creative expression, DALL E, Fathom, AI in business, consumer problems, Gartner hype cycle, microwaves, tech layoffs, entrepreneurship in AI, Entrepreneur Magazine, Jason Pfeifer, law, academia, student learning, AI advice, Everyday AI newsletter, job losses, economic shifts, lump of labor fallacy, automation, fast food kiosks.
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How does AI go from 'cool business tool' to changing everything? It's not an overnight process. It takes intentional steps. Rehgan Bleile, CEO of AlignAI, walks us through those steps.
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Related Episodes: Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Current AI Trends
2. AI Implementation and Barriers
3. Security Concerns of AI Implementation
4. Applications of Generative AI
Timestamps:
01:35 Daily AI news
04:15 About Rehgan and AlignAI
08:33 Enhancing customer service with AI for industries.
12:48 Identifying core problems and solutions in industries.
15:14 Leveraging AI across company operations to improve.
18:52 AI governance and training critical for user adoption.
20:59 Reliance on systems requires comfort and oversight.
26:33 Create AI policies, buy point solutions. Ask vendors.
27:20 Implement AI strategy methodically and educate employees.
Keywords:
small AI models, open-source AI, AI policies, steering committee, AI implementation timeline, workforce transformation, risk mitigation, Jordan Wilson, generative AI, AI dependency, digital literacy, AI literacy, data privacy, data ownership, copyright IP protection, data storage, emerging AI trends, generative AI impact, AI measurement, AI internal usage, sales, marketing, Ilya Sutskever, Safe Superintelligence Inc, Accenture, cloud migration, Align AI, regulated environments, AI in customer service.
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Ready or not, AI avatars are here. (We're obviously ready.) Sure, AI avatars change how we can communicate. But, the impact doesn't stop there. Gen Ukaj from Hour One, a company pushing AI avatars forward, joins us to discuss the tech and its future.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Gen questions on AI avatars
Related Episode: Ep 296: AI Clone Tries to Stump Human Counterpart Live on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI Avatars and Digital Twins
2. Hour One and Virtual Human Technology
3. Human Interaction and Limitations of Bots
4. Special Applications of AI Avatars
Timestamps:
01:35 Daily AI news
04:35 About Gen and Hour One
06:24 Avatar derived from video games, personas explained.
09:50 Use AI to broaden audience with personalization.
12:45 Create diverse content easily using virtual clones.
17:05 AI meeting assistance transforming future communication technology.
18:50 Universe is business to business, potential for central bot.
21:35 Ethical concerns about advanced technology in AI.
25:59 AI avatars and robots in healthcare touchy.
28:00 Exploring AI's moral and ethical implications.
Keywords:
Jordan Wilson, AI avatars, digital twins, OpenAI, mayoral candidate, AI chatbot, responsible AI use, politics, Meta, FAIR Group, AI models, NVIDIA, market value, AI chips, Gen Ukaj, Hour 1, virtual human technology, digital clones, deep fakes, consensual creation, sponsorship, events visibility, AI technology in meetings, bot figure, ethical considerations, virtual clone, high-quality video production, sales communications, marketing content, training videos.
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Enter to win a FREE Custom Avatar from Hour One as part of their #HourOneChallenge - Go find out more here
For the first time ever....(As far as our research shows) This will be the first time an AI clone interviews its human counterpart live. Is my AI clone smarter than me? Will I crumble under the pressure?
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Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Potential Impact of AI on Careers
2. Leaders in AI Technology
3. Discussion on Global AI Innovation
4. Privacy and Security Concerns with AI
5. Creative Potential of AI
6. AI Integration into Society
Timestamps:
02:25 Daily AI news
07:55 OpenAI excels as business system, surpasses others.
12:15 Train AI, use tools, future of creativity.
16:00 Traditional web search outdated, replaced by alternatives.
16:40 Internet use becoming unbearable, predicts shift to AI.
21:49 Altman and Huang predict AGI within 5 years.
25:14 NVIDIA's rise to most valuable company predicted.
28:30 AI will automate and oversee business decisions.
32:27 Hour One offers AI avatar video technology.
36:18 Personal data privacy and security concerns with AI.
38:57 Companies need humans to weed out bias.
43:00 Flying cars may flop at first, but future potential.
44:35 AI technology may replace human work gradually
Keywords:
Jordan Wilson, AI technology, career disruption, Artificial General Intelligence, Artificial Superintelligence, NVIDIA, Amazon, AI digital avatar, generative AI, McDonald's, IBM, AI drive-through technology, Google DeepMind, v2a model, Runway Gen 3 Alpha, AI video creator, OpenAI, ChatGPT4O, AI integration into workforce, future of work, AI as co-workers or bosses, US AI innovation, China AI competition, Hour 1 communication technology, AI companionship industry, data privacy, AI bias and stereotypes, self-replicating AI, humanoid robots, AI in day-to-day life.
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Why Apple won't pay OpenAI. Find out the major AI feature Microsoft is delaying. The reason why Alexa's AI is so far behind. How Sora got beat by Luma Dream Machine. And more in this week's AI News That Matters!
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about
Ep 278: Microsoft Build AI Recap – 5 things you need to know
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. OpenAI's Unique Partnership with Apple
2. Microsoft's Delayed Launch of Recall Feature
3. Luma AI's Dream Machine Model
4. Amazon's Alexa AI Development Challenges
5. Pope Francis Talks AI at G7
Timestamps:
03:00 Apple not paying OpenAI for partnership
07:34 Apple users get free access to GPT-4.
11:35 Microsoft's new Copilot Plus PCs recall feature delayed.
14:41 Enterprise companies likely won't refuse recall feature.
20:27 Comparison of AI video tools and platforms.
24:05 Alexa faces challenges in development and integration.
25:36 Pope warns of AI dangers to humanity.
28:59 S&P growth in 2023 driven by AI.
32:00 Jordan to be questioned by AI clone.
Keywords:
Jordan Wilson, Everyday AI, generative AI, Apple, OpenAI, partnership, ChatGPT, GPT-4, processing power, Microsoft, recall feature, privacy concerns, Luma AI, Dream Machine, text-to-video model, Sora, Cling, Luma Labs, AI video tool, school breaks, monster camp, AI image generators, Amazon, Alexa, Pope Francis, AI risks, AI regulation, Magnificent Seven, AI superpower, AI clone.
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Prompting a large language model requires a bunch of tech know-how right?
↳ Super structured inputs
↳ RAG
↳ Fine-tuning
Meh. Not so much. The best way to prompt your way to better results? Flex your domain expertise. Jared Zoneraich, Founder of PromptLayer, joins us to discuss.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jared questions on building AI
Related Episodes: Ep 164: ChatGPT Doesn’t Suck. Your Prompts Do.
Ep 179: Mastering Prompts With An OpenAI Ambassador – The One Secret Skill Revealed
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Importance of prompt engineering
2. Role of non-technical domain experts
3. Evolving landscape of AI technology
4. Future concerns and preparations
Timestamps:
01:35 Daily AI news
04:32 About Jared and PromptLayer
07:19 Creating successful AI product hinges on expertise.
08:45 Simplifying AI development and retaining human input.
11:50 Small models vs big models: implications for AI.
17:10 LLMs elevate conversation and knowledge sharing.
21:12 Product success depends on voice and connection.
22:29 Rapid adaptation to new technology creates disparity.
27:02 Prepare AI models, modular approach, conversational application.
29:38 Key steps in maximizing AI model productivity.
Keywords:
Jordan Wilson, prompt engineering, machine learning, Pope Francis, ethical AI, G7 summit, AI regulation, General Paul Nakasone, OpenAI, cybersecurity, Microsoft, recall feature, privacy advocates, Jared Zoneraich, Prompt Lair, nontechnical domain experts, AI products, AI services, Cursor, Copilot, Hevia, ParentLab, Gorgias, communication skills, large language models, commoditization of knowledge, computational thinking, AI revolution, AI applications, human expertise in AI.
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When we think AI and jobs, we think displacement. Like... how many jobs might AI take from us humans? But what if we start flipping that script a bit. Why? If we leverage AI in the right ways, it can actually be a driver for local and regional economic development. Joining us to discuss is Xiaochen Zhang, the Chief Responsible AI Officer &. Executive Director AI 2030.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Xiaochen questions on AI and economics
Related Episodes: Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
Ep 224: AI and its Impact on Society – How it might look
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI in Local Economic Opportunities
2. Overcoming Challenges for AI Deployment in Cities
3. Specific Examples of AI Innovations
4. Impact of AI on Employment
5. AI Adoption Strategy in Business
Timestamps:
01:10 Daily AI news
03:50 About Xiaochen and AI 2030
06:07 AI will replace jobs, impacting security.
07:00 IMF report: 80 million jobs replaced, AI emergence
10:15 Utilize AI to enhance your business strategy.
15:03 AI's impact on oil industry is key.
17:46 engage externally, leadership enablement.
21:15 Leverage AI for collaborative industry models and growth.
26:04 Raise AI awareness, empower talent, innovate responsibly.
Keywords:
Chicago AI Week, AI innovation, community, collaboration, Everyday AI Show, AI newsletter, Jordan Wilson, Xiaochen Zhang, local economic opportunities, AI use cases, go-to-market strategy, AI branding, stakeholders, AI awareness, AI training, new economic opportunities, DeepMind, Harvard researchers, virtual rat, artificial brain, neuroscience research, Luma AI, Dream Machine, AI text to video tool, digital avatar, AI Steve, British parliament, AI 2030, job displacement, IMF reports
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AI: underhyped or overhyped? Have we fully realized the power of Generative AI and we're sitting at the top of the hype curve? Or, have we not even started to see and realize its potential? Jamal Khan, Head of Helix Center for Applied AI and Chief Growth and Innovation Officer Connection Inc, joins us to discuss.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jamal questions on AI
Related Episodes: Ep 257: GenAI – Turning trash into treasures?
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI and its impact on different industries
2. Significance and implementation of generative AI
3. Strategies for successful AI adoption within organizations
4. Challenges of AI implementation in organizations
Timestamps:
01:15 French AI startup Mistral secures €600M funding.
04:15 About Jamal and Connection
07:09 Democratization of artificial intelligence through conversational access.
10:12 AI is evolving with diverse applications.
13:15 Addressing real vs hype, ROI, skillsets, budgets.
18:51 AI's challenge, trust's importance in web applications.
23:00 Visionary conversation led to ongoing cultural shift.
24:36 Cultural ethos, small wins, and employee support.
28:02 Creating open, familial culture for employee connection.
32:27 AI, like electricity, impacts industries, creates opportunities.
34:01 Jamal shared insightful knowledge, delivery tips included.
Keywords:
Generative AI, Jordan Wilson, AI technology, US AI restrictions, China, advanced chip technology, OpenAI, Elon Musk, lawsuit, Nonprofit mission, French AI startup, Mistral, Funding, Jamal Khan, Helix Center For Applied AI, Connection Inc., AI democratization, AI tangibility, AI hype cycle, AI implementation, AI resources, skill sets, everydayai.com, AI transition, AI adoption, Initial core group, Square root principle, Chat GPT, Trust in AI, AI transformation.
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Apple's trying real hard to make 'Apple Intelligence' more important than actual Artificial Intelligence. Why? Let's be honest - Apple got some things right when it comes to AI. But it probably got more things wrong.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Apple's AI
Related Episodes: Ep 286: Apple’s AI – Too little, too late?
EP 274: 7 things you need to know about GPT-4o and what OpenAI isn’t telling the truth about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Apple Intelligence and Its Offerings
2. New and Improved Siri
3. ChatGPT Integration with Apple's AI
4. Criticisms and Disappointments with Apple's AI
5. Predictions and Speculations with Apple AI
Timestamps:
01:40 Daily AI news
05:01 Apple rebrands AI as Apple Intelligence
07:36 Apple's track record suggests future success.
11:47 Apple's 3 billion parameter model is small.
13:50 App turns sketches into images, offers cleanup tools.
19:07 Talking less to devices, using on-screen awareness.
22:35 Market reacts to Apple's business strategy change.
25:42 OpenAI releases base model, with added features.
26:49 Edge AI uses personal data, then private cloud.
31:14 AI helps prioritize important notifications over others.
36:23 AI use for internet, productivity, missed opportunities.
37:21 Apple Intelligence may just be a wrapper.
40:32 Siri's missing temperature and selective improvement criticism.
44:43 Skeptical about Apple's new AI assistant.
47:03 Siri suggests using ChatGPT for some tasks.
52:28 NVIDIA important, Apple may decline in rank.
Keywords:
Apple criticism, lack of innovation, AI announcements, stock price, Siri capabilities, natural language processing, Apple Intelligence features, reliance on OpenAI, integration with ChatGPT, ChatGPT Plus, Apple AI model, Siri improvements, on-screen awareness, personal context, privacy and data security, GPT 4 model, WWDC, Apple Intelligence, Meta's data privacy concerns, Microsoft recall feature, Elon Musk, semantic media, on-device AI, cloud computing, image model and generation, actions, password app, tiers of AI models, JAX and XLA, Genmoji.
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This week could mark a turning point in the world of AI. Here's why:
↪ Stay tuned for Apple's groundbreaking GenAI revelations at WWDC 2024.
↪ Discover why Elon Musk redirected NVIDIA chips from Tesla to xAI.
↪ Find out how NVIDIA just made a historic leap past Apple.
↪ And don't miss the details on the new AI video generator that could dethrone Sora
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 286: Apple’s AI – Too little, too late?
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Apple's upcoming AI developments
2. NVIDIA mnarket cap
3. New AI text-to-video tool
4. Elon Musk reallocating NVIDIA AI chips
5. Cisco's $1 billion investment into AI
6. U.S. Antitrust Big Tech Investigation
Timestamps:
02:00 Elon Musk reallocates NVIDIA chips for supercomputer.
06:03 NVIDIA's market cap surged, stock split explained.
07:30 Nvidia's strong financials and plans for AI chip.
12:04 OpenAI restricted access, improving, making it safer.
14:42 Unverified video likely from new AI competitor.
18:01 Detailed observation of changing seasons and AI.
21:15 Concern regarding societal impacts of advanced AI.
25:15 DOJ to lead NVIDIA inquiry, FTC scrutinizes Microsoft.
28:29 NVIDIA CEO ahead in recognizing generative AI.
33:42 Apple fluctuates between utilizing own or OpenAI model.
37:03 Newer iPhones may have advanced AI features.
38:03 Siri can now interact with multiple apps.
41:25 Apple's announcement at WWDC is big.
Keywords:
Apple AI features, OpenAI GPT-4 technology, WWDC, generative AI, older iPhone models, partnership, Elon Musk, NVIDIA chips, Tesla, market cap, Kuaishou AI developments, federal regulators, Microsoft OpenAI, AI monopolistic practices, Cisco AI investment, NVIDIA partnership, daily AI newsletter, Soarer, Gigafactory of Compute, NVIDIA stock split, Rubin AI chip platform, advanced AI models misuse, disinformation in AI, Jordan Wilson, Sora and Cling AI models, anthropic cloud, Jensen Huang, Anthropic, kling, Sora.
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Tired of valuable content collecting dust? Videos. Recordings of meetings. Interviews. Those are all sources of valuable knowledge and a spring of evergreen content. But what are you doing with it all? Jason Chicola, the CEO of Rev, dishes some answers.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jason questions on AI and content
Related Episodes: Ep 212: Your Voice + Your Context – How To Scale A Content Engine With AI
Ep 95: Creating an AI Content Strategy to Scale
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Large Language Models and Transcription Services
2. Optimization of Meetings and Communication with AI
3. Personalized AI and Work Efficiency
4. Future of AI Tools
Timestamps:
01:25 Daily AI news
04:05 About Jason and Rev
08:48 Open source audio transcription not effective, AI growth.
10:46 Technology replacing note-taking. Person-to-person connection important.
15:33 Using transcription to capture customer insights officially.
18:54 Rev to release Voicehub, a comprehensive conversation platform.
23:11 VoiceHub serves as a personalized AI tool.
25:41 Discussion on AI, jobs, upskilling, and reskilling.
28:09 Adapt to technology for higher-value work.
31:11 Quality meetings are crucial for human connection.
33:47 Experiment with AI tools to improve effectiveness.
Keywords:
Large language models, OpenAI, NVIDIA Canary, Whisper speech engine, automated transcription, speech-to-text technology, Rev transcription service, transcription industry growth, AI note-taking, AI summaries in meetings, improved productivity, investigation on AI industry, Humaine Pin, AI safety research, Jason Chicola, gig labor economy, automatic speech recognition, virtual meetings, Zoom fatigue, AI tools for productivity, customer insights, conversation summarization, storytelling via AI, VoiceHub platform, personalized AI, Evernote, technology and job evolution, balancing AI and personal interaction, quality over quantity in meetings, freelancing.
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Is there so much misinformation about AI that it's slowing the advancements in.... AI? How can we set the record straight on Artificial Intelligence, push fear-mongering aside, and ethically put it to use? David Moschella joins us to discuss and find out.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and David questions on AI
Related Episodes: Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Big Tech and AI misconceptions
2. AI products developments
3. America's leadership in AI
4. Job predictions and future of work
5. Significance of AI in daily life
Timestamps:
01:15 Daily AI news
04:20 About David and the Information Technology and Innovation Foundation
10:37 Technology doesn't eliminate jobs; AI won't either.
14:49 Insufficient information provided for summarization.
15:46 Comparison: Industrial vs. information revolution, vital needs.
18:59 Reliance on internet for work and backups.
23:35 AI impact on misinformation: Awareness, readiness, balance.
25:39 AI acceptance accelerates, reaching critical mass quickly.
31:06 Text critics miss key points about AI, technology.
Keywords:
AI news, Elon Musk, AI supercomputer, Memphis, Ashton Kutcher, OpenAI's SoRA, NVIDIA, Apple, market value, AI industry, misconceptions about AI, AI critics, societal challenges, AI benefits, AI development, generative AI, AI and jobs, AI and society, surveillance state, technological innovation, Everyday AI, free course, Chat GPT, PPP course, podpp.com, job predictions, job elimination due to AI, AI in physical tasks, road repair, automation, robotics, declining populations, generative AI, dependence on AI, AI deepfakes, misinformation, legal implications of AI.
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Clinical trials can sometimes take years and cost many of millions of dollars. Why is that? And how can AI help bring faster and better outcomes? Saurabh Jain, Executive Chairman at TrialKey.ai, joins us to discuss how we can harness AI for clinical trials.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Saurabh questions on AI in clinical trials
Related Episode: Ep 107: How AI Turns Clinical Trials into Medical Knowledge
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. State and Limitations of Traditional Clinical Trials
2. Role of Generative AI in Modern Drug Development
3. AI in Clinical Trials
4. Exploring ChatGPT in Clinical Trials
Timestamps:
01:30 Daily AI news
04:20 About Saurabh and TrialKey.ai
09:33 ChatGPT transforms unstructured data to structured.
10:43 Addressing hallucinations, incomplete datasets, and novel drugs.
15:16 Challenges in drug development and commercialization balancing.
18:30 Challenges of AI in research investment and focus.
24:15 Balancing AI and human ethics in medicine.
28:23 AI's potential in clinical trials, despite challenges.
Keywords:
Generative AI, clinical trials, advanced AI, drug discovery, Treatment Market, AI news, Elon Musk, NVIDIA GPU chips, Tesla, XAI, US Treasury, Janet Yellen, Saurabh Jain, Trial Key AI,Large language model, COVID-19, drug development, Jordan Wilson, AI simulations, drug market approval, FDA regulations, GPT technology, chat GPT, AI computer technology, pharmaceutical companies, machine learning, rare diseases, trial design, phase 3 trials, trial success prediction.
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Here's a lil secret. Apple's behind Microsoft. Like way behind. But, all reports are pointing to Apple announcing a HUGE partnership with OpenAI next week. Can OpenAI save Apple's AI future and help it compete with Microsoft? Or is it too little, too late?
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Apple's AI
Related Episode: Ep 285: NVIDIA announces new AI chip, a new Siri powered by ChatGPT – AI News That Matters
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Current State of AI in Apple
2. Apple's Approaching AI Announcement
3. Comparison of Apple with Its Competitors
4. Apple's Financial Situation and Market Position
Timestamps:
01:50 Daily AI news
05:40 Apple's upcoming WWDC event is highly anticipated.
11:01 User feels Apple devices are outdated, prefers AI.
17:22 Apple integrates natural language processing and device AI.
18:35 On-device and cloud AI combo, potential issues.
21:40 Apple's market dominance may be challenged soon.
27:28 Apple's cautious approach to AI implementation.
28:57 Microsoft's investment in OpenAI puts Apple at a disadvantage.
34:31 Reportedly, a cash-strapped company fails building AI.
36:04 Apple integrating ChatGPT in operating system.
Keywords:
Apple, AI integration, Siri, Safari, Photos, Notes, iMessage, on-device processing, cloud processing, smart recap tool, GPT-4.0, OpenAI, Microsoft, chat GPT, AI-powered apps, personal hardware space, Apple Vision Pro, Spotify, Project Gray Matter, generative AI, market share, WWDC, iOS 18, competitive position, financial performance, AI technology, innovation, operating system, desktop system, personal assistants.
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NVIDIA just announced a new AI chip. Are they SO far ahead that no one can catch them? Maybe. Because Microsoft, Meta, Google and others are teaming up against them. And there's even more OpenAI drama that you've gotta hear. Here's this week's AI News That Matters!
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. OpenAI and Apple Partnership
2. NVIDIA's new AI chip
3. Big Tech Forms UALink AI Chip Group
4. Eleven Labs text-to-sound AI
5. OpenAI Drama
Timestamps:
02:15 NVIDIA new AI chip
04:07 New Blackwell chip sees rapid successor unveiling.
10:28 AMD announces new AI chips for computing.
11:22 Eleven Labs releases new AI text-to-sound technology.
19:37 Apple engineers testing ChatGPT APIs with Siri.
21:14 Apple's partnership with OpenAI to enhance Siri.
27:19 OpenAI is ahead, Apple's smart choice, but marketing matters.
29:31 OpenAI board drama, firings, and re-hiring.
32:26 Apple's final partnership with OpenAI detailed.
Keywords:
OpenAI, Apple, GPT models, AI on device, Sam Altman, NVIDIA, AI chip, 11 Labs, text-to-speech, AI system training, AMD, Intel, chip interconnect technology, UALink Promoter Group, Siri, natural language processing, Microsoft, real-time translation, AI features, advanced chips, sound effects, content creators, game developers, film/TV studios, sound production industry, multitasking AI technology, Macs, iPhones, Ruben architecture, Verra processor
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When we talk about AI, it's always about efficiency, more tasks, more growth. But when it comes to the legal system, can AI help law firms with impact and not just efficiency? Evyatar Ben Artzi, CEO and Co-Founder of Darrow, joins us to discuss how AI can enhance the legal landscape.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Evyatar questions on AI in the justice system
Related Episode: Ep 140: How AI Will Transform The Business of Law
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Use of generative AI in the legal system
2. Use of LLMs in the legal system
3. AI's impact on efficiency in the legal industry
Timestamps:
01:20 Daily AI news
04:35 About Evyatar and Darrow
06:16 Challenges accessing information for lawyers
09:27 AI efficiency movement is responsible for workload.
10:24 AI revolutionizing legal world for success.
16:51 Efficiency affects law firm's ability to bill.
21:30 Improving mental health in legal profession with agility.
26:55 Loss of online communities raises concerns about memory.
27:58 Law firms pursuing right to be remembered.
Keywords:
Generative AI, Legal System, Impact, Efficiency, AI News, Perplexity AI, Ultra Accelerator Link, NVIDIA, Apple, OpenAI, Siri, GPT Technology, Evyatar Ben Artzi, Darrow, Justice Intelligence Platform, Case Analysis, Herbicides, Pesticides, Cancer Rates, Large Language Models, ChatGPT, Right to be Remembered, Internet Deletion Practices, Fortune 500 Companies, Legal Industry, Billable Hours, Strategic Thinking, Legal Development, Mental Health, Multiverse in Law.
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Businesses are working out how to use GenAI in the best way. One company that's acing it? World Wide Technology. WWT's CEO, Jim Kavanaugh, is sharing their plan for implementing GenAI into business smoothly.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jim questions on GenAI
Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Impact of Generative AI
2. Role of GenAI in World Wide Technology
3. AI Adoption for Business Leaders
4. Large Language Models and AI Impact
5. Challenges in the Generative AI Space
6. Organization Culture and AI Implementation
Timestamps:
01:30 About WWT and Jim Kavanaugh
06:59 Connecting with users for effective AI.
10:06 Advantage of working with NVIDIA for digital transformation.
13:10 Discussing techniques and client example.
18:35 CEOs implementing AI, seeking solutions.
20:46 Creating awareness, training, and leveraging technology efficiently.
25:27 AI increasingly important, impacts all industries' outcomes.
27:18 Use secure, personalized language models for efficiency.
32:32 Streamlining data access for engineers and sales.
35:42 CEOs need to prioritize technology and innovation.
37:02 NVIDIA is the game-changing leader.
Keywords:
generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process
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If you think you know scammers, just wait.
↳ Voice cloning will fool the best of us.
↳ Deepfakes are getting sophisticated.
↳ Once-scammy emails now sound real.
How can AI help? In a lot of ways. Yuri Dvoinos, Chief Innovation Officer at Aura, joins us to discuss AI's role in scam detection and prevention.
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More on this Episode: Episode page
Join the discussion: Ask Jordan and Yuri questions on AI and scam detection
Related Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged Sword
Ep 202: The Holy Grail of AI Mass Adoption – Governance
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Sophistication of AI in Scams
2. Countermeasures to Combat AI Scams
3. Deepfakes and Their Increasing Prevalence
Timestamps:
01:20 Daily AI news
04:45 About Yuri and Aura
07:32 Growing impact of impersonation and trust hacking.
12:35 Consumer app with state-of-the-art protection.
13:48 New technology scans emails to protect users.
19:36 Need for awareness of sophisticated multi-platform scams.
20:33 Be cautious of potential multichannel scams
26:44 Scams are getting sophisticated, AI may worsen.
30:05 Different organizations need varying levels of security.
31:25 Deepfakes raise concerns about truth and trust.
34:47 It's hard to detect scam communication online.
Keywords:
AI Scams, Jordan Wilson, Yuri Dvoinos, Deepfakes, AI Technology, Verification System, Online Interactions, Cyberattacks, Business Security, Scam Detection, Communication Channel Verification, Language Models, AI impersonation, Small Business Scams, Scammer Automation, Aura, Message Protection Technology, Call Analysis, Email Scanning, Voice Synthesizer Technology, Multichannel Scams, 2FA, Cybersecurity Training, Digital Trust, Cybersecurity, Sophisticated Corporate Scams, OpenAI, NVIDIA, Aura Cybersecurity Company, Online Safety.
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Will AI make jobs... optional? Elon Musk seems to think so. His comments struck a chord with some. And rightfully so. As polarizing as Elon Musk can be, does he have a point? Let's break it down.
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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI and jobs
Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Elon Musk's statement and its implications
2. Future of work with AI advancements
3. AI's impact on human purpose and employment
4. Job displacement and AI investment over human employment
Timestamps:
01:40 Daily AI news
07:47 Exploring the implications of generative AI.
10:45 Concerns about AI impact on future jobs
13:20 Elon Musk's track record: genius or random?
17:57 Twitter's value drops 72% to $12.5B.
22:34 Elon Musk predicts 80% chance of job automation.
25:54 AI advancements may require universal basic income.
29:03 AI systems rapidly advancing, surpassing previous capabilities.
32:11 Bill Gates worries about AGI's misuse.
35:04 AI advancements foreshadowing future efficiency and capabilities.
39:42 Ultra-wealthy and disconnected elite shaping AI future.
43:32 AI will dominate future work, requiring adaptation.
46:19 US government may not understand future of work.
Keywords:
Elon Musk, AI, XAI, funding, chatbot, Grok, OpenAI, legal battle, Apple, Siri, integration, core apps, model, capabilities, safety, speculation, future, work, Tesla, market cap, value, investor sentiment, vision, promises, performance, Viva Tech, conference, robots, job market, society, purpose.
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Everyone is trying to wrap their heads around how to get GenAI into their business. We've had chats with over 120 experts and leaders from around the globe, including big companies, startups, and entrepreneurs. We're here to give you the lowdown on how you can start using GenAI in your business today.
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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Related Episodes:Ep 189: The One Biggest ROI of GenAI
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI in Business
2. Implementing AI
3. AI Guidelines and Guardrails
4. Practical Application of AI
Timestamps:
02:00 Daily AI news
06:20 Experienced in growing companies of all sizes
11:45 AI not fully implemented yet
19:13 Generative AI changing workforce dynamics, impact discussion.
21:32 Rapidly adapt to online business, seek guidance.
31:19 AI guardrails and guidelines
34:25 Companies overcomplicating generative AI, driven by peer pressure.
37:45 Focus on measurable impact in AI projects.
45:17 Leverage vendors and experts for AI education.
51:48 AI may replace jobs - plan for future.
54:48 Ethical AI implementation involves human and AI cooperation.
01:00:42 Culmination of extensive work to simplify generative AI.
Keywords:
AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, AI statistics, Transparency in AI, Bottom-up approach, AI impact on work, Everyday AI Show
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Did Google say 'AI' too many times at their I/O conference? But real talk – it's hard to make sense of all of Google's announcements. With so many new products, updated functionality, and new LLM capabilities, how can you make sense of it all? Oh.... that's what we're for.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Google AI
Related Episode: Ep 204: Google Gemini Advanced – 7 things you need to know
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Google's Updates and Announcements
2. Google AI Evaluations
3. Concerns Over Google's AI Development and Marketing
Timestamps:
01:30 Daily AI news
05:30 What was announced at Google's I/O
09:31 Microsoft and Google introduce AI for teams.
12:38 AI features not available for paid accounts.
16:12 Doubt Google's claims about their Gemini model.
19:26 Speaker live-drew with Pixel phone, discussed code.
22:24 Exciting city scene, impressive Vio and Astra.
24:44 Gems and GPTs changing interactions with language models.
29:26 Accessing advanced features requires technical know-how.
33:45 Concerns about availability and timing of Google's features.
36:14 Google CEO makes joke about overusing buzzwords.
41:06 Google Gems: A needed improvement for Google Gemini.
41:50 GPT 4 ranks 4th behind Windows Copilot.
Keywords:
Google IO conference, AI updates, NVIDIA revenue growth, Meta acquisition, Adapt AI startup, OpenAI deal, News Corp, Project Astra, Gemini AI agent, Gemini 1.5 pro, Ask photos powered by Gemini, Gemini Nano, Android 15, GEMS, Google AI teammate, Microsoft team copilot, Google Workspace, Google search, Veo, Imagine 3, Lyria, Google's AI music generator, Wyclef Jean, Large language models, GPT 4.0, Google Gemini, AI marketing tactics, Deceptive marketing, Discoverability issues, Branding issues.
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To end a week-ish full of AI happenings, Microsoft has thrown all kinds of monkey wrenches into the GenAI race. What did they announce at their Microsoft Build conference? And how might it impact you? Our last takeaway may surprise you.
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Join the discussion: Ask Jordan questions on Microsoft AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Microsoft Build Conference Key AI Features
2. Microsoft Copilot Updates
3. On-device AI and its future
Timestamps:
01:50 Startup Humane seeks sale amid product criticism.
09:00 Using Copilot increases latency and potential errors.
11:15 Copilot changing work with edge AI technology.
13:51 Cloud may be more secure than personal devices.
19:26 Recall technology may change required worker skills.
20:24 Semantic search understands context, improving productivity.
28:41 Impressive integration of GPT-4 in Copilot demo.
31:41 New Copilot technology changes how we work.
36:13 Customize and deploy AI agent to automate tasks.
38:08 Uncertainty ahead for enterprise companies, especially Apple.
46:09 Recap of 5 key announcements from build conference.
Keywords:
Microsoft CEO, Satya Nadella, Copilot stack, personal Copilot, team's Copilot, Copilot agents, Copilot Studio, Apple ecosystem, enterprise companies, Microsoft Teams, OpenAI, Jordan Wilson, Microsoft Build Conference, edge AI, Copilot Plus PC, recall feature, gpt4o capabilities, iPhone users, AI technology, data privacy and security, GPT 4 o desktop app, AI systems, recall, mainstream AI agents, Humane AI, Scarlett Johansson, ChatGPT, Anthropic Claude, COPilot Studio Agent, Microsoft product.
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Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.
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More on this Episode: Episode page
Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits
Related Episodes:
Ep 105: AI in Fundraising – Building Trust with Stakeholders
Ep 148: Safer AI – Why we all need ethical AI tools we can trust
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:50 About Nathan and DonorSearch AI
05:52 Decreased charity giving, AI aids nonprofit efficiency.
09:39 AI enhances nonprofit efficiency, prioritizes human connections.
13:35 Nonprofits need to embrace AI for advancement.
16:22 Use AI to create engagement stories, scalable.
18:59 Internet equalized access to computing power.
25:02 Nonprofits rely on trust, need responsible AI.
29:52 Ensuring trust and accountability in generative AI.
33:35 AI is about people leveling up work.
34:16 Daily exposure to new tech terms essential.
Topics Covered in This Episode:
1. Impact of Generative AI for Nonprofits
2. Digital Divide in Nonprofit Sector
3. Role of Trust in Nonprofits and responsible AI usage
4. Traditional Fundraising vs. generative AI
5. Future of AI in Nonprofits
Keywords:
Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.
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OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft? Here's this week's AI News That Matters!
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Key Partnerships and Deals in AI
2. Google's New AI Developments
3. Microsoft's Upcoming Developer Conference
4. Apple's Future AI Implementation
Timestamps:
02:00 Reddit partners with OpenAI for AI training, content.
04:28 Large companies lack transparency in model training.
06:58 Reddit becoming preferred search over Google, value in partnerships.
12:08 OpenAI announced GPT 4 o and new feature.
14:48 Google announced live smart assistance, leveraging AI.
18:19 Customize data/files, tap into APIs, virtual teammate.
21:06 Impressed by Google's new products and features.
26:33 Apple to use OpenAI for generative AI.
29:08 Speculation around AI safety, resignation raises questions.
32:22 Concerns about OpenAI employees leaving is significant.
34:20 Google and Microsoft announce AI developments, drama at OpenAI.
Keywords:
Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.
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If you're not gonna use AI, your competition is. And they might crush you. Or, they might ChatGPT you. Barak Turovsky, VP of AI at Cisco, gives us the best ways to think about Generative AI and how to implement it.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Barak questions on ChatGPT
Related Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Large Language Models (LLMs) and Business Competitiveness
2. Understanding LLMs for Small to Medium-Sized Businesses
3. Use Cases and Misconceptions of AI
4. Data Security and Privacy
Timestamps:
01:35 About Barak and Cisco
05:44 AI innovation concentrated in big tech companies.
07:14 Large language models can revolutionize customer interactions.
12:01 ChatGPT fluency doesn't guarantee accurate information.
13:41 Considering use cases over two dimensions
18:16 OLM is good fit for specific industries.
21:17 Emphasizing the importance of large language models.
23:20 Maintaining control over unique AI model elements.
28:50 Questioning the data use in large models.
31:27 Barak discusses leveraging AI for various use cases.
33:50 Industry leader shared great insights on AI.
Keywords:
AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.
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Why you need to listen to today's episode about GPT-4O 👇
↳ Everyone's talking about GPT-4o but no one's actually investigating it.
↳ No, not everything is free.
↳ Yes, OpenAI is still not telling the truth about some stuff.
↳ Yes, we did all the homework for you so you just gotta show up and learn
7 things you need to know about GPT-4o and what OpenAI isn’t telling the truth about
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions about GPT-4O on LinkedIn
Related Episodes: OpenAI Releases GPT-4o: 12 things you need to know
Ep 272: How OpenAI’s Shot at Google (and GPT-4o model) Will Change How We All Work
Topics Covered in This Episode:
1. Changes in OpenAI's language models
2. Interaction with ChatGPT and Browse with Bing
3. Detailed analysis of OpenAI's GPT-4.0 model
4. Announcement and analysis of OpenAI's GPT 4 o
5. Potential developments for ChatGPT Plus
6. Discussion of AI influencers and misinformation on the internet
7. Close-up on specific features of GPT 4.0 and device restrictions
Timestamps:
00:00 OpenAI releases GPT-4 o, lots of mystery.
06:41 Google's announcement felt scripted, OpenAI's felt real.
09:55 Live omnivision assistant can see, understand, talk.
11:10 ChatGPT desktop agent not available for free.
15:04 "Highly advanced capabilities of DALL E showcased."
19:36 Chatbot arena allows blind model testing, benchmarking.
22:52 GPTplus chat paid version getting update.
23:28 Expect updates in weeks, bugs must be fixed.
27:45 UI UX changes and new drop-down feature.
31:52 Using large language models requires understanding context.
35:12 OpenAI misunderstanding about model size and usage.
38:33 Negative experience with sporadic Browse with Bing.
39:25 GPT 4 to query internet using Bing.
45:21 OpenAI sees potential in language model upgrade.
47:36 GPT-4 recap: features, models, UI updates.
49:28 Connect with experts in generative AI space.
Keywords:
OpenAI, GPT 4, knowledge cutoff, UI/UX update, ChatGPT, context window size, Jordan Wilson, Browse with Bing, large language models, targeted Browse with Bing calls, Internet-connected GPTs, free and paid versions, transcript excerpt, 3D files, advanced data analysis, GPT-4.0 model, chatbot arena, foundation models, chat GPT model, model's memory, AI news, AI robot Sophia, stability AI, US-China tensions in AI technology, prime prompt polished course, AI influencers, misinformation, AI assistant, DALL E, desktop assistant.
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Product management can be tough. Deadlines. Last-minute changes in the GTM strategy. Your new best friend? Generative AI. Kimberly Williams, Senior Product Manager at Microsoft, joins us to discuss how GenAI can help you navigate the challenges of product management with ease.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Kimberly questions on AI and product management
Related Episodes: Ep 161: Product Strategy in the Age of AI
Ep 104: Product Management and AI – Insights from a Microsoft Product Manager
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Role of AI in Product Management
2. Use of AI in Communication and Influence
3. AI and Customer Feedback in Product Management
4. Future of Product Management
Timestamps:
01:25 Daily AI news
04:45 About Kimberly and her role at Microsoft
08:54 AI can aid in crafting efficient communications.
11:21 Meeting AI automates note-taking and saves time.
15:05 Use Copilot for short, improved email drafts.
18:15 AI helps analyze customer feedback, identify patterns.
22:08 OpenAI partnership developing Copilot using customer feedback.
24:32 Discussion on emerging AI technology impact and concerns.
30:11 Chat GPT offers accessible AI for all.
32:29 Rising divide in AI use, tools for productivity.
35:12 AI will be part of everyone's job.
37:09 Replace Internet with generative AI for insight.
40:14 AI offers creative opportunities for non-AI companies.
Keywords:
Kimberly Williams, Microsoft, AI in communication, managing through influence, GPT type AI, Copilot, email crafting, AI in meetings, transcribing meetings, Jordan Wilson, free prime prompt polish chat GPT course, improve email communication, AI prompts, use cases of AI, product management, Everyday AI show, AI news, Google IO developer conference, OpenAI, Ilya Sutskever, democratizing technology, generative AI, AI in product management, customer feedback in product management, interpreting customer feedback, AI in building product roadmaps, advanced AI models, educating customers about AI, triple p method, Microsoft Copilot.
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GPT-4o looks cool. No doubt. But, here's what you probably aren't thinking about.
↳ It was definitely a shot at Google
↳ It will likely change the way the most efficient organizations work forever
↳ It is actually just a super powerful Trojan Horse
What's all that mean? We break down GPT-4o and what it means for us all.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on GPT-4o
Related Episodes: OpenAI Releases GPT-4o: 12 things you need to know
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Future impacts of GPT-4o
2. OpenAI, Microsoft and Apple Collaboration
3. Live demonstrations of GPT-4o
4. OpenAI's strategic releases
5. New Features and Plans for GPT-4o
Timestamps:
01:45 Daily AI news
06:12 Generative AI update widens efficiency gap.
10:04 GPT-4o combines transcription, intelligence, and text to speech.
10:49 New GPT-4o assistant sees, hears, reduced cost.
15:18 Eminem-inspired reverse reveal and criticism by OpenAI.
17:41 Exclusive GPT-4o features will differentiate tiers.
21:45 Google's Gemini rollout led to widespread mistrust.
25:02 Large language models improve with usage statistics.
27:32 Prediction of future technology transforming work processes.
33:00 Teenager learning on iPad with real-time assistance.
34:52 Discussing potential AGI, questioning if it's present.
38:39 Latency reduced with new unified GPT-4 model.
Keywords:
Jordan Wilson, artificial general intelligence, AGI, OpenAI, Microsoft, Apple, GPT-4o Omni model, generative AI tools, live giveaway, YouTube comments, future of work, impact of technology, desktop app, AI assistant, coding, iPad app, access to education, GPT-4 model, US-China Geneva meeting, Klarna, Google IO developer conference, rock paper scissors demo, deceptive marketing strategy, training data, technology development, Microsoft's Copilot, GPT-4o, API cost, voice communication, Google's Gemini model
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Just when we thought the AI world couldn't get more exciting, OpenAI has dropped its new GPT-4o model! We're breaking down what this model is and 12 things that you need to know about OpenAI's first omnimodel, GPT-4o.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on GPT-4o
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. OpenAI announces GPT-4o model
2. Key Features of GPT-4o
3. GPT-4o Rollout Plan
4. What GPT-4o means for Google
Timestamps:
01:50 New GPT-4o model is Omni modal
03:52 GPT-4 paid users get 5x capacity.
10:09 ChatGPT desktop app for easy AI-assisted workflow.
14:11 Google's marketing video not entirely truthful.
16:25 Mistrust in AI marketing created by Google.
18:40 OpenAI's rollout plan
21:47 GPT-4 combines transcription, intelligence, text-to-speech.
Keywords:
OpenAI, GPT 4 o, Everyday AI, model, Jordan Wilson, account, access, upgrade, livestream podcast, free daily newsletter, AI news, observations, hot takes tuesday, Omni model, free and paid users, paid account, capacity limit, GPT store, transcription intelligence, text to speech, desktop assistant, API, reduced cost, live view mode, voice to voice communication, human feel, Google Gemini model, marketing stunt, rollout, IO developer conference.
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Will OpenAI's big announcement Monday actually be 'magic'? ElevenLabs dropped an AI music demo you've gotta really hear to believe. Google's CEO says AI search in the future won't include links. Here's this week's AI News That Matters.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Watch the OpenAI livestream here: https://www.youtube.com/watch?v=DQacCB9tDaw
Related Episodes:
Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?
Ep 207: AI Will Allow Us All to Make Music We Enjoy
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI advancement in music creation
2. Predictions from Eric Schmidt, the former CEO of Google
3. Google's evolution towards user-friendly search approach
4. Apple's negotiations with OpenAI
5. OpenAI's upcoming release and speculations
Timestamps:
02:00 Apple plans AI integration at upcoming WWDC.
04:04 Apple likely partnering with OpenAI for AI.
09:09 Back-to-back tech talks and big announcements.
13:11 Update: GPT-4 no longer most advanced.
15:56 New features include temporary chat and indexing.
18:29 OpenAI CEO plans improved virtual assistant for Siri.
20:52 Transition to smaller, higher quality models predicted.
26:50 AI creating personalized music playlists with text prompt.
29:07 Eric Schmidt emphasizes the importance of AI.
Keywords:
Jordan Wilson, AI playlists, listening habits, text prompts, AI-generated songs, independent artists, AI technology in music creation, Eric Schmidt, AI-driven search, direct answers, Google, Apple, OpenAI, chat GPT, iPhone, 11 Labs Music, Everyday AI show, iOS 18 operating system, Worldwide Developers Conference, WWDC, Gemini via Google, generative AI models, voice assistants, Her movie, GPT-2, text-to-music model, AI music generation, music streaming platforms, GPT 5, GPT 4.
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If you think content writing is the only way to use AI for SEO, think again. That's just the beginning. AI is changing SEO as we know it. We have SEO expert Steve Toth give us the scoop on how to *actually* leverage AI for SEO that's more than just vanilla blog posts.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Steve questions on AI and SEO
Related Episodes:
Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?
Ep 137: Writers and Content Creators’ Future Role in a World of AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Utilizing AI for SEO beyond content writing
2. Human-written content with AI enhancements for SEO
3. Role of Google in content quality control
4. Pros and cons of AI content
5. Practical applications of AI in content creation
Timestamps:
01:20 Daily AI news
04:14 About Steve and SEO Notebook
05:45 Ways to leverage AI for SEO
08:14 Hybrid AI content okay, mass AI content dangerous.
11:58 Links from authoritative sites boost website credibility.
15:30 Human input essential in Google's data analysis.
19:16 Predicting SEO's future, Google controls web traffic.
21:57 AI prefers comprehensive, well-researched content with links.
26:35 Tips on improving call to action with AI.
28:48 Use AI to enhance and polish your content.
Keywords:
SEO, Steve Toth, AI tools for SEO, open API, Python, Google.com, keyword research, auto suggest results, related searches, People Also Ask, call to action, AI content enhancement, topics for comprehensive guide, Jordan Wilson, free daily newsletter, everydayai.com, prime prompt polish chat GPT course, podpp.com, unpredictability of SEO, Google's control over web traffic, AI-generated content, B2B SaaS content, Google's SGE, OpenAI partnership deals, Reddit, Stack Overflow, organic web traffic, SERPs, SEO Notebook, FreshBooks
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AI + all your data = good move or bad move? Sure, AI can do data crunching wonders when we pair the two together. But, what challenges and conflicts should we be aware of before doing so? Aakash Indurkhya, Head of Product at Virtualitics, joins us to discuss AI and data analysis.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Aakash questions on AI and data
Related Episodes:
Ep 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our world
Ep 142: AI is Changing Data Analysis: Insider Tips
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Generative AI Technology and Data Visualization
2. Role of AI in Data Analysis
3. Statistics Paradox and Data Collection Challenges
4. Importance of Hands-On Experience and Collaboration
Timestamps:
01:30 Daily AI news
04:30 About Aakash and Virtualitics
08:51 Stress of data utilization despite its value.
10:39 Data layers may disagree, causing decision paralysis.
15:33 Generative AI aids human-driven data analytics.
17:38 RAG concept crucial for tracing data decisions.
24:06 Beginning data analysis requires tools, exploration, openness.
26:43 Future of jobs with technology, data and humans.
29:21 Communicate with experts for effective problem-solving.
Keywords:
data in the age of generative AI, large language models, OpenAI model spec, Google DeepMind AlphaFold 3, protein behavior prediction, Zapier Central, AI bots without coding, Virtualisix, data-driven decisions, industry-specific decision intelligence, data abundance paradox, ChatGPT technology, changes in data collection, Apple, Google, maintenance data for HVAC systems, human role in data analysis, industry-specific expertise, generative AI in data visualization, RAG technology, conversational interfaces in generative AI, sensitive data handling, GPT language models, Virtualitix AI platform, decision intelligence apps, data-driven decision paradox, decision congestion, common language in data analysis, data quality, decision socialization.
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Will GenAI be an economic boom? Or cause economic doom? Or maybe something in between? Gad Levanon, Chief Economist at The Burning Glass Institute, joins us to discuss generative AI's impact on the U.S. labor market.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Gad questions on GenAI and the U.S. labor market
Related Episodes:
Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI's current impact on jobs
2. Generative AI and higher education
3. Skills demand related to generative AI
4. Future for workers and generative AI
5. Generative AI and retirement
Timestamps:
01:30 Daily AI news
04:15 About Gad and The Burning Glass Institute
08:09 Automation and technology impacting labor market trends.
12:13 Generative AI impact on job ads analyzed.
17:27 Employers need specific AI skills for reskilling.
21:28 Concern around AI skills and education needs.
25:06 Generative AI benefits seen in future stock market.
29:37 Generative AI skills essential for future success.
Keywords:
Generative AI, Gad Levanon, AI engines, chatbot infrastructure, computing power, cybersecurity, cloud computing, outsourcing, US colleges, universities, higher education, short-term credentials, computer-related fields, economic shock, stock market, US economy, baby boomers, retirement, layoffs, reskilling, future job market, knowledge worker, US workers, US companies, Blue collar jobs, white collar jobs, online job ads, tech companies, AI automation, Apple, Microsoft, Burning Glass Institute, worker productivity, workforce reduction, new jobs, technological shifts.
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In today's episode, we're diving into the 7 most common mistakes people make while using large language models like ChatGPT.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 260: A new SORA competitor, NVIDIA’s $700M acquisition – AI News That Matters
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Understanding the Evolution of Large Language Models
2. Connectivity: A Major Player in Model Accuracy
3. The Generative Nature of Large Language Models
4. Perfecting the Art of Prompt Engineering
5. The Seven Roadblocks in the Effective Use of Large Language Models
6. Authenticity Assurance in Large Language Model Usage
7. The Future of Large Language Models
Timestamps:
00:00 ChatGPT.com now the focal point for OpenAI.
04:58 Microsoft developing large in-house AI model.
09:07 Models trained with fresh, quality data crucial.
10:30 Daily use of large language models poses risks.
14:59 Free chat GPT has outdated knowledge cutoff.
18:20 Microsoft is the largest by market cap.
21:52 Ensure thorough investigation; models have context limitations.
26:01 Spread, repeat, and earn with simple actions.
29:21 Tokenization, models use context, generative large language models.
33:07 More input means better output, mathematically proven.
36:13 Large language models are essential for business survival.
38:53 Future work: leverage language models, prompt constantly.
40:47 Please rate, share, check out youreverydayai.com.
Keywords:
Large language models, training data, outdated information, knowledge cutoffs, OpenAI's GPT 4, Anthropics Claude Opus, Google's Gemini, free version of Chat GPT, Internet connectivity, generative AI, varying responses, Jordan Wilson, prompt engineering, copy and paste prompts, zero shot prompting, few shot prompting, Microsoft Copilot, Apple's AI chips, OpenAI's search engine, GPT-2 chatbot model, Microsoft's MAI 1, common mistakes with large language models, offline vs online GPT, Google Gemini's outdated information
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Is OpenAI launching a search engine this week?
The original worry about Google that lead to the Microsoft-OpenAI partnership.
Major U.S. newspapers suing Microsoft and Google.
... And a lot more. This is the AI news that matters for the week of May 6, 2024.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 260: A new SORA competitor, NVIDIA’s $700M acquisition – AI News That Matters
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics covered in this episode:
Timestamps:
00:00 OpenAI may announce game-changing chat-integrated search engine.
05:42 OpenAI aims to revolutionize search process.
10:35 Importance of smaller, powerful models for services.
13:01 US newspapers sue OpenAI, Microsoft over copyrighted content
14:40 Large language models scrape Internet data for training, including copyrighted material, raising fair use debate.
17:42 Potential lawsuit between New York Times and OpenAI.
23:08 Microsoft's investment in AI yields significant growth.
26:05 NVIDIA leading in specialized, powerful GPU chips.
29:57 Warren Buffett admits lack of understanding in AI.
33:56 AI's ability to discover new drugs discussed.
36:14 AI news: OpenAI, ChatJPG, EU investigation, $285M allocation.
Topics Covered in This Episode:
1. Investments in Generative AI and Digital Twin Technology
2. The Impact and Potential Threats of AI
3. OpenAI, ChatGPT, and the Upcoming Search Engine
4. Legal Issues Surrounding OpenAI and Microsoft
5. The Evolving Semiconductor Landscape
Keywords:
Jordan Wilson, generative AI, enterprise companies, digital twins, infrastructure improvements, Biden administration, investment, Warren Buffett, AI threats, deep fakes, Eli Lilly, novel drug candidates, OpenAI, ChatGPT, search engine, European Union, Microsoft, semiconductor, Berkshire Hathaway conference, discovering new medicines, Everyday AI podcast, GPT 2 chatbot model, copyright infringement, New York Times, out of court settlement, New York Post, Chicago Tribune, Google's AI dom
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The much-hyped Humane Ai pin? Dragged through the mud.
The Rabbit R1 AI assistant? Accused of being a box running Android.
Are these devices just too early? Or, do we really not need (or want) AI-powered devices following us everywhere? We'll weigh in with what you need to know.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI-powered devices
Related Episodes:
Ep 201: Apple Vision Pro – The AI-powered product that (hardly) no one needs
EP 184: On-Device AI: What it is and do we need it? What no one’s talking about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:50 Daily AI News
06:47 Discussion on need for wearable devices.
08:51 AI devices offer vision and conversation capabilities.
11:21 Wearables can record, take pictures, and assist.
16:48 Ray Bans can have a camera feature.
19:05 Negative reception for major AI gadget launch.
22:37 Using big company's technology to create startups.
24:09 Early AI SaaS companies mimic Apple's marketing.
28:54 Apple designer and generative AI join forces.
30:33 Big tech companies innovate devices, focus on optimization.
34:55 Encourage sharing and community building in AI.
Topics Covered in This Episode:
1. Evaluation of specific AI wearables
2. Concerns and skepticism about AI devices
3. Impact of big tech companies on AI devices
4. Debate about the functionality of AI devices
Keywords:
AI startups, Generative AI, GPU, Large Language Models, Meta, Google, Microsoft, Nvidia, VC, Private equity, AI wearables, Jordan Wilson, Johnny Ivy, Sam Altman, AI Hardware Company, Apple, Samsung, AI-powered devices, AI Pin, Rabbit r one, Ray Ban Meta Glasses, Limitless Pendant, OpenAI's GPT-4 API, Second Brains, Smartphone Integration, Clear lenses Ray-Ban, Humane AI Pin, AI Gadgets, AI Product Reviews, Index GPT
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There's so much uncertainty with AI and what's coming next. How will LLMs and other forms of AI impact our business? What can we do to prepare? Luv Tulsidas, Founder and CEO of Techolution, joins us to discuss how you can secure your business future with AI.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Luv questions on AI
Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:30 Daily AI news
04:40 About Luv and Techolution
07:00 Shifting business focus to AI
10:49 Businesses seeking clarity on implementing generative AI.
14:35 Companies seek AI for personalized, brand-aligned conversation.
19:00 AI creates disruption, new jobs will emerge.
21:53 AI limited by internet knowledge, lacks human abilities.
25:15 Protecting proprietary AI, monetizing content, avoiding lawsuits.
27:34 Start with successful companies' AI transformation.
32:33 Ethical views vary in different economic systems.
36:00 AI impact on future: Innovation, adapt, bright.
38:44 AI should be done the right way.
Topics Covered in This Episode:
1. Pressure to Adopt AI in Businesses
2. Coping with Uncertain AI Environments
3. AI's Ethical Implications and Perspective on Job Protections
4. Balance and Ethical Consequences of AI Deployment
5. Future Shifts in Job Roles
Keywords:
AI in business, tech boom, practical AI solutions, FOMO in AI, large neural network models, domain-specific training, AI apprenticing, job protection, economic systems, Universal Basic Income, job layoffs, pursuing passions through AI, proprietary AI, Google and AI, data compensation, ethical AI, AI ROI, AI-generated business processes, AI and job losses, securing business future with AI, ad-funded AI chatbots, US government and AI, OpenAI's plans, artificial general intelligence, human jobs and AI, disruption of jobs by AI, problem-solving with AI, data quality in AI, AI and video content, large language models.
Learn how work is changing on WorkLab, available wherever you get your podcasts.
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Chances are, AI is already selling to you. And in the end, we're all in sales. (One way or another.) Find out from a seasoned sales pro how you can spend less time working and actually sell more. Might not add up, but it does when you know these AI sales secrets. Featuring Ryan Staley, CEO and Founder of Whale Boss.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Ryan questions on AI and sales
Related Episodes:
Ep 243: 5 Simple Ways To Use Generative AI Every Day
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:50 Daily AI news
05:40 About Ryan and Whale Boss
07:43 Integrating AI in sales.
10:55 White collar work use tools, delegate to AI.
15:03 Generative AI saves time in sales processes.
18:30 AI integrates into sales, automating processes with oversight.
22:17 Built management system, tech stack, job description.
24:45 Strategies for content creation using Cast Magic.
29:22 Rapidly expanding tech tools; future sales changing?
33:06 Track and develop skills for transformation.
Topics Covered in This Episode:
1. Power and Potential of AI in Sales
2. AI Tools Used and Recommended
3. AI Skills Transformation
Keywords:
AI in sales, sales AI integration, AI training, AI-assimilation, AI-innovation, generative AI, micro tasks, large language models, sales call transcripts, AI sales preparation, knowledge workers, AI research tools, AI content creation, ChatGPT, Copilot, Cast Magic, Text Blaze, AI skill transformation, autonomous agents, AI-powered sales agents, human connection in sales, Jordan Wilson, Amazon AI assistant, GPT 2 chatbot, AI in non-selling activities, AI workflows, personalizing messaging, AI sales enablement tools, AI in sales strategy.
Learn how work is changing on WorkLab, available wherever you get your podcasts.
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Is the next version of ChatGPT already out? Many people are saying the just-released gpt2-chatbot is either ChatGPT 4.5 or ChatGPT 5 in the wild. So.... is it? We'll tell you what you need to know, break down the rumors and cut through the fluff.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episode:
Ep 248: Free ChatGPT vs. ChatGPT Plus – What’s the difference?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:55 Daily AI news
07:31 LMSYS chatbot arena hosts large language models.
13:32 Sam Altman confirms GPT-2 model existence
17:16 Large language models require significant energy and funding.
20:54 Newer November version of GPT-3 confirmed.
23:51 Possible glimpse of future technology, notable improvements.
25:43 Large language models evolving to act as agents.
29:43 Text is currently only text-based, may change.
33:34 Recognizes OpenAI chatbot with GPT technology.
Topics Covered in This Episode:
1. GPT2- Chatbot functionality and limitations
2. Origin of the GPT2-Chatbot
3. Speculation around ChatGPT and GPT2- Chatbot
4. Forecasts for Future AI Models
Keywords:
Chatbot leaderboard, Elo scores, GPT 2 chatbot, limitations of GPT 2 chatbot, origin and ownership of GPT 2, generative AI models, future of AI usage, AI giveaway, AI newsletter, chatbot rankings, GPT 4 Turbo, Claude 3 Opus, Gemini from Google 1.5, large language models, Microsoft, Google, OpenAI, Meta, multimodal chatbot, parameters size of new model, Jordan Wilson, Med Gemini, Apple AI team, AI-generated disc track, live stream audience, chatbot arena website, energy consumption by large models, environmental concerns, problem-solving abilities of new model
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Is there a legit Sora competitor now? What does NVIDIA's $700 million acquisition mean for the GenAI world? Is Apple ditching Google and teaming up with OpenAI for future AI-powered iPhones? We'll answer those questions today and more with this week's AI News that Matters!
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Ep 240: Latest Apple AI rumors, $100-billion Stargate partnership between Microsoft and OpenAI – AI News That Matters
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
03:17 AI video competitor for Sora
05:05 Discussion on OpenAI's Sora model and implications.
08:15 NVIDIA acquires Run:ai
10:55 Apple in talks with OpenAI
14:50 US government forms AI safety advisory panel.
20:12 Adobe incorporating new AI capabilities across platforms
25:00 Meta makes Ray Bans multimodal
26:30 Contest ends tonight, refer friends to enter.
Topics Covered in This Episode:
1. New Sora Competitor
2. Nvidia's Acquisition of Run;AI
3. Apple's AI Integration Plans
4. Advisory Panel on AI Security for Homeland
5. Adobe Photoshop's Generative Fill Feature
Keywords:
AI news, Sora, NVIDIA, acquisition, Apple, OpenAI, iPhone, AI video competitor, everyday AI, podcast, newsletter, Meta Ray Bans Smart Glasses, generative AI, Vidu, Sheng Shu AI, Tsinghua University, AI model, UVIT model, Run AI, AI infrastructure management, DGX Cloud AI platform, Google, Gemini model, large language model, Adobe, Firefly 3, Photoshop, AI regulations, AI safety.
Learn how work is changing on WorkLab, available wherever you get your podcasts.
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Do we want ChatGPT to remember everything about us? Or, is this a new ChatGPT solution looking for a problem? We're covering ChatGPT's new cross-chat memory feature and how it might change the way you prompt. (For better or worse.)
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT
Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:55 Daily AI news
07:16 New ChatGPT memory feature
08:08 Large language models struggle with remembering conversations.
10:16 OpenAI posted about a new feature.
15:06 Training AI to generate personalized responses efficiently.
22:11 Temporary chats won't improve our GPT models.
24:29 Problematic chat behavior requires better AI training.
27:07 Custom instructions control informal tone and memory crossover.
30:23 New memory feature slowing down response times.
34:01 New memory feature works best with limits.
36:00 AI newsletter referral contest for Meta Ray-Ban glasses.
Topics Covered in This Episode:
1. ChatGPT’s New Memory Feature
2. Benefits and Drawbacks of the Memory Feature
3. Suggestions for Improving ChatGPT
4. Application and Actual Use
Keywords:
Temporary chat, UI, memory feature, ChatGPT, AI news, Elon Musk, XAI startup, AI podcast, AI newsletter, AI giveaway, smart glasses, Doctor Harvey Castro, Michael, YouTube, user engagement, memory management, corrections, Checkatrade, chat history, training data, profile improvements, referral contest, meta Ray Bans, OpenAI, paid users, settings, UI/UX improvement, auto-commit memory.
Learn how work is changing on WorkLab, available wherever you get your podcasts.
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To celebrate our 1 year anniversary, we're going to take a step back to where it all began with episode one and answer the hard-hitting question that no one wants to talk about when it comes to AI and job displacement. Will AI take our jobs?
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI and jobs
Related Episodes:
Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
EP 1: Will AI Take Your Job?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:00 Housekeeping items
05:00 Will AI take your job?
11:10 Generative AI advancing fast, concerns, hope remain.
15:46 2/3 jobs exposed to AI, 300M at risk.
23:26 False information spread by self-proclaimed influencers.
26:36 Smart people build AI, youth teach, AI superior.
36:26 Being creative involves processing past creativity for new ideas.
40:03 Generative AI now affordable, powerful, and reliable.
47:48 Facts presented: AI interest increasing in companies.
51:09 AI not always linked to increased employment.
58:14 OpenAI and Microsoft invest $100B in AI.
59:33 Smart software automates tasks with specialized models.
01:08:51 Workers are leaving big companies to start their own businesses due to AI.
01:09:45 Generative AI reshapes business and products.
01:16:40 Check out today's newsletter and enter giveaway.
Topics Covered in This Episode:
1. Current state of Artificial Intelligence
2. AI's impact on employment
3. Future of AI and jobs
4. The economics of AI
5. Misconceptions surrounding AI and jobs
6. AI in public and corporate view
7. Preparing for AI integration and job transpositions
Keywords:
Generative AI, AI affordability, AI accessibility, AI reliability, AI job impact, company layoffs, job automation, S&P 500, AI mentions in earnings calls, AI industry agents, OpenAI, Anthropic, Google, MetaLama, Cognition Labs, DeepMind, AI and knowledge work, domain-specific AI models, human intelligence and AI, AI democratization, AI exposure in jobs, AI impact on economy, AI and business survival, gig economy and AI, AI personalization, AI generalists, ongoing AI learning, AI giveaways, AI mentions in company earnings, AI expertise.
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When we think recycling, we might think of plastics. Probably not Generative AI, right? Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions.
How do they do it?
And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies?
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and James questions on GenAI and recycling
Related Episode:
Ep 224: AI and its Impact on Society - How it might look
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:50 About James and Lanzatech
04:49 Using AI to engineer biology for refining.
09:47 Create biological language model to engineer microbes.
13:00 Misconception about value from large language models.
15:58 Importance of creating and using specialized models.
17:10 AI accelerates technology development, leading to efficiency.
22:09 AI enhances scientific experiments with human oversight.
24:32 Golden age of technology with AI excitement.
Topics Covered in This Episode:
1. About James Daniell and Lanzatech
2. How generative AI helps recycling
3. Use and benefits of AI within LanzaTech
4. Potential of GenAI solving environmental problems
Keywords:
Generative AI, science, biology, productivity, sales cover letter, bio companies, life science companies, impact, everyday AI, Jordan Wilson, artificial intelligence, computational biology, LanzaTech, climate change, fossil fuels, pollution, carbon, carbon recycling, microbes, emissions, carbon recycling technology, building block chemicals, fuels, products, transformer, Google, genetic engineering, trash into treasures, internal scientific knowledge base, intelligence amplification.
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Is this AI tool too good to be safe? Maybe. We'll be taking a look at Microsoft's impressive VASA-1 deepfake cloning technology.
We'll answer the important questions:
↳ What is this technology?
↳ Why do we need it?
↳ Is it so good that it's dangerous?
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Microsoft VASA-1
Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Ep 157: Future of AI Video – Pika Labs 1.0, Runway updates, Meta Emu and more
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:20 Daily AI news
05:15 Is VASA-1 dangerous?
09:12 Potential dangers of AI outweigh potential benefits.
12:14 Voice inflection changes, impressive text to speech.
15:29 Generative content creation: impressive, concerning, and exciting.
18:54 Quickly scalable technology opens exciting possibilities but troubling.
21:23 Real-time face swapping with surprising computing power.
24:35 Realistic motion control, capturing human-like tendencies.
29:26 Use digital avatars for efficient training purposes.
30:16 Microsoft research paper VASA 1 creates human-like avatars.
34:20 Discussing generative AI's potential benefits versus risks.
Topics Covered in This Episode:
1. Explanation of VASA-1's capabilities
2. Concerns around Microsoft's VASA-1
3. Discussion on deepfakes
4. Potential Risks and Ethical Considerations
5. Potential Benefits and Positive Use Cases
Keywords:
Microsoft's VASA 1, deep fake model, Everyday AI, livestream podcast, AI news, Adobe, Photoshop, Google, DeepMind, Microsoft PHY 3 mini model, OpenAI's SoRUP, AI deepfakes, talking head images, Jordan Wilson, misinformation, disinformation, generative AI, AI's impact on jobs, lifelike talking faces, digital twin technology, AI avatar, AI-generated speech, Mona Lisa, Baidu's Emo, Synthesia, HeyGen, Hour 1, DID platform, training, personalized learning
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Will Meta's Llama 3 take the LLM crown? Is Microsoft's VASA-1 so good that it's dangerous? What does the new Atlas model from Boston Dynamics mean for the intersection of AI and robotics? We'll catch you up on all of that and more, with this week's AI News that matters.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:20 New developments in Meta's llama.
05:03 Try Llama 3, important updates, December 2023.
08:30 Anthropic's models range from 8B to 400B parameters.
12:43 Artificial intelligence creates hyperrealistic talking head videos.
14:55 VESA 1 technology creates videos from one image and voice.
19:19 Boston Dynamics introduces electric Atlas robot model.
23:09 Next iPhone may partner with Google or OpenAI
26:40 Instagram post hints at Caitlin Clark's success.
Topics Covered in This Episode:
1. Introduction of Meta Llama 3
2. Microsoft's Introduction of VASA 1
3. Miscellaneous AI and Tech News
Keywords:
Jordan Wilson, Meta, Llama 3, Microsoft, visa 1, chat GPT 5, Meta AI, open model, closed source models, OpenAI, Google, public use, Facebook, knowledge cutoff, download, fork, benchmarking, parameters, model, Mark Zuckerberg, CEO, Google Gemini, Anthropic's Quad 3 OPUS, VASA 1, AI framework, hyperrealistic talking faces, lip syncing, AI-based movie making, Atlas robot, TED Talks.
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We've been doing this whole 'talk about AI every day' thing for about a year. So you decided (literally, in a poll) that you wanted to grab the metaphorical mic and flip the script. It's your turn to interview me on the first (and maybe last?) edition of Freestyle Friday: Ask Me Anything (about AI).
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes
Ep 176: GenAI Catchup – What’s coming in 2024
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:25 Daily AI news
06:52 Meta's large models outperform leading models.
12:15 ChatGPT feature automatically commits information to memory.
13:11 OpenAI struggles with sharing context window effectively.
20:38 Uncertainty surrounding AI monetization and impact on SEO.
23:56 Testing abilities of AI models compared to humans.
36:33 Detecting text-based disinformation is more challenging.
38:01 Struggling to keep up with industry changes.
41:48 OpenAI and Meta update knowledge cutoff dates.
48:10 Third-party tools lack necessary features for business.
Topics Covered in This Episode:
1. AI-related queries
2. AI in business and startups
3. Use of AI models
4. Legal and ethical challenges in AI
Keywords:
AI, ChatGPT, cross chat memory, AI apps, third-party tools, everydayai.com, Freestyle Friday, large language models, Meta, Microsoft Copilot, AI acquisitions, data collection, AI chats, AI and disinformation, AI anxiety, AI startup market, Llama 3, open-source models, closed source models, MMLU system, Mistral, Cast Magic, Voila, AI in education, AI in sports, US military dogfight, NVIDIA, LAMA 3.
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What the heck is a GPT and do I need one? The answer is yes. GPTs take ChatGPT to the next level, allowing you to create custom workflows for your needs. Whether you're a beginner or you've built a GPT or 5, this episode is for you.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on GPTs
Related Episodes:
Ep 183: Turning GPTs Into Gold – Monetization Strategies and Practical Applications
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:25 Daily AI news
07:00 Basics of GPTs
08:52 Knowledge workers can benefit from GPTs.
11:49 Creating custom GPTs allows fine-tuned control.
15:40 Many publicly available GPTs for custom use.
19:04 Customized ChatGPT utilizes industry-specific knowledge.
22:01 Multiple GPTs used in chat for autonomy.
25:45 Sell custom GPTs and make some money.
27:47 Quick rapid-fire Q&A for live audience.
32:08 Identify repetitive tasks to create GPT.
35:01 Customize ChatGPT for specific tasks and needs.
39:44 Provide input-output pairs to improve GPT performance.
43:41 Use web reader GPT
48:59 Using GPT helps complete tasks efficiently.
Topics Covered in This Episode:
1. Custom GPTs: An Overview
2. Utilization of GPTs in Everyday Tasks
3. Creating Custom GPTs
4. Monetization of GPTs in GPT Store
5. GPTs in Action: Automating Work Operations
Keywords:
artificial intelligence, podcast, Bing, priming the AI, GPT, chat GPT, custom GPT, GPT store, workflow automation, repetitive tasks, knowledge tasks, ChatGPT Plus, GPT customization, business development, career growth, Slack's AI tools, Boston Dynamics' robot, Microsoft's AI model, GPT course, Copilot Pro, monetization, browser plugin, document recall, targeted research, configuration instructions, conversation starters, custom knowledge base, paying users.
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Let's agree on this: so many schools are dropping the ball on GenAI. So, what should schools be doing NOW to make sure they can benefit from an AI future? We find out with Darren Coxon, Founder of Coxon AI.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Darren questions on AI in education
Related Episodes:
Ep 168: AI in Higher Education is Broken. How to Fix it.
Ep 178: Teaching The Next Generation About AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:20 Daily AI news
04:05 About Darren and Coxon AI
07:57 Fear and misunderstanding of AI in education.
10:52 AI alignment with school leaders crucial for success.
15:59 AI in education example using Gemini and Claude.
17:51 AI as learning support, teachers should improve.
20:38 Schools under pressure to adopt AI strategies.
24:29 Feeling like part of an experiment, teaching above.
27:08 Kids learning DNA through friendly AI conversations.
30:38 Start using it with younger non-exam students.
Topics Covered in This Episode:
1. AI as a Support Tool, Not a Replacement
2. Schools and Their Relation to AI
3. Integration of AI Into Curriculum and Teaching Approaches
4. Slow Pace of Change in Education Systems
5. Adopting AI in Low-Stakes Educational Situations
Keywords:
AI in education, Darren Coxon, AI strategy in schools, artificial intelligence, engaging students, pedagogy, chatbots in education, cyberbullying, plagiarism, safeguarding, digital strategy in schools, human skills, critical thinking, creativity, education system change, generative AI, hyper-personalized learning, human-focused activities, everydayai.com newsletter, AI integration concerns, fear of AI, large language models, leadership alignment, AI misconceptions, future of education, AI fun, AI adoption, Microsoft & g42 partnership, AMD GPU chips, NVIDIA GPU chips.
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Ready for a little LLM secret? Big tech companies are lying to us. They tell us their models are connected to the internet in real time. Are they really? Not really. We're doing an LLM breakdown, as we compare the internet connectivity of popular large language models like ChatGPT, Gemini, and Copilot.
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Join the discussion: Ask Jordan questions on LLMs
Related Episodes:
Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs
Ep 204: Google Gemini Advanced – 7 things you need to know
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:00 LLMs we are testing
05:33 RAG importance in AI and internet connection.
06:50 Browsing with Bing queries words in URL.
13:04 Comparing AI accuracy
15:40 Rating and evaluating ChatGPT and Copilot performance.
19:34 Acknowledgement of Google's helpful search feature.
26:14 Uploading files to ChatGPT.
29:21 Unofficial language model results from Internet connection.
31:14 Large language models being integrated everywhere.
Topics Covered in This Episode:
1. Testing Large Language Models
2. Using Large Language Models in Business
3. In-Depth Comparison of Different Language Models
4. Implications for Future Use
Keywords:
ChatGPT, Google Gemini, Microsoft Copilot, large language models, internet information retrieval, web reading platforms, information interpretation, accuracy, business use, safeguards against inaccuracies, up-to-date information, real-time data, live testing, language model performance, Everyday AI, Jordan Wilson, market cap, largest US companies, podcast episodes description, language models comparison, browse with Bing feature, web reader GPT feature, outdated information, information veracity, data retrieval, PDF hidden information, artificial intelligence, integrated AI, internet connectivity, knowledge workers.
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Will Google be (more?) relevant now with its AI announcements? Why did Adobe reportedly train its AI image model with.... AI images? And is OpenAI in trouble with YouTube? We've got those answers and more with our weekly AI News That Matters segment.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 204: Google Gemini Advanced – 7 things you need to know
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:30 Google's new AI features from Cloud Next.
05:40 Google announces Google Vids and Gemini 1.5.
08:23 OpenAI's recent firings and internal investigation.
13:23 YouTube CEO warns against unauthorized use of content.
16:28 Debates on copyright and AI-generated content.
19:29 AI image generators raise copyright ownership concerns.
21:45 Adobe under scrutiny for using copyrighted material.
25:10 Adobe pays creators, future job security uncertain.
Topics Covered in this Episode:
1. Google's AI announcements
2. OpenAI's data leak and staffing changes
3. YouTube's CEO's concerns about OpenAI
4. Controversies around Adobe's AI image model, Firefly
5. Adobe's incentives for AI training data collection
Keywords:
Google AI, Adobe, OpenAI, data leak, AI news, generative AI, AI developments, AI tools, software, Google's new AI features, Google Workspace, AI podcast, Google Cloud Next Conference, Google Vids, AI video, AI image, Midjourney, Firefly, AI model garden, everyday AI, training AI models, copyright infringement, Neil Mohan, YouTube, artificial intelligence, ChatGPT, YouTube's terms of service, AI transparency, Sora model, AI ethics.
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Bigger isn't always better. Today, we're giving you 14 essential facts about Small Language Models. You'll not only learn the difference between large and small language models, but you'll be able to slice through the jargon and be the language model expert in the room.
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Join the discussion: Ask Jordan questions about small language models
Related Episodes:
Ep 204: Google Gemini Advanced – 7 things you need to know
Ep 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:40 Exploring small language models vs large models.
03:42 Definition of small language models is changing.
08:49 Small language models are for specific purposes.
11:55 Small language models are faster and local.
14:45 Tim Cook announces new language model for devices.
21:25 2024 shift to smaller, focused language models.
27:56 RAG: Combining data, small language models' future.
28:52 Concern for large language models, potential for small models.
Topics Covered in This Episode:
1. Introduction to Language Models
2. Advantages and Usage of Small Language Models
3. Comparison of Small and Large Language Models
4. Future of Small Language Models
Keywords:
Large language models, Small language models, GPT-4, Gemini Ultra, PHY2, Llama, Parameters, Language translation, coding, Generating AI, GPT-5, MMLU, Speed, Efficiency, Fine-tuning, Maintenance, Copy-paste prompts, Chatbots, Search engines, Voice assistants, Hugging Face, Cloud-based services, Downloading models, Gemini Nano, NVIDIA's chat with RTX, RAG, Security, Privacy, Retrieval Augmented Generation
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ChatGPT is still the biggest and best AI chatbot in 2024. Yet so many people are still confused about the difference in modes. So, we're gonna tackle one of the biggest questions we get - what's the difference between the free version of ChatGPT and the paid version of ChatGPT Plus?
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Join the discussion: Ask Jordan questions about ChatGPT
Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:15 Daily AI news
07:15 New updates with GPT-4 Turbo
13:18 ChatGPT still limited, information may be incomplete.
16:19 Paid account gets 40 messages every 3 hours.
17:18 Updated free 3.5 model faster, but still slow.
22:21 Efficiently complete multiple tasks within one chat.
24:57 Utilize ChatGPT for automating knowledge work.
28:26 Integration with Bing allows direct web connectivity.
33:27 Update: ChatGPT available without account.
38:02 Advantages of ChatGPT Plus
41:46 Copilot Pro enhances Microsoft 365 functionality for users.
42:46 Microsoft-centric tool, except for Teams integration.
48:57 GPT4 benchmarks old, still better than others.
51:42 PDF or GPT upload varies by performance.
54:31 ChatGPT upcoming features
56:25 Paid and free user input improves ChatGPT.
Topics Covered in This Episode:
1. Recent ChatGPT Updates
2. Free ChatGPT vs ChatGPT Plus
3. Limitations of Free ChatGPT
4. Advanced Features of ChatGPT Plus
5. ChatGPT Plus vs Other Platforms
6. Speculations about Future Versions of ChatGPT
Keywords:
OpenAI, ChatGPT technology, GPT technology, free version of ChatGPT, paid version of ChatGPT, GPT-4 Turbo, UDO AI music generator, Suno, Amazon generative AI, Andy Jassy, Google Cloud event, enterprise AI models, AI integration in Google Meet, memory recall of ChatGPT, GPT tokens, custom GPTs, confidential documents, knowledge cut-off, ChatGPT 4 Turbo, large language models, integrations in ChatGPT, data analysis, code interpreter, OCR, DALL E image generator, Microsoft Copilot, Perplexity, beta features in ChatGPT
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How should you view Artificial Intelligence? Can it be your new best friend, helping you with every task of your day? Or, could it be a legit nightmare and tech terror? Sheetal Rishi, AI Transformation Leader, joins us to help you understand the steps to take to make sure that Generative AI is more friend than foe.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Sheetal questions on AI
Related Episodes:
Ep 224: AI and its Impact on Society: How it might look
Ep 206: There is No AI Hype – This is how the world works now
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:20 Daily AI news
05:00 About Sheetal Rishi
09:24 AI adoption growing, democratization of technology capabilities.
12:26 Technology can generate answers from various sources.
14:28 AI infrastructure costs have decreased significantly.
19:16 Use machine for tasks, elevate your value.
22:57 Enterprises seek change, face resistance and innovation.
26:24 Emphasize enterprise-approved technology for faster data access.
27:53 AI must be embraced strategically to benefit.
Topics Covered in This Episode:
1. Evolution and democratization of AI technology
2. AI in the Corporate Sector
3. AI in Education and Skills
4. AI Integration in Daily Life
5. AI's Disruptive Influence
Keywords:
AI technology, evolution of AI, democratization of AI, electricity impact, individual AI adoption, enterprise AI adoption, data literacy, barriers to AI implementation, conversational systems, AI infrastructure cost, business transformation, Watson's AI success, AI potential threat, corporate challenges, GitHub Copilot, Power BI, Google's features, innovation in enterprise, enterprise education, job security, human and AI coexistence, change management, generative AI, legacy enterprises, fusion strategy, Tesla, artificial intelligence, machine learning, deep learning.
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Whether you're browsing social media or searching the web, there's so much bad advice out there about ChatGPT. We're cutting down the rumors about what ChatGPT is and how to use it. Here's a beginner's guide on knowing who to trust around Large Language Models.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT
Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 109: LLM Showdown – ChatGPT, Bing Chat, Google Bard, Claude 2 and Perplexity
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:00 Daily AI news
05:45 Lots of bad info around ChatGPT
08:00 Comparing Copilot and ChatGPT as similar
11:45 ChatGPT generates diverse outputs from similar inputs
13:40 Comparison of human and ChatGPT writing styles
17:08 Stop sharing incorrect GPT technology usage screenshots
22:40 trained AI outperformed human.
27:35 Ignore exaggerated prompts, focus on authentic communication.
32:26 Words analyzed by OpenAI's tokenizer.
35:29 Free ChatGPT like landline, GPT4 like smartphone.
36:29 Zapier enables custom GPT, data integration, workflow.
Topics Covered in This Episode:
1. Overview of ChatGPT
2. Misconceptions around ChatGPT
3. Usage of Generic Business Prompts
4. Superiority of Large Language Models
5. Risks of Sole Reliance on Tools like ChatGPT with Bing
Keywords:
Chat GPT, ChatGPT Plus, GPT4, generative AI, large language models, NVIDIA GeForce RTX GPU, Free daily newsletter, outdated data, Bing, Jordan Wilson, Nike slogan writer, ChatGPT with Bing, SEO manipulation, Everyday AI podcast, GPU giveaway, US government semiconductor investment, copywriting, AI applications, custom-built ARM processor, Axion, Google Workspace, prime prompt polish chat GPT course, Lewis testimonial, business prompts, misleading information, refining large language model, tokenization of words, refine queue, zero-shot prompting, career growth.
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Is Google really going to charge money for AI search? Will job loss be so bad that we'll need to be saved by....big tech? And is AI music actually so good that the world's biggest musicians are worried? We'll be talking about that and more on Everyday AI's news that matters for the week of April 8, 2024.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?
Ep 207: AI Will Allow Us All to Make Music We Enjoy
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:50 Google introducing AI search with new ad formats.
07:51 Startup seeks funding for integrating AI into devices.
11:54 Claude's new tool will change global usage.
15:09 Musicians and authors unite against AI threats.
18:59 OpenAI, copyright, and lawsuits in tech companies.
22:12 Major tech companies form AI workforce consortium.
28:02 AI transformative, impacting workforce; JPMorgan embraces evolution.
30:10 Companies shifting stance to embrace generative AI.
Topics Covered in This Episode:
1. Google's proposed idea of charging for AI-based search.
2. AI in the Music and Writing Industries
4. Big tech companies forming a consortium targeting job loss due to AI.
3. JPMorgan Chase’s new position on generative AI.
Keywords:
Jordan Wilson, Ken, large language models, VC money, Anthropic AI, Claude AI models, Opus model, AI music generation tools, Billie Eilish, Nicki Minaj, Katy Perry, James Patterson, Suzanne Collins, AI news, Google, AI-based search, search generative experience, Jony Ive, Sam Altman, OpenAI, JPMorgan Chase, generative AI, ChatGPT, tech industry, Spotify, Apple Podcasts, copyright law, lawsuit, Adobe, tech layoffs.
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If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Shruti questions on GenAI and AWS
Related Episodes:
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:20 About Shruti Koparkar and AWS
02:50 More on AWS and Generative AI
09:54 X-rated computing used to fine-tune models.
12:46 Adobe focused on AI tools, using AWS.
17:50 AI evolution and AWS preparedness for influx.
21:01 Experienced ARM engineer excited about NVIDIA's potential.
24:08 Identify use cases for small-scale applications.
Topics Covered in This Episode:
1. AWS and its Role in Generative AI
2. AWS and Foundation Models
2. AWS's Involvement with Companies Implementing Generative AI
4. Future Preparations of AWS for Generative AI Developments
Keywords:
generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing
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Win a free year of ChatGPT or other prizes! Find out out.
If I had to count, I probably use Generative AI at least 100 times a day. Some are advanced. Some are super simple. I'm going to be sharing some of the simplest ways that I use Generative AI to create Everyday AI and tell you the ways that you can use my same tactics to start winning back time today.
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More on this Episode: Episode Page
Learn more in today's newsletter
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 189: The One Biggest ROI of GenAI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:30 Daily AI news
07:17 Knowledge workers adapt to succeed in AI era.
10:44 Behind the scenes of Everyday AI production.
18:21 Steal this method to learn about your career.
19:10 Customize Google search for efficient news updates.
23:01 Using shortcuts to gather information efficiently.
27:15 Using CastMagic and its features.
29:13 Automated transcription
33:57 Microsoft 365 Copilot helps with team work.
37:05 Addicted to Chrome, but now liking Edge.
40:20 Request to find specific generative AI statistics in PDF.
44:17 Chat prompt reused for specific AI training.
45:02 Optimize chat model use with refined method.
50:12 Use perplexity for efficient research queries, not Google.
52:03 Generative AI can save knowledge workers time.
Topics Covered in This Episode:
1. Practical uses of Generative AI
2. Tips for saving time using AI
3. Summarizing web pages for quick updates
4. Organizing and training ChatGPT for specific tasks
Keywords:
Microsoft 365 Copilot, Microsoft 365 Teams, Cast Magic, Chat GPT, Microsoft Edge, Chromium, Chrome Extensions, Copilot Integration, Perplexity, Google Search, Generative AI, McKinsey Digital, AI News, Amazon Web Services, Voila, Organizing Chat GPT, AI in Research, Custom Prompts, Knowledge Workers, New York City AI-powered Chatbot, Google's AI Reply Suggestions, Premium AI Features, AI Automation, Chat GPT Summaries, AI Content Generation, Everyday AI, AI News Headlines, Third-Party Information Connection, Bullet Points Summarie
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Send Everyday AI and Jordan a text message
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More on this Episode: Episode Page
Learn more in today's newsletter
Join the discussion: Ask Jordan and Avi questions on AI and research
Related Episodes:
Ep 89: AI’s Role in Responsible Research
Ep 121: Faster and More Accurate Results From ChatGPT with ScholarAI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:20 Daily AI news
05:16 Simplify writing process for academic researchers with AI.
07:36 Democratization of science and skepticism in society.
10:33 ChatGPT has diverse data sources, impacts reliability.
18:36 AI researchers responsible for high standard, education.
19:32 Using AI in research
22:37 AI tools improving accessibility and accuracy.
27:30 Explore pain points, offer AI research tools.
31:17 Questioning scientific studies, AI's importance emphasized.
35:05 Encourage critical thinking when using AI tools.
37:18 AI can enhance research and understanding information.
Topics Covered in This Episode:
1. Importance of Research Accessibility and Transparency
2. Utilizing AI Tools in Research and Writing
3. Integrity and Reliability of AI-Generated Content
4. Responsible Use of AI and Source Attribution
5. Problems of AI-generated Content in Research
Keywords:
skepticism around science, accessibility in research, transparency in research, AI tools, democratization of research, research integrity, research reliability, research fraud, misuse of AI tools, scientific literature, attribution in research, Jordan Wilson, ChatGPT, Sykespace, Illicit, Sciwriter, academic writing, AI Tool Up Tuesdays, curated content, Everyday AI, academic research, CodeRepair, Stable Audio 2.0, peer-reviewed journal article, publish or perish pressure, Consensus Scholar AI, Perplexity, Proofig, Image Twin.
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Is your company banning AI? If so, they should prepare to shut down. When ChatGPT started the GenAI wave about 18 months ago, so many companies, enterprises, and universities made brash decisions. Instead of understanding it and using it to grow, they banned it. Here's why that's wrong.
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Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:30 Daily AI news
07:40 Banning AI? Company will fail.
11:18 Banning generative AI is like banning the Internet.
14:53 Companies followed JPMorgan in banning generative AI.
18:12 Need to embrace generative AI, prioritize security.
21:28 Trust employees with internet, extend trust to AI.
24:23 85% boost in productivity, embrace data security.
30:51 Industry giants will be overtaken by younger competitors.
Topics Covered in This Episode:
1. Consequences of Banning Generative AI
2. Importance of Adapting to New Technologies
3. Generative AI and Data Security
4. AI Legal Implications and Regulatory Compliance
5. Productivity Benefits and Risks of AI
Keywords:
Everyday AI, consequences of banning generative AI, failure of companies, industry concerns, sensitive data concerns, innovation, Blockbuster, Blackberry, Sears, technological changes, AI implementation, AI strategy, fear of generative AI, embrace generative AI, data security measures, cloud storage, email, misinformation, intellectual property issues, legal implications, regulatory compliance, productivity benefits, adaptation, VHS and DVD companies, online shopping, bankruptcy, Cisco Data Privacy Benchmark Study, restriction on generative AI, ChatGPT.
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Have you seen the latest Apple rumors regarding AI? What does the $100-billion Stargate partnership between Microsoft and OpenAI actually mean? And will NVIDIA's competitors be able to catch them after forming the UXL Foundation? Here's this week's AI news that matters!
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Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 201: Apple Vision Pro – The AI-powered product that (hardly) no one needs
Ep 236: NVIDIA GTC Recap – 3 ways NVIDIA is going to change the AI world
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:15 Apple to reveal AI strategy at WWDC.
04:45 Apple likely partnering with OpenAI or Google.
09:54 Stargate to host powerful AI chips, meeting demand.
12:56 Big investment in AI chips and infrastructure.
19:45 Partners granted early access to OpenAI's voice engine.
26:21 NVIDIA's rapid growth and innovation.
27:03 NVIDIA's new chip outperforms competition, unites rivals.
Topics Covered in This Episode:
1. Apple's AI strategy
2. Microsoft and OpenAI's AI Supercomputer Project
3. OpenAI's New Voice Engine
4. Collaboration between tech giants to counter NVIDIA.
Keywords:
OpenAI, Voice Engine, clone voices, privacy implications, misuse of AI voice technology, US government, AI regulation, bans on AI voice cloned robocalls, Intel, Google, ARM, Qualcomm, Samsung, Unified Acceleration Foundation (UXL), NVIDIA, AI market domination, proprietary tech, hopper chip, Blackwell chip, super team, 2013 Miami Heat, Jordan Wilson, generative AI, Apple AI strategy, Siri, Apple's Iwork apps, AI supercomputer, Stargate, $100 billion project, Microsoft
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How will AI change the way we shop online? Whether you own an e-commerce business or not, AI is changing the entire online shopping experience and will have an effect on all of us. Jo Lambadjieva, Founder of Amazing Wave, joins us to discuss how AI is impacting e-commerce.
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
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Join the discussion: Ask Jordan and Jo questions on AI and e-commerce
Related Episodes:
Ep 82: Using AI To Grow Your E-commerce Presence
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:50 Daily AI news
05:00 About Jo and Amazing Wave
07:37 AI's impact on e-commerce
10:35 AI changes consumer behavior in searching/browsing
14:10 Amazon Rufus and user experiences.
19:42 AI enhances business productivity and product development.
22:39 AI revolutionizes e-commerce through customer persona understanding.
25:16 AI-generated content may erode customer confidence.
29:15 Prepare for major changes in online shopping.
30:44 AI impact on email and e-commerce discussed
Topics Covered in This Episode:
1. Current State of AI in E-commerce
2. Democratization of E-commerce
3. Behavioral changes of customers due to AI
4. Importance of Customer Persona in AI
5. Future Predictions of AI in E-commerce
Keywords:
AI in e-commerce, Jo Lambadjieva, e-commerce automation, customizing customer experience, e-commerce sellers, content targeting, democratization of e-commerce, AI backlash, optimizing processes, Amazon stores, data analysis, process automation, ChatGPT, Zapier integrations, customer journey, Amazon AI, PPP course, ChatGPT course, e-commerce professional, online consumer behavior, Google's search generative experience, Amazon's chatbot Rufus, online shopping behaviors, AI news, AI chatbot Grok, AI startup Anthropic, White House AI guidelines, AI's impact on e-commerce, human touch in AI use, AI-generated content.
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Businesses are trying to figure out the best way to implement GenAI. One company that has it figured out? World Wide Technology. WWT's CEO Jim Kavanaugh, is laying out their GenAI blueprint for business implementation.
Awesome Stuff From Our Partner, NVIDIA -
Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jim questions on GenAI
Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
01:30 About WWT and Jim Kavanaugh
06:59 Connecting with users for effective AI.
10:06 Advantage of working with NVIDIA for digital transformation.
13:10 Discussing techniques and client example.
18:35 CEOs implementing AI, seeking solutions.
20:46 Creating awareness, training, and leveraging technology efficiently.
25:27 AI increasingly important, impacts all industries' outcomes.
27:18 Use secure, personalized language models for efficiency.
32:32 Streamlining data access for engineers and sales.
35:42 CEOs need to prioritize technology and innovation.
37:02 NVIDIA is the game-changing leader.
Topics Covered in This Episode:
1. Impact of Generative AI
2. Role of GenAI in World Wide Technology
3. AI Adoption for Business Leaders
4. Large Language Models and AI Impact
5. Challenges in the Generative AI Space
6. Organization Culture and AI Implementation
Keywords:
generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process
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If you want a successful business in the age of AI, you need to be able to collaborate in real-time. With the combination of COVID and generative AI, the way we work has completely changed. Zoom's CPO, Smita Hashim, joins us to discuss how AI is changing real-time collaboration.
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Related Episodes:
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins
Ep 216: How to stand out in a world filled with AI startups – Insights from Taplio CTO
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Timestamps:
01:45 About Smita and her role at Zoom
05:30 How real-time collaboration has changed.
10:12 Generative AI has transformative, practical possibilities.
11:30 Zoom announces new Zoom Workplace features
17:54 Zoom AI companion streamlines data for efficiency.
21:30 Next steps for AI and real-time collaboration
Topics Covered in This Episode:
1. Importance of Real-Time Collaboration
2. Zoom Enterprise Connect event
3. New Zoom Workplace Features and AI Integration
4. Future of Real-Time Collaboration and AI
Keywords:
Generative AI, Real-time collaboration, Remote working, Hybrid working, Zoom, Chief product officer, Enterprise Connect, Microsoft Teams, Google Meet, Video communication, Zoom Workplace, Zoom AI companion, Productivity, Whiteboard functionality, Docs collaboration, Meetings summarization, Chats summarization, Zoom phone, Flexible work, Information overload, Data privacy, Total employee experience, Content production tool, Productivity software suite, Customer engagement, Multimodal, Security, Immersive reality, Augmented reality, Employee engagement
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NVIDIA's announcements from its GTC conference will change the AI world. We partnered with NVIDIA and were at the conference all week. We're breaking down all the big headlines and explaining what it means for the future of AI.
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
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Related Episodes:
Ep 234: Driving the Future – NVIDIA’s Vision for AI-powered Transportation
Ep 233: Robots Among Us – How NVIDIA is building the future of robotics
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Timestamps:
01:50 Daily AI news
08:19 Powerful GPUs are crucial for generative AI.
09:42 NVIDIA dominates GPU market with powerful technology.
15:58 2024: Year of generative AI, compute shortage.
19:34 Generative AI implementation expected to surge in 2024.
22:52 Partners investing in NVIDIA for compute tech.
26:32 Simulations revolutionize manufacturing process with accessible technology.
28:56 Predicting audience reaction based on data analysis.
33:41 NVIDIA's Gr00t system revolutionizes robot manufacturing.
36:33 AGI, humanoid robots with language models approaching.
38:25 Insights on robotics and AI at GTC conference.
Topics Covered in This Episode:
1. Nvidia’s Developments and Innovations
2. Nvidia’s Role in Changing AI Ecosystem
4. Benefits and Application of AI-powered Simulations
5. Nvidia’s Involvement in Robotics
6. Speculations and Aspirations for AGI
Keywords:
NVIDIA, GPUs, Blackwell system, NIMS, NEMO, NVIDIA AI Foundry, Omniverse, Isaac robotics, chipmaker, compute sweet spot, simulation-driven world, humanoids, AGI, digital twin, product simulation, service simulation, Groot, robot manufacturers, Figur, Isaac Robotics platforms, artificial general intelligence, Jensen Huang, Fora, NVIDIA GTC conference, Jordan Wilson, generative AI, computational power, edge AI, local model running, MIT researchers.
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Did Microsoft just make the biggest AI power move? Can you play chess using your brain with Musk's Neuralink chip? What's happening with Stability AI? We're breaking down this week's AI news that matters.
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Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
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Website: YourEverydayAI.com
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Timestamps:
02:20 "Microsoft makes major AI power move"
06:29 Microsoft CEO dismisses OpenAI amidst controversy.
07:42 Microsoft's Nadella shows confidence in OpenAI.
10:48 Neuralink's patient demonstrates brain chip success.
13:10 Stability AI CEO resigns
15:00 Open Interpreter new AI device
21:40 OpenAI taking Sora to Hollywood
24:26 Virtual production to revolutionize filmmaking industry soon.
Topics Covered in This Episode:
1. Microsoft's AI Division and Leadership Changes
2. Neuralink's AI-Powered Brain Chip
3. Stability AI CEO Resignation
4. Open Interpreter O1 AI device
5. OpenAI's Sora in Hollywood
Keywords:
Microsoft AI division, Mustafa Suleiman, Inflexion AI, Karen Simeon, OpenAI, Sam Altman, Nadella, Neuralink chip, chess, stability AI, CEO resignation, hardware device, Open Interpreter, Sora, text-to-video technology, Hollywood, GPT technology, Lex Fridman podcast, Tyler Perry, AI disruption, Hollywood studios, film industry, AI video, personalized videos, Pixar, NVIDIA GTC, San Jose, CEO Jensen, GPU technology, workshops, AI content.
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
You might think the auto industry hasn’t changed since the Model T. There’s a lot going on under the hood, though. Especially with AI revving its engine now louder than ever. So what’s next in the auto industry with so much new AI tech behind the wheel? That’s exactly what we’ll be discussing with Danny Shapiro, NVIDIA’s Vice President of Automotive.
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Timestamps:
00:00 About Danny and his role at NVIDIA
04:29 NVIDIA transforms into automotive-grade company with innovation.
08:48 Constant need for computing power for safety.
12:09 Testing autonomous trucks in Texas using simulation.
15:00 Collaboration in design and virtual simulations.
16:44 Future of automotive technology.
23:51 Phone-like software updates bring joy to vehicles.
Topics Covered in This Episode:
1. NVIDIA's Role in the Automotive Space
2. Impact of Increased Computational Power in Vehicles
3. Impact of Generative AI in Vehicles
4. Automotive Simulations and Safety Measures
5. Future of Transportation
Keywords:
AI, transportation, future, self-driving, flying cars, automotive, NVIDIA, GTC conference, safety, supercomputing, autonomous vehicles, automotive industry, generative AI, connected cars, software updates, Blackwell architecture, Omniverse, digital twins, simulation, language models, perception algorithms, manufacturing, end-to-end approach, design, engineering, virtual test drive, service and maintenance, highway autopilot, urban autopilot, valet parking
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
AI + Robots — is it just science fiction? Or, could the intersection of AI and robotics change our daily lives WAY sooner than we’d expect? We find out with Amit Goel, the Director of Robotics at NVIDIA, a global leader in the robotics industry.
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Timestamps:
01:30 About Amit and NVIDIA robotics
04:11 Large language models and consume data teach robots.
06:20 NVIDIA's role in robotics at GTC conference.
10:38 Public perception of robotics and humanoid future.
14:47 Robots and AI replacing human tasks concern.
15:49 Robotics tasks, automation, and train workforce.
20:44 Keynote discusses faster computing's impact on industries.
23:51 Large language models enable natural language interaction.
27:03 Excited about improving existing robots with AI.
Topics Covered in This Episode:
1. Robotics and AI Advancements
2. Public Perception Towards Robotics
3. Deploying Tasks to Robots
4. Use of Generative AI in Robotics
5. NVIDIA's Role and Impact in Robotics
Keywords:
Robotics, NVIDIA, GTC conference, Amit Goel, AI, large language models, generative AI, simulation technology, computing power, embedded products, Yaskawa, digital twin, industrial robots, manufacturing, logistics, Boston Dynamics, humanoids, human-robot interaction, automation, IT systems, operations, traditional robotics, Graphics, chat GPT, Blackwell, data, real physical implementation, robot-specific language, Groot model, public perception.
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
Every business leader is wondering: How can you create value company-wide with Generative AI? And how can you actually capture that value and show the impact?
Evan has some answers. Evan is the General Manager and VP for AI Solutions & Cloud at Hewlett Packard Enterprise.
Join us as we get answers from an HPE leader in the GenAI Enterprise space as part of our partnership with NVIDIA at the NVIDIA GTC conference.
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Join the discussion: Ask Jordan and Evan questions on GenAI and business value
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Timestamps:
00:00 About Evan and HPE
05:11 Blindly trusting tools leads to data leaks.
08:40 Enterprise search evolving to synthesize and respond.
10:46 Cloud providers and software vendors handle basics
13:47 Genai tools make analysts more efficient, valuable.
16:18 Data is essential for significantly better models.
Topics Covered in This Episode:
1. Creating value in business with generative AI
2. Adoption and Effectiveness of Generative AI
3. Customer and Industry Involvement
4. Pitfalls and Successes with Generative AI
5. HPE Collaboration with NVIDIA
Keywords:
generative AI, business value, ChatGPT, language models, NVIDIA GTC conference, AI Solutions, HPE, hardware, infrastructure, enterprise customers, computer vision, deep learning, NLP, generative AI, customer experience, retailer, search, mobile app, data security, privacy, cost, small model, large language model, AI workloads, cloud, data centers, RAG, enterprise search, document store, software, microservices, venture, data, moat
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
AI is being used in about every facet of the financial industry. A company you might not know helping power the entire industry forward? NVIDIA. And Malcolm deMayo is a key player making it all happen. Malcolm is NVIDIA’s Global Vice President of the Financial Services Industry. Tune in as he gives us the behind-the-scenes of the AI-powered money moves that NVIDIA is making.
This is a special in-person interview in partnership with NVIDIA and their NVIDIA GTC Conference.
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Timestamps:
00:00 About Malcolm and his role at NVIDIA
05:28 Generative AI is a game changer.
06:38 Financial firms must embrace technology for success.
12:43 Generative AI's role in financial sector risk.
14:15 Financial firms adopting NVIDIA's compute platform.
19:42 NVIDIA's impact on financial institutions through digitization.
22:02 Firms aiming to build our amazing tech.
24:06 Server providers build and offer trading data.
Topics Covered in This Episode:
1. NVIDIA's Platform and Partnerships in Financial Services
2. Application of Generative AI in the Financial Sector
3. Challenges and Risks in Adopting Generative AI
4. Future Outlook and Developments in Generative AI
Keywords:
NVIDIA, AI, computer graphics, financial services, AI applications, generative AI, GTC conference, San Jose, California, GPU, microprocessor, strategy, partnerships, Lighthouse customers, ecosystem partners, hyperscalers, deep learning, financial firms, generative AI implementation, chatGPT, AI technology, accelerated compute platform, data analysis, customer experience, AI adoption, AI infrastructure, executive briefing center, upskilling, AI factory, Jensen's keynote, AI development
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
Should we be worried about what OpenAI said about Sora? What does Google's new video game-playing model mean about agents? (Almost) Every week, we dive deep into the AI news and developments to help you keep up with what really matters.
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Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
01:50 Google DeepMind enters the world of AI agents.
03:56 OpenAI Sora data concerns
09:40 Apple develops multimodal language model in 3 sizes.
14:42 Generative AI breakthrough in smartphone productivity discussed.
20:18 Free GPU chip giveaway
25:36 Inadequate multitasking skills; admiration for AI capabilities.
27:39 NVIDIA GTC AI event with industry leaders and breakthroughs.
Topics Covered in This Episode:
1. Google DeepMind's New AI Model, Sima
2. Scrutiny Around OpenAI's Sora Model
3. Figure 01, by OpenAI and Figure
4. Apple's New Large Language Model, MM1
Keywords:
Figure AI, real-time conversations, ChatGPT, large language model, OpenAI, NVIDIA, GTC conference, San Jose, California, AI advancements, keynote, CEO, AI in financial services, generative AI, robotics, AI-powered transportation, GPU giveaway, Apple, m m one, multimodal large language model, image recognition, natural language reasoning, Google's Gemini, GPT 4, edge computing, on-device AI, Siri, iPhone, former employees of OpenAI, Boston Dynamics, Tesla, Microsoft, humanoid robots, visual recognition, Tesla's Optimus bots, Google DeepMind, Sima, video games, natural language instructions, video game studios, agents, smart AI, SoRA, text to video model, training data accuracy.
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
We always hear how much AI and tools like ChatGPT have helped the everyday person. But besides the day-to-day work, AI can also help those that are neurodivergent. Maureen N. Dunne, Ph.D., Educator, Entrepreneur, and Author, joins us to discuss the positive impact AI has on Neurodiversity.
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Join the discussion: Ask Jordan and Dr. Maureen questions on AI and Neurodiversity
Related Episodes:
Ep 224: AI and its Impact on Society: How it might look
Ep 213: AI Meets Doctors – Turning Healthcare from a Service to a Product
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Timestamps:
01:45 About Dr. Maureen and her work
04:15 Neurodiversity term coined to value diverse perspectives.
08:42 Neurodiversity, biases, and inclusive talent assessment strategies.
11:44 AI aiding cognition and productivity for neurodivergent.
14:28 AI empowering neurodiverse individuals through communication and learning.
17:48 Neurodiversity community valued for unique talents.
23:38 AI's impact on diverse thinking abilities emphasized.
25:36 Embrace neurodiversity and human-AI cooperation for innovation.
Topics Covered in This Episode:
1. Neurodiversity and AI
2. Challenges Faced by Neurodivergent Individuals in the Workplace
3. Positive Impact of AI on Neurodivergent Individuals
4. Future Implementations of AI in the Workplace
Keywords:
neurodiversity, ChatGPT, everyday AI, generative AI, neurodivergent, neurotypical, cognitive biases, inclusivity, workforce, AI integration, AI impact, AI applications, AI limitations, future of work, skill sets, complementary cognition, leveraging AI, organizational inclusivity, artificial intelligence, workplace challenges, productivity, innovation, cognitive diversity, cultural fit, leadership, human resources, cognitive approaches, organizational change, emerging technologies, interdisciplinary thinking
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
There's one secret skill for more effective prompting! It's a skill set that we all have but not recognized as something you can use toward prompts. Even better, we have an OpenAI Ambassador here to help talk about prompting and how to do it effectively. Abran Maldonado joins us to discuss what that secret skill is and how you can use it for better results.
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Join the discussion: Ask Jordan and Abran questions on prompting
Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 194: 5 ChatGPT Facts You Might Not Know
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Timestamps:
01:55 Daily AI news
04:35 About Abran and being an OpenAI Ambassador
08:01 Access to future models, testing, providing use cases.
11:10 Engineers from diverse locations think quickly.
16:31 Proficiency with AI tools and Excel important
20:46 Elon Musk invented Neuralink for brain communication.
26:26 Imposter syndrome, calm down, noncoder perspective.
30:04 Excited for early access to custom GPTs.
30:51 Limiting Internet searching could impact ad revenue.
35:35 New technology levels the playing field.
Topics Covered in This Episode:
1. Abran's role and involvement with OpenAI
2. Secret Skill for Effective Prompting
3. AI and Communication Skills
Keywords:
Custom GPTs, Generative Pre-trained Transformers, personalized learning, department-specific GPTs, AI technology, practical advice, careers, AI news, Siri, Google Bard, OpenAI, AI ambassador, Create Labs Ventures, pandemic, prompt engineering, communication skills, prompt guidance, feedback, AI art, prompt engineering, GPT store, user feedback, Chat GPT, job seekers, AI-related skills, intent understanding, communication assistance, communication challenges, communication styles, AI communication bridge
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AI can be ugly. But it can also be beautiful. Literally. Like when AI is used in the beauty industry. Wayne Liu, President and Chief Growth Officer at Perfect Corp, joins us to talk about how AI is changing the beauty industry.
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Join the discussion: Ask Jordan and Wayne questions on AI in the beauty industry
Related Episodes:
Ep 207: AI Will Allow Us All to Make Music We Enjoy
Ep 213: AI Meets Doctors – Turning Healthcare from a Service to a Product
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
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Timestamps:
01:45 About Wayne and Perfect Corp
05:51 Experimenting with generative AI in fashion simulation.
06:51 Discussion on virtual beauty technology.
09:15 AI and medical education
16:25 AI images shaping societal perception of beauty.
23:54 AI helps choose products suitable for skin.
Topics Covered in This Episode:
1. AI in the Beauty Industry
2. About Perfect Corp
3. Future of AI in the Beauty Industry
4. AI's Broader Medical Applications
Keywords:
AI impact on beauty industry, artificial intelligence, future of AI in beauty, generative AI, leveraging AI, daily livestream podcast, newsletter, virtual try-on, makeup, skin analysis, medical field, deep learning, machine learning, shade matching, skin tone, simulation, GAN, stable fusion, fashion, 3D object, personalization, societal impacts, augmented intelligence, return on investment, user experience, sustainable beauty, responsible AI, social responsibility, education, beauty industry trends.
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One group that can really benefit from generative AI is nonprofits. So what are the barriers, and how can nonprofits leverage this cutting-edge tech while still respecting donor data and keeping trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to discuss how we can use AI responsibly.
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Related Episodes:
Ep 105: AI in Fundraising – Building Trust with Stakeholders
Ep 148: Safer AI – Why we all need ethical AI tools we can trust
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Timestamps:
01:50 About Nathan and DonorSearch AI
05:52 Decreased charity giving, AI aids nonprofit efficiency.
09:39 AI enhances nonprofit efficiency, prioritizes human connections.
13:35 Nonprofits need to embrace AI for advancement.
16:22 Use AI to create engagement stories, scalable.
18:59 Internet equalized access to computing power.
25:02 Nonprofits rely on trust, need responsible AI.
29:52 Ensuring trust and accountability in generative AI.
33:35 AI is about people leveling up work.
34:16 Daily exposure to new tech terms essential.
Topics Covered in This Episode:
1. Impact of Generative AI for Nonprofits
2. Digital Divide in Nonprofit Sector
3. Role of Trust in Nonprofits and responsible AI usage
4. Traditional Fundraising vs. generative AI
5. Future of AI in Nonprofits
Keywords:
Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.
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Jason Feifer says we should use AI to break things. Might sound abrupt. But it’s sound advice coming from one of the leading voices in entrepreneurship and business. So how can we use AI to break things? We give a step-by-step guide.
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Related Episodes:
Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AI
Ep 216: How to stand out in a world filled with AI startups – Insights from Taplio CTO
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Timestamps:
01:30 About Jason and Entrepreneur Magazine
03:15 Break things that are already broken - what it means
09:20 Questioning familiar systems, seeking improvement through change.
11:18 AI tools streamline tasks, freeing time.
14:46 First interactions with AI
18:15 AI opportunities and caution in market focus.
20:23 Develop systems for desired outcomes, AI's role.
25:31 Belief in fixed work, worker ratio fallacy.
26:37 New technology leads to economic shifts and innovations.
30:46 Adapt to change for future job fulfillment.
Topics Covered in This Episode:
1. AI's Impact on Traditional Business Processes
2. Viewpoints on Business and AI
3. Future of AI in Business and Everyday Life
4. Jason Feifer's Stance on AI and its Potential for Transformation
5. Impact of AI on Media Industry
Keywords:
AI, Jordan Wilson, Jason Feifer, antiquated business processes, challenging systems, property managers, generative AI, newsletters, business growth, creative expression, DALL E, Fathom, AI in business, consumer problems, Gartner hype cycle, microwaves, tech layoffs, entrepreneurship in AI, Entrepreneur Magazine, Jason Pfeifer, law, academia, student learning, AI advice, Everyday AI newsletter, job losses, economic shifts, lump of labor fallacy, automation, fast food kiosks.
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AI is going to have a huge impact on society. It already has impacted the labor market and other parts of society. Will AI be more disruptive than we think, or can it be an overpowering force for good? James Hodson, CEO of AI For Good Foundation, joins us to discuss the future of society with AI.
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Related Episodes:
Ep 202: The Holy Grail of AI Mass Adoption – Governance
Ep 206: There is No AI Hype – This is how the world works now
Next Episode: Break Things That Are Already Broken
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Timestamps:
01:40 About James and the AI For Good Foundation
04:33 International organization born from academic and policy community.
07:41 Economic development through technology and infrastructure.
11:01 Rethinking humanitarian aid and leveraging technology's potential.
13:25 Exploring AI's impact and potential economic disruption.
17:04 AI impact on labor market analyzed, adaptation needed.
20:45 Government role in technology shift and regulation.
25:25 Promoting AI audit program for ethical technology.
28:45 Reengaging economists and policymakers for economic shift.
33:17 Community resilience crucial for technology adoption and innovation.
Topics Covered in This Episode:
1. Role of AI in Global Development
2. Community-Driven Development and AI
3. AI's Impact on Labor Market
4. Government Role in AI Implementation
5. Navigating AI-Driven Economic Changes
Keywords:
Artificial Intelligence, Global Development, Community-Driven Approach, Traditional Humanitarian Aid, Technology, International Involvement, Economic Fallout, Labor Market, Data-Driven Revolution, Policy and Decision Making, Rescaling Programs, Investments, Safety Nets, AI-driven Economic Shifts, Universal Basic Income, government assistance, engaging economists, US vs EU approaches, H
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Anthropic just released its new AI model Claude 3 and it's setting impressive standards. Is it better than other models like ChatGPT and Google Gemini? We're breaking down Claude 3 and showing you just how good it actually is.
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Join the discussion: Ask Jordan questions on Claude 3
Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 204: Google Gemini Advanced – 7 things you need to know
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Timestamps:
04:49 Claude 3 beats competitors in technical test.
07:07 Comparison of language models and market competition.
10:58 Math discussion on language model capabilities.
15:51 Opus demo allows interactive chart manipulation.
20:22 Claude, recent knowledge cut-off, warn against hallucinations.
25:13 Discussion about ocean poem and its style.
26:33 Math Riddles
32:13 Image recognition and text extraction capabilities demonstrated.
35:39 Standard business advice, focus on loyal audience.
38:46 Free NVIDIA conference in San Jose, virtual option.
44:07 Claude 3 Opus API improves interactivity and coding.
45:55 Claude 3 vs Chat GPT and Google Gemini
Topics Covered in This Episode:
1. About Anthropic Claude 3
2. AI Model Challenges and Tests
3. Discussion on Claude Opus API
4. Comparison of ChatGPT, Claude 3, and Google Gemini
Keywords:
San Francisco, California, Gen AI startups, funding, investors, valuation, revenue projection, Claude 3, Opus, SONNET, Haiku, task automation, data processing, customer interactions, computer vision, natural language models, NVIDIA conference, marketing plan, Jordan Wilson, Chat GPT, Google Gemini, Anthropic, AI challenges, AI poetry challenge, logic problems, AI newsletters, competitive landscape analysis, Claude Opus API, everyday AI, everydayai.com.
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When we talk about AI jobs, we normally think that AI is just taking our jobs. But that's not necessarily how it's happening in the real world right now. AI jobs are being dispersed all across the US. Anil K. Gupta, Michael Dingman Chair in Strategy, Smith School of Business, The University of Maryland, and Evan Schnidman, Co-Founder & CEO of Outrigger Group, join us to take a look at AI jobs in the US.
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Join the discussion: Ask Jordan, Anil, and Evan questions on AI jobs
Related Episodes:
Ep 132: Enterprise AI – Future Careers and How to Prepare
Ep 106: Using AI to Land a New Career
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
01:40 Daily AI news
04:45 Intro to Anil and Evan and the
06:30 UMD LinkUp AI Map
11:16 Interactive map shows dispersion of AI jobs.
15:35 Key sectors for AI talent: finance, retail.
20:07 AI job growth surprises, emphasizes Washington DC.
23:16 Anil discusses AI's impact on future jobs.
27:18 Upcoming research will cover sectors, skills, geographies.
28:41 Universities can use data to uncover AI opportunities.
32:52 AI job growth expected to accelerate, then plateau.
35:02 Access company career pages for information. Use data portal to find geographical information.
Topics Covered in This Episode:
1. The UMD LinkUp AI Map Project
2. AI Workforce and Labor Market
3. Understanding AI Job Growth in Various Sectors
4. Dissecting the Job Landscape and the Rise of AI Jobs
5. Future of AI Jobs
Keywords:
AI Jobs, AI technology, Artificial Intelligence, Job market, Labor market data, LinkUp, Washington DC, AI job growth, Defense sector, Intelligence agencies, Technology companies, Banking, Insurance, Retail, Consulting firms, Deloitte, Accenture, John Deere, Caterpillar, Heavy equipment industry, UMD link up AI maps tool, Geographic dispersion, IT Jobs, Total employment, AI skills, Silicon Valley, Outrigger Group, UND Link Up AI Maps project, AI workforce, AI job opportunities.
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Elon Musk is suing OpenAI and accusing the company of abandoning its mission in putting the public before profit. Does Elon have a point? Or is this just some useless drama? We're diving in and taking a look.
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Join the discussion: Ask Jordan questions on Elon Musk vs OpenAI
Related Episodes:
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
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Website: YourEverydayAI.com
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Timestamps:
02:35 Daily AI News
03:41 Tech companies prioritize responsible AI development and use.
08:49 Elon Musk raises valid points in lawsuit.
11:36 OpenAI 2015 founding, Musk's 2018 departure.
15:34 AI-powered suite discovers trending topics, creates content.
17:24 OpenAI has multiple layers and investments.
21:27 Elon Musk claims OpenAI breached founding agreements.
25:08 NVIDIA's GTC AI conference, giveaway, new model.
29:09 Elon Musk attacks Google and AI.
30:31 Elon Musk's lawsuit seeks to hinder competition.
34:34 OpenAI's public benefit argument is flawed.
37:23 Investment in profit-making ventures requires secure agreements.
Topics Covered in This Episode:
1. Elon Musk's Lawsuit Against OpenAI
2. Background and Changes in OpenAI
3. Implications of OpenAI's Shift in Focus
4. Reactions and Predictions on the Lawsuit
Keywords:
Elon Musk, OpenAI, lawsuit, for-profit, closed source, artificial general intelligence, profit over humanity, tech companies, responsible AI development, AI startup, Anthropic, Cloud 3 series, AI models, Opus, GPT technology, Microsoft, Google Gemini, Access GPT, non-profit, Jordan Wilson, PR stunt, donatation, corporate structure, 501c3 nonprofit, LLCs, LPs, subsidiaries, breach of contract, GPT-4, NVIDIA
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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
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We're giving away a free YEAR of Taplio, our favorite AI-powered tool to grow on LinkedIn. ENDS tomorrow!
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Figure AI raises $675 million from Big Tech, Elon Musk sues OpenAI, and LTX Studio challenges Pika Labs. Here's this week's AI news that matters and why it's important to you.
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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
Ep 211: OpenAI Sora – The larger impact that no one’s talking about
Tomorrow' Show: What the Elon Musk vs. OpenAI lawsuit actually means
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
03:05 Humanoid robot company Figure raises $675 million
06:40 OpenAI, Microsoft, Bezos, and NVIDIA are key partners for humanoid robots.
10:38 Humanoid robots could bring local manufacturing jobs.
11:45 Elon Musk sues OpenAI
16:37 Debate over Elon Musk's lawsuit against Twitter.
21:32 NVIDIA GTC conference in San Jose, March.
23:20 Lightricks launches LTX Studio - AI video tool
27:31 Challenges in creating consistent AI image tools.
31:00 Cost of new AI tools may rise.
35:40 Generative AI tools produce high-quality lifelike content.
Topics Covered in This Episode:
1. Figure Raises$675 million from Big Tech
2. Elon Musk Sues OpenAI
3. Lightricks releases LTX Studio - AI Video Tool
Keywords:
AI-powered apps, Facetune, Videoleap, LTX studio, AI video making, OpenAI, Pika Labs, lip syncing, AI characters, Alibaba, Emo Video, animated avatar video, Everyday AI, Jordan Wilson, Figures AI, humanoid robots, Azure Cloud Services, robot market projection, lawsuit, nonprofit transition, Elon Musk, Taplio giveaway, NVIDIA GTC conference, NVIDIA GeForce GPU giveaway, manufacturing jobs, LinkedIn for brand growth
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How can we get more women in AI roles? It's an important conversation we need to have, especially in the IT and tech space in the US. Dona Fanara, VP of Women Impact Tech, joins us to discuss how we can rebuild the staffing industry and get more women into AI roles.
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Join the discussion: Ask Jordan and Dona questions on women in AI
Related Episodes:
Ep 127: How AI is Impacting All Aspects of HR
Ep 139: How To Transition to an AI-First World
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:20 About Dona and Women Impact Tech
03:45 Why are tech roles skewed towards men?
09:39 AI roles need strong communication skills, gender differences.
13:45 Gender biases in tech require corporate action.
17:38 Encouraging creation of women-focused tech employee groups.
20:40 Seek practical tips for addressing systemic problems.
23:45 Support early education for women in AI.
Topics Covered in This Episode:
1. Getting More Women in AI Roles
2. Challenge of Gender Imbalance in AI and Tech Roles
3. Traits for Success in AI and Tech Roles
4. Advice for Women Breaking into Tech and AI Roles
Keywords:
women in AI roles, stereotypes, tech and IT roles, US, generative AI, newsletter, artificial intelligence, AI news, website, unbiased information, AI in career, AI in sales, AI in entrepreneurship, rebuilding the staffing industry, women in AI roles, Women Impact Tech, corporate partnerships, talent solution company, regional events, Chicago, San Francisco, New York, virtual events, membership program, job board, bias, technical roles, global, men, women, leadership roles, technologists
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If you want better AI images and videos, sometimes you have to roll the dice and play the probability game. But you don't have to do it blindly. Tianyu Xu, Founder of TYAI, joins us to share secrets on how you can get better AI image and video results.
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Join the discussion: Ask Jordan and Tianyu questions on AI visuals
Related Episodes:
Ep 198: Midjourney V6 – What’s new and producing powerful ad creatives
Ep 157: Future of AI Video – Pika Labs 1.0, Runway updates, Meta Emu, and more
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:30 Daily AI news
04:15 About Tianyu and TYAI
09:44 Tianyu discusses starting simple with natural language.
14:24 Text-to-video models can generate short films.
18:23 Experiment with camera settings to optimize motion.
20:15 Using AI video generators to speed up processes.
24:43 Experiment results favor tilt up movement for video.
27:29 Creative rights ownership.
35:22 Emphasizing creativity and accessibility in utilizing technology.
Topic Covered in This Episode:
1. Unpredictability of generative AI visuals
2. Process of generating AI images and videos.
3. Organizing media outputs and importance of creative rights
4. Limitations and challenges in AI video and images
Keywords:
Generative AI, Image/Video Categories, Successful Images, Marketing Videos, AI Technology, Creativity in Businesses, Gradual Process, Pica Labs, Video Generation, Parameters, Video Quality, Consistency in Movement, Everyday AI, Open Source Language Model, Offensive AI results, Gemini AI, OpenAI, Copyright infringement, Market Research, Large Language Models, Text-to-Video Methodology, OpenAI Sora Model, Visual Projects, Prompts Reuse, Creative Rights, Embedding Text in Images, AI Limitations, CGI Animation, Long-Term Projects, Experimentation
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Win a free year of ChatGPT or other prizes! Find out out.
You're using ChatGPT wrong. Sorry, but it's the truth. We'll tell you what you're doing wrong and cover everything we know about ChatGPT as of today. We're going over the 7 steps on how to actually use ChatGPT in 2024.
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Join the discussion: Ask Jordan questions on ChatGPT
Related Episodes:
Ep 194: 5 ChatGPT Facts You Might Not Know
Ep 179: Mastering Prompts With An OpenAI Ambassador – The One Secret Skill Revealed
Tomorrow' Show: Roll the dice: Winning the probability game in AI visuals
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
03:40 Chat GPT high-level overview
08:39 Access existing GPTs, utilize ChatGPT Vision.
13:15 ChatGPT is superior to other language models.
16:22 Tokenize text, emphasizes need for communication clarity.
29:57 Experts caution against inadvertent use of GPT.
32:38 User highlights concern over ChatGPT's memory.
38:51 Grow brand on LinkedIn with Taplio efficiently.
44:05 Large language model gobbles up low-quality information.
50:12 Comparing expert chat training with GPT training.
53:07 Altman discusses improving GPT's reasoning abilities for future versions.
58:05 Enterprise versions handle data differently. Be cautious.
Topics Covered in This Episode:
1. Understanding ChatGPT
2. New Features in ChatGPT
3. Data Privacy and Security in ChatGPT
4. Future Directions and Advancements in Large Language Models
Keywords:
ChatGPT, Large language models, Tokenization, Generative AI, AI education, Business operating system, AI tool, Automating tasks, Everyday AI, Open AI, Google, Microsoft, Memory recall, Prompts, Plugins, New features, GPT store, ChatGPT Vision, Browse with Bing, Data analysis feature, Teams mode, Document upload, Memory personalization, GPT 4 Turbo, DALL E, Multi-modal default, Bing, Generative AI for business growth, Enterprise versions, Confidential data.
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Everyone's an AI-powered startup nowadays. So how can you actually stand out and build a product or service that matters? Tibo Louis-Lucas knows a thing or two about building successful companies. He co-founded both Taplio and Tweethunter, two Saas products powered by AI that were sold for over $10 million. So how can your product or service stand a chance when just about everyone's an AI company? Let's dive in.
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Join the discussion: Ask Jordan and Tibo questions on AI and startups
Related Episodes:
Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AI
Ep 126: Real Business Use Cases for AI
Tomorrow' Show: 7 steps on how to ACTUALLY use ChatGPT in 2024
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:00 Daily AI News
04:45 About Tibo and Taplio
07:15 Building Taplio
13:06 Unconventional partnership approach for growth.
15:30 Excitement for creator economy, small product acquisitions.
18:00 AI's capabilities and impact on startups
22:14 Pressure to keep up with rapid AI changes.
24:10 Opportunities for automation in companies, social media.
Topics Covered in This Episode:
1. Leveraging AI in Startup Development
2. Successfully Building and Growing AI Startups
3. The Future of AI and Potential Product Development
4. Key Advice for Young Entrepreneurs
Keywords:
AI startup, stand out, generative AI, livestream, podcast, newsletter, Microsoft, Azure AI, Mistral, partnership, OpenAI, TechCrunch, European Commission, Apple, wearables, smart glasses, AirPods, Bloomberg, innovation, tech, science, culture, 11 Labs, Perplexity, Discover Daily, Tivo Louis Lucas, CTO, Taplio, tweet hunter, Lemnist, products, startups, video editing software, visualization AI.
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ChatGPT Plugins are on their way out! Tyler Perry is putting his studio expansion on hold due to AI, and Google is making TONS of news right now! Here's this week's AI news that matters and why it's important.
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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Ep 204: Google Gemini Advanced – 7 things you need to know
Tomorrow' Show: How to stand out in a world where everyone can create an AI Startup?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
03:42 Tyler Perry concerned about AI job loss.
07:22 OpenAI Sora video excels over other platforms.
12:54 11 Labs updated model, ChatGPT phasing out.
15:27 Plugin packs for ChatGPT.
16:55 Limitations on using multiple GPTs for now.
22:16 Unsatisfied with Google Gemini Enterprise integration.
23:13 Google and Reddit partnership for language models.
28:39 Google Gemini Images paused due to diversity concerns.
31:16 Google now has three Gemini models.
34:54 Best text-to-speech AI
37:11 AI content creation raises copyright concerns
Topics Covered in This Episode:
1. OpenAI's changes and future focus
2. Google's Significant AI content deal with Reddit
3. Google's AI model developments and issues
4. Trends in AI utilization within the entertainment industry
Keywords:
OpenAI, GPT, AI agents, AI assistants, prime prompt polish program, Google, Reddit, AI content licensing deal, AI models, search engine, Gemini AI, large language models, user-generated content, university student data, Google Gemini Imagine 2, Gemma, Gemini Ultra, Gemini Pro, Gemini Nano, Tyler Perry, Sora, AI in entertainment, text-to-speech AI, business productivity, ChatGPT plugins, Well Said Labs, Asura, AI video platforms, Perry's studio expansion, AI regulation
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When it comes to using AI, there's no limit to the ways businesses can use it for growth. But there probably should be some limits on how you implement AI. There's ethical considerations that you should keep in mind when using AI. Kelly Dowd, Senior Consultant, Innovation Lab at KPMG, joins us to discuss how to balance the ethics and innovation of AI.
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Join the discussion: Ask Jordan and Kelly questions on AI and ethics
Related Episodes:
Ep 165: Ethical Leadership for AI Implementation in the Workplace
Ep 138: AI for Good – Strategies for Ethical and Sustainable AI Development
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:40 Daily AI News
04:40 About Kelly and KPMG
07:15 Companies adapting to AI
12:36 Companies embrace AI for effective, equitable hiring.
16:49 Technology adoption speeds up processes, requires transparency.
18:14 Communicate transparently, collaborate, and build ethical framework.
25:13 GDPR and CCPA provide control over personal data.
28:17 Assessing client's business, advising on AI adoption.
30:47 Government anticipation for ethical AI
Topics Covered in This Episode:
1. Essential Key Factors for AI Adoption
2. Personalization in Customer Experiences
3. Addressing Regulations in Different Regions
4. KPMG’s Approach Towards AI Adoption
5. Recommendations for Ethical AI Adoption
Keywords:
Kelly Dowd, Jordan Wilson, transparent communication, customer expectations, data collection, AI adoption, collaboration, regulatory bodies, AI experts, ethical framework, governance, GPT course, personalization, customer experiences, AR system, Sephora, privacy, ethics, data protection, GDPR, CCPA, KPMG, AI strategy, industries adopting AI, tech, healthcare, aerospace, fashion, generative AI, COVID-19 pandemic, business adaptation, Pentagonia, IBM, small and medium-sized businesses, customer-centric approach, stakeholders, transparency, Stable Diffusion 3, Stability AI, Apple, Chat GPT plugins, OpenAI, Innovation Lab.
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What does the future of healthcare look like with the constantly growing world of GenAI? Will there be doctors? Are future doctor offices going to be run by AI? Adrian Aoun, Founder and CEO of Forward, joins us to discuss how AI is transforming Healthcare from a service to a product.
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Join the discussion: Ask Jordan and Adrian questions on AI and healthcare
Related Episodes:
Ep 199: Maximizing The Effectiveness of AI in Health Care
Ep 111: How AI is (and Will Be) Used in Healthcare
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
01:40 Daily AI News
05:05 About Adrian and Forward
06:51 Healthcare scaled by technology with data-driven treatment.
10:09 Health care system is not effective, disappointing.
16:18 Innovation in tools for doctors is crucial.
18:52 Giving up privacy could lead to longevity.
22:54 Forward enables rapid iteration and innovation.
24:57 Healthcare disparities.
28:25 Adrian's takeaway
Topics Covered in This Episode:
1. Evaluation of the US Healthcare System
2. Potential of AI in Healthcare
3. Insights into the Forward Platform
4. Future of Forward
5. Speculation on the future of AI and Healthcare
Keywords:
Adrian Aoun, Google, AI in healthcare, hub and spoke model, US health care system, technology in health care, proactive care, Jordan Wilson, Everyday AI Show, ethical considerations of AI, doctor and AI combination, privacy concerns in healthcare, prevention in healthcare, Forward's platform, mobile computing revolution, healthcare disparities, Forward clinics, CarePods, insurance and healthcare, home healthcare services, robot doctors, nurse-less healthcare facilities, Google's Gemini AI, NVIDIA earnings, dangers of deep fakes, OpenAI's Chat GPT, AI-driven healthcare pod, data in healthcare, treatment paths, employer-based health care.
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Quality content can be hard but generative AI can help. One of the most underused aspects of GenAI is using it to take your voice and style and create multiple pieces of content. Blaine Bolus, Co-Founder of Castmagic, joins us to discuss how you can use AI and your voice/style to create a content machine.
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More on this Episode: Episode page
Join the discussion: Ask Jordan and Blaine questions on AI and content
Related Episodes:
Ep 187: Canva Magic Studio – Revolutionizing AI Design
Ep 207: AI Will Allow Us All to Make Music We Enjoy
Tomorrow' Show: AI Meets Doctors: Turning Healthcare from a Service to a Product
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:00 Daily AI News
05:00 About Blaine and Castmagic
08:45 Content creation essential for business growth and trust.
13:08 Content strategy, channels, authenticity, tone, and leverage.
16:52 Reverse engineering writing style with content samples.
20:18 Stand out with unique content and system.
22:58 AI writes show notes, emails, newsletters, social posts.
27:18 Build media library, enrich user experience, workflows.
31:29 Leverage AI with intention for authenticity.
Topics Covered in This Episode:
1. Building a successful content engine with AI
2. About Blaine and Castmagic
3. Leveraging AI in content creation
4. Castmagic’s functionality in content creation
Keywords:
Blaine Bolus, Jordan Wilson, Everyday AI podcast, AI content, authenticity, trust building, podcasting, human voice, AI for businesses, context, strategy, tone matching, AI-generated content, generative AI, KVA, Adobe Research, META, Mark Zuckerberg, AI-powered wristband, Anthropic, Amazon, Cast Magic, content assets, video content, content processing, AI in healthcare, workflows, Chat GPT, media library, content creation
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OpenAI released its new text-to-video model Sora. Everyone has been talking about how extremely impressive the video output is. And IT IS. But, there's something much larger going on with Sora that no one is talking about.
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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on OpenAI's Sora
Related Episodes:
Ep 209: AI as a Creativity Enhancer, not a Creativity Replacement
Ep 198: Midjourney V6 – What’s new and producing powerful ad creatives
Tomorrow' Show: Your Voice + Your Context: How To Scale A Content Engine With AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:15 Daily AI News
08:30 About OpenAI's Sora
16:03 Example of Sora content
20:03 Detecting real vs fake media is challenging.
23:23 Is AGI a realistic development in tech?
26:08 OpenAI's agents perform device control and actions.
32:01 New GPT 4 turbo version released last week.
35:39 AI-generated document looks closer to real video.
38:40 Big companies balance cost with model quality.
41:16 Altman and OpenAI leading in AGI push.
47:25 Generative AI reshaping economy faster than predicted.
48:46 Tech world understanding leads to inevitable acquisition.
51:24 Meta and tech titans need strategic acquisitions.
Topics Covered in This Episode:
1. Detailed Examination of Sora’s Technology
2. Comparison of AI Art Technologies
3. The Push towards Artificial General Intelligence
Keywords:
OpenAI, Sora, Runway Gen 2, Artificial general intelligence (AGI), Martech communications, Video production, GPT models, DALL E, Real-world scenarios, World simulator, Compute power, Will Smith, Training models, Human interactions, Large language models, Cost and quality, Sam Altman, Microsoft partnership, Pica Labs, Meta, Google, Text to video platforms, Music creation, Code writing, Industry domination, Technological advancements, Tech titans, AI startups, Everyday AI, Responsible use of AI.
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The last 7 days of AI news have been crazy! OpenAI announced its amazing text-to-video Sora, Gemini released Ultra 1.5, NVIDIA's Chat with RTX, Andrej Karpathy leaves OpenAI, and more! Here's this week's AI news that matters.
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Read the newsletter on this episode: Read it here
Related Episodes:
Ep 204: Google Gemini Advanced – 7 things you need to know
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
Tomorrow' Show: OpenAI's Sora: The larger impact that no one's talking about.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
02:40 OpenAI text-to-video model Sora
07:50 Gemini 1.5 update: Developer and enterprise access.
15:19 NVIDIA's Chat with RTX
19:18 OpenAI announces 2 new AI agents.
21:12 OpenAI and Sam Altman's ambitious plans.
25:21 Tech companies form unofficial accord to avoid penalties.
29:14 Discussion on AI models and election safety.
31:18 AI companies shift data acquisition to formal agreements.
33:56 Potential impact of AI on publishing industry.
Topics Covered in This Episode:
1. OpenAI's Sora
2. Google Gemini 1.5
3. NVIDIA Chat with RTX
4. Andrei Kapathy's departure from OpenAI
5. Reddit's AI content deal
Keywords:
Large language models, Star Wars, token memory, ChatGPT, Google, Gemini Ultra 1.5, NVIDIA, Chat with RTX, Andrei Kapathy, OpenAI, generative AI, Everyday AI, OpenAI SOAR model, AI legislation, social media regulations, disinformation/misinformation, 2024 US elections, Reddit, AI content deal, AI companies, content providers, SORA, text-to-video model, Entre Kuparthy, Tesla, AI agents, Sam Altman, GPU chips, deep fakes.
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Can AI replace our creativity or is it there just to enhance it? How can it help someone go from a 5 to a 10 in creativity? Paul Eder, Strategy and Data Consultant, joins us to discuss how AI is changing the way we perceive creativity.
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Timestamps:
01:40 Daily AI news
05:00 About Paul and his work
08:36 Confusing speed with creativity in AI creation.
10:53 Skeptical of AI's usefulness in improving coding.
15:51 AI replacing employees, fear of being replaced.
17:39 Trust, authenticity crucial in building online presence.
21:53 Diverse skills enable new opportunities in coding.
26:43 Discussing creativity, AI, and advice for creators.
Topics Covered in This Episode:
1. Paul Eder's Perspective on AI and Creativity
2. Impact of Generative AI on human content
3. Exploration of Creativity Affect and AI
4. Legal Aspects of AI
Keywords:
AI, watermark attribution enforcement, fair use, educational purposes, legal system approach, copyright infringement, IP, watermarks, generative AI, school curriculums, AI content detection, creativity, Everyday AI newsletter, Jordan Wilson, Anthropic, chatbot, Claude, Google, Gemini 1.5, OpenAI, Sora, text-to-video model, Paul Eder, data poet, large language models, workforce, storytelling, prompt engineering, supervisor creativity, AI course.
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It seems like we just started to understand large language models. But now all the talk is about small language models. So what are they and how do they compare to LLMs? We explain small language models and their future.
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Timestamps:
02:30 Daily AI news
07:57 Large language models are powerful and versatile.
12:03 Large language models are complex, expensive
15:39 Small language models are faster and efficient.
18:51 NVIDIA announces local small language model.
21:54 Small language models are efficient for specific tasks.
29:33 Samsung and Google teaming up for Gemini Nano.
30:25 Small language models support data integration securely.
35:10 New devices needed to run language models.
Topics Covered in This Episode:
1. Introduction to Language Models
2. Advantages and Usage of Small Language Models
3. Comparison of Small and Large Language Models
4. Future of Small Language Models
Keywords:
large language models, small language models, Gemini Nano, S 24, Apple, Meta, ChatGPT, workspace accounts, plug-in packs, Microsoft Surface, bad information, prompt engineering, chatbots, search engines, voice assistants, cloud-based services, Samsung, Google, Meta's llama models, NVIDIA's chat with RTX, retrieval augmented generation, Everyday AI Show, Salesforce, Slack, AI animation tool, Keyframer, Goose, parameters, GPT 4, Gemini Ultra
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When we talk about GenAI the focus is always on text to text, text to video, or text to image. But text to music is a really cool and underrated part of GenAI's capabilities. Mikey Shulman, CEO of Suno, shows us how AI is changing the way we create and listen to music.
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Timestamps:
01:45 Daily AI news
05:35 About Mikey and Suno
08:15 People sharing music, whimsical moments, and outlets.
13:01 Impact of generative AI on music industry?
16:22 Adapting language model techniques for music creation.
19:31 Valentine's Day opportunity to make personalized song.
21:24 Building GPT audio - hard work, fulfilling progress.
28:04 Wedding surprise, platform style prompts question.
30:09 Music creation encourages active participation and creativity.
Topics Covered in This Episode:
1. Understanding AI-generated music
2. The impact of AI on the music industry
3. Exploring AI potential in music creation
4. Using the Suno platform
Keywords:
music technology, text to music, musical tastes, music creation platform, artificial intelligence in music, AI-generated melody, AI copyright, music careers, AI-generated love song, multilingual, beats per minute, Suno platform, free plan, AI in music future, Jordan Wilson, everyday AI, Springfield, Illinois, interactive AI-generated music, personalized music, generative AI, text to music episode, AI news, NVIDIA, Open AI, ChatGPT, Suno music company, active engagement with music, positive reactions to Suno.
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Can we stop talking about the "AI hype?" We're two years past the AI wave and AI is more prevalent than ever. There is no more AI hype. AI is just a part of the way we work now. Here's why.
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Timestamps:
03:15 Daily AI news
08:42 Generative AI's accessibility drives recent rapid growth.
10:49 Gartner hype cycle tracks technology evolution.
14:48 Comparison of technological innovation over three decades.
19:40 Tech giants invest billions in generative AI.
20:34 Apple invests billions in AI development and acquisitions.
26:57 Generative AI revolutionizes technology, compared to historical innovations.
29:01 Language models making groundbreaking scientific discoveries.
31:56 New technology offers high potential for writers.
37:41 AI enables career growth.
Topics Covered in This Episode:
1. Comparisons between Generative AI and the Internet era
2. The importance of understanding and keeping up with AI
3. The shift in powerful industries
4. The Current Economy's AI Focus
5. Generative AI Hype Cycle
Keywords:
Generative AI, Artificial Intelligence, AI development, Gartner hype cycle, Peak of inflated expectations, dot-com era, economic impact of AI, Jordan Wilson, AI misconceptions, AI skepticism, AI in business, big tech investment in AI, US tech companies, cloud computing, Microsoft, Google, Meta, NVIDIA, business process transformation, AGI, AI engineering, autonomous systems, paradigm shift, industrial revolution, AI knowledge and expertise, AI iteration, Everyday AI podcast, AI threatening jobs, language model improvement, GTC conference
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OpenAI shifting towards AI agents, Google Bard is dead, Gemini Ultra, AI Super Bowl commercials, and more! Here's this week's AI news that matters!
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Timestamps:
03:39 OpenAI developing agents and artificial general intelligence.
11:20 Google Bard replaced by Gemini
16:30 Google Gemini struggles with real-time data accuracy.
18:40 Sam Altman seeks $7 Trillion for AI chips
24:45 Lawsuits filed over AI art companies for copyright
27:35 New AI Smart Glasses
30:30 Super Bowl AI-related ads
Topics Covered in This Episode:
1. Discussion on OpenAI
2. Google's AI Products
3. Legal Challenges for AI Industry
4. New AI Technology and Commercial Promotion
Keywords:
AI advancement, image manipulation, photography, Minions, Body Armor, anti-artificial stance, CrowdStrike, AI-powered cybersecurity, Gift mode, AI news updates, Everyday AI Show, career growth, business growth, OpenAI, AI agents, GPT-4, AI art companies, copyright lawsuits, Brilliant Labs, smart glasses, Frame, Microsoft, AI, Copilot, Super Bowl ad, Google Pixel 8, guided frame, AI accessibility features, Google Gemini Ultra
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Did Google just release a ChatGPT killer? Google's new Gemini Advanced is their paid offering to the free Gemini (previously Bard). Is it really advanced? We're diving in and taking a look at Gemini Advanced and comparing it to ChatGPT.
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Timestamps:
02:20 Daily AI news
07:20 About Google Gemini Advanced
13:04 Gemini Ultra free for 2 months.
16:26 Difficulty accessing Google Workspace account for Gemini.
20:27 People interact with large language models informally.
23:01 Gemini advanced offers enhanced features for users.
26:18 Use Google for latest election information confusion.
29:34 Google's AI unaware of recent events. Disconnect from real-time.
35:56 Big companies using digital watermarks to combat AI-generated misinformation.
39:25 Gemini Ultra outperformed all models on MMLU.
43:21 Final thoughts
Topics Covered in This Episode:
1. Launch and Access to Google Gemini Advanced
2. Features of Google Gemini
3. Performance and Comparisons
4. User Feedback and Experiences
5. Issues with Google Gemini
Keywords:
Gemini Ultra 1.0 model, benchmarking, free two-month trial, Google search, real-time events, Chat GPT, Google Workspace accounts, AI content, Jordan Wilson, Google's AI system, Gemini, Super Bowl, US primary election, New Hampshire, prime prompt polished chat GPT course, Everyday AI Show, Google Gemini Advanced, AI industry news, Midjourney's website rollout, FTC's ban on AI robocalls, OpenAI's development of agents, testing experience, Gemini Advanced querying, large language models, Anthropic's Claude 2.1, Microsoft's Copilot, GPT 4, digital watermark, Gemini app for Android, Google iOS app
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If you want your company to compete on a global stage, you need to be able to speak to global customers. It's something that we may overlook but there's a whole industry dedicated to translation. Olga Beregovaya, VP of AI at Smartling, joins us to discuss how AI is changing the translation space and its effects on related jobs.
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Timestamps:
02:00 Daily AI news
04:25 About Olga and Smartling
06:57 Translating content globally involves technology and linguists.
12:54 Large language models successfully deployed for multiple applications.
14:32 LLMs and machine translation have pros and cons.
19:45 Rapid changes in translation industry due to AI.
22:16 Ethical considerations in translation demand heightened vigilance.
23:38 Ensure ethical AI deployment through training data.
29:45 AI in language used for production and vetting.
Topics Covered in This Episode:
1. Role of AI in Translation
2. Large Language Models in Translation
3. Change of Jobs in the Translation Industry
4. Ethical Deployment of AI
Keywords:
AI in translation, job opportunities, democratizing translation, insufficient training data, reskilling, personalized language learning, learning disabilities, vetting language accuracy, Smartling, global communication, multilingual capabilities, large language models, generative AI, machine translation, fluency, idioms, metaphors, context, subject matter expertise, fact-checking, validation, project management, data analysis, ethical AI deployment, language bias, prompt engineering, strong language skills.
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AI Governance is a tricky topic that no one seems to know how to approach. There can be many roadblocks or hurdles before properly implementing governance for AI. Gabriella Kusz, Sr. Fellow at AI2030, joins us to discuss how to create governance for AI mass adoption.
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Timestamps:
01:30 Daily AI news
05:00 About Gabriella and AI2030
08:44 Challenges with AI technology and governance issues.
12:02 Rapid pace challenges global technical standards creation.
13:26 Ethical AI guidance is available from Fintech.
16:41 Draw parallels between ESG and responsible AI adoption.
22:33 Industry self-regulation precedes formal laws in societies.
26:00 Inclusion and multidisciplinary team crucial for governance.
27:57 Clear boundaries for leveraging technology for advantage.
33:29 Recognize failures, iterate, and empower AI progress.
36:00 Set up task force, admit setbacks, progress.
Topics Covered in This Episode:
1. Role of corporations and Government in AI Governance
2. Organization's Governance Structure
3. Risks of AI and Generative AI
4. Practical Tips for AI Governance
5. Ethical and Global Technical Standards
Keywords:
ESG, AI, Artificial intelligence, Emerging areas, Pilot period, Return on investment, Risk identification, Risk mitigation, Governance, Legislation, Change management, Generative AI, Inclusion, Education, ongoing learning, Technology usage, Ethical standards, Global technical standards, Fintech for Good, AI 2030, NIST, Taskforce, Failure in AI implementation, Self-education, AI governance, AI applications, Business growth, AI news.
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Apple's new Vision Pro has been the buzz all over the internet. But is it something that everyone should have or just an AI tool that no one really needs? The Vision Pro is Apple's first AI product and we're diving in to learn more about it and see if it's worth it.
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Timestamps:
02:20 Daily AI news
08:04 About the Apple Vision Pro
10:20 Use cases and features
13:28 Siri integration with large language model: future potential.
18:16 Concerns about affordability compared to Meta Quest 3.
20:52 Many headsets been around for a while.
25:14 Mixed audience response to company's metaverse plans.
26:47 Humans wanting more face-to-face interaction post-pandemic.
30:35 Discussion of recent economic impacts on tech.
33:17 Smartphones over Apple Vision Pro.
Topics Covered in This Episode:
1. Overview of Apple Vision Pro
2. Isolated market for Apple Vision Pro
3. Practical drawbacks of Apple Vision Pro
4. AI market's reaction to Apple Vision Pro
Keywords:
Apple Vision Pro, Meta Quest 3, expensive, Apple's previous products, isolating, developers, business use case, metaverse world, big cities, practical drawbacks, limited battery life, weight, stock performance, AI companies, smartphone distraction, hands-free user interface, eye and hand tracking, 3D video, augmented reality apps, MacBook, screen projection, artificial intelligence, eyesight system, user navigation, neural engine, generative AI, tech elite.
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We made it to 200 episodes! Woohoo! To celebrate, we're giving you 200 facts, stats, and even our hot takes on everything GenAI. Thanks for all the support and love!
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Timestamps:
00:00 Welcome to episode 200
07:16 Large language models - Early GenAI movers gaining market share.
15:39 Biden's AI order, Amazon Rufus, Google's achievements.
20:00 Large language model can lead to hallucinations.
23:09 Daily coverage of generative AI, new products.
29:07 Generative AI transforms various prompts into output.
33:52 Hugging Face is open source ChatGPT alternative.
41:02 EU AI Act, Hiroshima process, White House resources
48:14 Public companies must disclose data online, especially language models.
53:30 Large language models can cause hallucinations.
57:06 New technology will outpace Gemini Ultra
01:01:40 Big tech companies prop up US economy.
Topics Covered in This Episode:
1. The Growing Presence of AI in Various Fields
2. Concerns and Predictions about AI
3. Economic Impact of Gen AI
4. Updates and Developments in AI Technology
5. Risks and Considerations in AI Implementation
Keywords:
AI video models, Runway, Pika 1.0, Google, Meta, Gemini Ultra, GPT-5, AI workforce shortage, Generative AI, AI disinformation, US AI legislation, Gen AI global economy, AI automation, GPT experts, AI language models, AI deepfakes, Generative AI cost cutting, AI in healthcare, AI in climate change, OpenAI revenue, Articulate AI, Microsoft Copilot Pro, AI job disruption, AI Governance, AI financial stability risk, AI in nuclear weapon systems, AI opportunity agenda, AI chatbot, AI robot CEO, AI-driven marketing insights.
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How can the medical field fully maximize the effectiveness of AI? The advancements of AI in Health Care are already revolutionizing the tech used and the care we receive. Jesse Ehrenfeld, MD, MPH, President of the American Medical Association, joins us to talk about AI's impact on Health Care.
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Timestamps:
01:20 Daily AI news
04:00 About Jesse and the American Medical Association
09:00 Challenges in regulating AI in heathcare
13:22 AI platforms with flexible use cases emerging.
17:09 AI's role in healthcare post-COVID and burnout.
22:07 HIPAA and data ethics in healthcare future.
25:30 AI used for administrative work in healthcare.
26:40 Fascinating insights on AI impact in medicine.
31:16 Recognize AI limitations and use it wisely.
Topics Covered in This Episode:
1. AI Innovations in Healthcare
2. Implementation Challenges and Concerns
3. The Impact of AI on Healthcare Professionals
4. The AMA's Principles and Guidelines for AI Use
Keywords:
AI in healthcare, Virtual nurse technology, Administrative simplification, Image interpretation, Data protection, Innovation ecosystem, AMA online platform, Ethical use of AI, Regulatory framework, AI hearing assistive technology, Ambient dictation technology, Voice dictation in healthcare, Large language models, Jordan Wilson, Dr. Jesse Ehrenfeld, Physician burnout, Workforce crisis in healthcare, Augmented intelligence, Electronic health records, Patient data protection, Health data privacy, Personalized AI models, AI podcast, Former Google DeepMind researcher, AI startup, Amazon AI shopping assistant, Apple's AI offerings, AI algorithms in insurance, Public health improvement, AMA's mission.
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AI has changed the creative advertising game. One AI powerhouse tool helping to push the future of art and creatives forward is Midjourney. Rory Flynn, Founder of Systematiq Ai, joins us to discuss what's new with Midjourney and how you can create powerful ad creatives.
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Timestamps:
02:00 Daily AI news
04:25 About Rory and Systematiq Ai
07:42 Who should use AI art tools?
09:42 Discussing the improvement of AI-generated art
14:38 Visual differentiation key in marketing, use AI.
19:24 Detailed, professional video, a scroll-stopping social media visual.
20:25 Experimenting with photography on a small budget.
25:53 Importance of detailed prompts for generative AI.
29:17 Using AI for ad creative localization importance.
31:03 Discussion of consistent styling in photo set.
34:37 Studying and emulating styles in commercial art.
37:10 Collaborating, merging brands to create campaign mood.
42:22 Adobe offers useful features for design work.
43:46 AI can optimize ads, value in performance.
47:27 Questioning impact of creative tools like Vision Pro.
Topics Covered in This Episode:
1. Understanding AI Art
2. Application of AI Art in Business
3. Responsible use of AI-Generated Imagery
4. Creating AI-Generated Ad Creatives
5. The Future of AI in Ad Creative
Keywords:
AI art, AI-generated images, DALL E, MidJourney, Rory Flynn, Systematic AI, Vision Pro from Apple, Runway, Adobe Illustrator, AI in advertising, ad creative, version 5.2, localization, tone specificity, commercial use of AI, AI tools, generative AI, copyrights and AI, AI news, AI in healthcare, AI newsletters, AI-enabled biological creation, AI regulations, AI in business operations, AI for visual content creation, midjourney v six, Kanye West's AI usage, prompt handling in AI tools.
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Implementing generative AI in your business is one of the hottest topics today. Everyone is trying to figure out how to add GenAI. We've talked to more than 120 experts and leaders across the world spanning from enterprises to startups and entrepreneurs. We're laying out the blueprint for how you can add GenAI to your business today.
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Timestamps:
02:00 Daily AI news
06:20 Experienced in growing companies of all sizes
11:45 AI not fully implemented yet
19:13 Generative AI changing workforce dynamics, impact discussion.
21:32 Rapidly adapt to online business, seek guidance.
31:19 AI guardrails and guidelines
34:25 Companies overcomplicating generative AI, driven by peer pressure.
37:45 Focus on measurable impact in AI projects.
45:17 Leverage vendors and experts for AI education.
51:48 AI may replace jobs - plan for future.
54:48 Ethical AI implementation involves human and AI cooperation.
01:00:42 Culmination of extensive work to simplify generative AI.
Topics Covered in This Episode:
1. AI in Business
2. Implementing AI
3. AI Guidelines and Guardrails
4. Practical Application of AI
Keywords:
AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, EU AI Act, Hiroshima AI process, National Institute of Standards and Technology, Retrieval Augmented Generation, Podcast sharing, AI statistics, Transparency in AI, Bottom-up approach, McKinsey and Company research, AI impact on work, Everyday AI Show, Microsoft, OpenAI, Figure AI, Neuralink, Elon Musk, Telepathy chip, GPT mention feature, Small AI projects.
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There's one specific reason why so many companies aren't fully leveraging AI. It's a lot easier to solve than you think. We're talking about the silent AI productivity killer and how companies can take full advantage of AI.
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Timestamps:
02:00 Daily AI news
08:15 Modern technology moves too fast for training.
12:05 Use internet like you use generative AI.
13:40 Adapt to AI or face consequences, company.
17:00 73% concerned about insufficient organization training.
23:09 Big companies failing to implement proper training.
28:49 CRMs improved business, generative AI offers equality.
31:25 Tier 1: Big tech, huge AI companies. Tier 2: First adopters, large consulting companies.
34:15 Small businesses have advantage leveraging generative AI.
37:50 Lack of AI guidelines in most companies.
42:20 Tech companies must train employees on data privacy.
45:05 77% integrating AI, only 4% fully implemented.
49:00 Departments lacking measurement mechanisms, AI implementation low.
Topics Covered in This Episode:
1. The obstacle in leveraging AI
2. Issues with AI education and training
3. Need for generative AI adoption
4. Leadership's role in AI education and implementation
Keywords:
Generative AI, AI training, AI education, AI technology, AI news, Yelp's AI, OpenAI, Meta, IBM, Microsoft, Google, Amazon, NVIDIA, AI documentation, AI misinformation, AI industry, AI giants, AI implementation, Deloitte AI statistics, AI Summit New York, business tiers, consulting firms, small and medium businesses, AI leadership, responsible AI use, data privacy, large language models, AI newsletter.
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FTC investigating Big Tech, Apple's AI and LLM advancements with Siri, Google's new video model and more! We're going over the AI news that matters and why it's important.
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Timestamps:
02:45 OpenAI releases GPT mentions
06:24 Utilize GPT to automate coding and development.
10:10 FTC investigating large partnerships for competitive impact.
11:02 Microsoft invests in OpenAI with FTC concerns.
16:29 Apple reportedly testing OpenAI's ChatGPT API.
20:59 Edge AI brings improved memory to smartphones.
24:45 Development of impressive AI models in tech.
26:10 2024: Year of advanced image modeling technology.
30:23 Large companies using public domain art for marketing.
33:45 Access to tech giants with valuable insights.
Topics Covered in This Episode:
1. OpenAI's New GPT Mentions Feature
2. FTC's Investigation of Big Tech Companies
3. Apple's Upcoming Generative AI Capabilities
4. Google's New AI Video Model, Lumiere
5. Samsung's AI Developments
Keywords:
Apple, generative AI, edge AI, Samsung s 24, iOS 18, iPhone, smart assistant, Google, Lumiere, AI video model, 2024 video model year, ChatGPT, FTC investigation, big tech AI companies, Amazon, Microsoft, Anthropic, OpenAI, AI investments, AI partnerships, AI-generated photos, personalized marketing videos, text-to-video capabilities, tech regulation, AI productivity challenges, GPT mentions, AI in healthcare
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There's a lot of things that you have wrong about ChatGPT. Whether it's the way you use it or what you understand ChatGPT to be, there's some things you should know to properly leverage it. We're giving you 5 ChatGPT facts you might not know.
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Timestamps:
01:50 Daily AI news
06:57 Everyday AI approach to research
12:33 Improving written communication: key to better outputs.
16:28 Using ChatGPT can lead to hallucinations.
17:28 ChatGPT errors and free course promotion.
22:27 Browsing with Bing relies on SEO analysis.
24:31 ChatGPT searches US companies by market cap.
28:51 OpenAI facing lawsuits over copyright infringement. Avoid hallucinations by using plugins and methods.
32:53 OpenAI facing backlash over ChatGPT plug-ins.
35:14 OpenAI's developer focus may affect market share.
38:11 Default Bing browsing causing GPT issues, misunderstandings.
43:12 Use GPT-4 offline, avoid bad information.
44:48 Understanding AI models crucial to prevent hallucinations.
Topics Covered in This Episode:
1. Overview of ChatGPT's Functioning
2. Common Misconceptions on ChatGPT
3. Structural Changes in ChatGPT
4. Ways to Improve Outputs in ChatGPT
Keywords:
ChatGPT, Generative AI, AI news, Intel's stock, OpenAI, GPT 4 turbo model, Tokenization, Large language models, Communication skills, Memory management, Prime Prompt Polish, Daily AI newsletter, Copyright infringement, AI plug-ins, Microsoft CoPilot Pro, GPT 5, Misinformation, 0 shot versus 5 shot prompts, Bing default browser, Knowledge cutoff, Paid version access, Plug-ins mode, US companies $3 trillion market cap, WebReader plug-in, Inaccurate AI responses, AI hallucinations, AI in daily life, GPT builder.
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How will AI impact the Real Estate industry? Whether you manage real estate or buy/sell/rent homes, how will AI change the way we interact with real estate? Cat Allday, VP, AI and Product Operations at AppFolio, joins us to discuss real estate's AI transformation.
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Timestamps:
01:50 Daily AI news
05:25 About Cat and AppFolio
10:38 AI gained foothold in leasing, will expand to entire resident life cycle.
13:33 App Folio AI use cases in real estate
20:44 Pros and cons of AI in real estate
25:20 Cat's final takeaway
Topics Covered in This Episode:
1. The Impact of AI on Real Estate Industry
2. AI Initiatives at AppFolio
3. Overcoming Customer Hesitancy to Adopt AI Features
4. Changing Behavior and Future Trends in Real Estate
5. Advantages and Challenges of AI in Real Estate
Keywords:
AI impact, real estate industry, artificial intelligence, generative AI, leveraging AI, companies, careers, AI news, Google, Lumiere, AI video, market cap, Microsoft, tech rally, Nvidia, US government, National Science Foundation, Nair, collaborative efforts, AI resources, real estate companies, property management, AppFolio, AI initiatives, leasing assistant, customer adoption, competitive disadvantage, voice dictation, personal interaction, human face to face, housing.
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With every company raising money looking to add AI, how can venture capital firms make sense of it all? By also using LLMs. Roger Thornton, Co-Founder and Partner of Ballistic Ventures, joins us to discuss how VC firms can leverage LLMs to get ahead.
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Timestamps:
01:35 Daily AI news
05:00 About Roger and Ballistic Ventures
07:30 Trust leads to vulnerability, tech advances enhance threats.
12:35 Experts prioritize concise communication and utilizing AI.
14:20 Using large language models concisely.
18:38 Venture capitalists struggle with time and AI.
23:06 AI's impactful role in programming and democracy.
25:14 Downsides of LLMs for VCs
27:08 Start-ups building infrastructure for data generation
Topics Covered in This Episode:
1. Venture Capital Firms and AI
2. Impact of AI on Business and Security
3. Applications of Large Language Models (LLMs)
4. Quality and Dependency on Data for AI
Keywords:
AI, cybersecurity, data poisoning, access control, forecasting, efficiency, disruption, startups, language models, vetting, entrepreneurship, proprietary data, venture capital, confidentiality, internal AI models, generative AI, family passwords, integration, English grammar, investment memos, service industry, deep fake technology, democracy, user experience, Chrome, breakthrough energy innovation, OpenAI, SAP, cybersecurity companies
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Traditional SEO is going to die. The way we all use the internet is going to drastically change. Why? Because AI search is here. So what effect do AI and LLM chatbots have on the future of traditional web searching? We're diving in.
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Timestamps:
02:30 Daily AI news
06:40 Jordan's background in SEO
12:01 Utilize Google's SGE, ChatGPT, perplexity.
14:01 Stack Overflow: open forum for developers.
18:08 Big publishers suing OpenAI over copyrighted content.
20:22 ChatGPT's usage has skyrocketed, generated significant organic traffic.
25:56 SEO experts emphasize content volume for ranking.
29:31 Online platforms consuming content without generating traffic.
32:03 Companies forced to prioritize ad revenue over user experience.
37:02 Underused generative AI; personalized content saves time.
37:40 MIT study on AI replacing human jobs.
43:49 SEO focus shifting to voice and AI.
45:29 Consider partnerships or join content publishers' union.
48:02 Google's AI search fills screen, discouraging scrolling.
Topics Covered in This Episode:
1. The Future of SEO and Web Browsing
2. Impact of AI and Voice Search on Traditional SEO
3. Usage and Benefits of AI Search Engines
4. Legal Issues and Partnerships between AI Companies and Publishers
Keywords:
SEO, AI, traditional SEO, Accelerant Agency, white hat SEO, local service-based businesses, AI features, Stack Overflow, ChatGPT, AI platforms, publishers, legal action, OpenAI, The New York Times, traditional news publishers, recipe search, perplexity, web browsing, lawsuits, partnerships, AI companies, personalization, ad revenue, publishers, browsing experience, retargeting ads, push notifications, video ads, excessive ads, unsustainable browsing experience.
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Meta goes all in on AGI, Microsoft releases Copilot Pro, Runway's new multibrush tool, and more! Here's this week's AI news that matters.
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Timestamps:
03:15 Meta shifts focus to AGI
10:15 Microsoft releases Copilot Pro
16:02 Google lags behind in AI product accessibility.
19:45 Runway multitool brush
24:25 Samsung's AI phones
27:36 Samsung Galaxy S24: AI enhances photo search.
32:10 Eleven Labs valued at over $1 Billion
Topics Covered in This Episode:
1. Generative AI Advancements and Applications
2. Advancements in On-Device AI Computing
3. Evolution of the AI Software Market
4. AGI Race and Societal Impact
5. AI Governance and Privacy Regulations
Keywords:
Qualcomm Snapdragon chip, generative AI capabilities, edge AI, on-device AI, first-person data, Samsung Galaxy S24, circle search, live translation, AI call assistants, Apple, environmental impact, 11 Labs, unicorn status, AI software market, Everyday AI, AI enthusiasts, LinkedIn thread, Mark Zuckerberg, artificial general intelligence, Meta, NVIDIA GPUs, AGI race, Microsoft Copilot Pro, DALL E, Microsoft 365, Google Docs, Wellsaid Labs, EU AI governance, generative AI tools, misinformation, disinformation, text-to-speech"
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How do you win back your time with generative AI? So many people ask us this question and we thought we'd answer it. We've figured out the biggest ROI of GenAI and we're breaking it down for you!
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Timestamps:
01:50 Daily AI news
05:00 The biggest ROI for GenAI
09:07 Generative AI revolutionizes knowledge work in business.
13:48 Internet revolutionized knowledge sharing; Generative AI creates.
20:05 Internet usability declining due to excessive ads. Lawsuits.
21:04 Publishers losing money as large language models index.
27:06 YouTube videos are better for learning skills.
30:48 Knowledge workers benefit from generative AI usage.
32:04 Use AI to query, read, respond, analyze emails.
35:21 Categorize manual work to find time spent.
Topics Covered in This Episode:
1. Leveraging Generative AI to Win Back Time
2. Impact of generative AI on knowledge work in business
3. Practical Applications of Generative AI
4. Challenges of Information Overload and Time Management
5. Impact of LLMs and Internet Usability
Keywords:
Generative AI, Rabbit, Perplexity, Meta, Artificial General Intelligence, AGI, World Health Organization, ethical guidelines, healthcare, knowledge work, McKinsey study, economic potential, Internet, retrieval augmented generation, large language models, Google Bard, YouTube, productivity, GPTs, web reader plug-in, summarization, work processes, email, learning, information overload, AI skills, professional success, web research
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The conversation around AI in the classroom has been ongoing for a while now. Should it be used or banned? How should you use it and monitor it? Laura Dumin, a Professor at the University of Central Oklahoma, joins us to discuss why we should focus on literacy and not detection when it comes to AI in education.
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Timestamps:
01:30 Daily AI news
05:30 About Laura and her role at University of Oklahoma
09:39 Considering using AI in assignments requires thought.
13:01 Challenges in developing new teaching policies.
16:39 Students adjusted to PDF annotations, benefiting research process.
19:13 Loss of student trust from false accusations.
22:51 Instructors explore AI in various fields.
23:45 Adapting to AI in technical writing education.
27:59 High school curriculum concerns about AI ethics.
32:06 AI programs should be trained with care.
Topics Covered in This Episode:
1. Challenges of Integrating AI into Education
2. Ethical Use of AI in Education
3. Preparing Students for AI Integration
4. Educator's Perspective on AI in Education
Keywords:
Generative AI, classroom, literacy, AI detection, New York Times lawsuit, Sam Altman, OpenAI, artificial general intelligence, Google DeepMind, alpha geometry, International Mathematical Olympiad, Samsung, Google Cloud, smartphone, Laura Doonan, University of Central Oklahoma, AI coordinator, AI usage, AI literacy, AI courses, AI ethics, education, adoption of AI, micro credentials, workshops, guidelines, academic integrity, student AI usage, annotated PDFs, AI detectors, Gen AI skills, elementary education, secondary education
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What if there was a GenAI tool that could combine the best of all GenAI design capabilities, from text-to-text to text-to-image and more? Well, that magical tool exists and it's Canva's Magic Studio. Danny Wu, Head of AI Products at Canva, joins us to discuss how Magic Studio works and ways you can use it to save time with content creation.
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Timestamps:
02:15 About Danny and his role at Canva.
05:11 Create and edit visuals with powerful features.
07:50 Canon's innovative "magic switch" blurs design boundaries.
12:42 Enthusiasm for Canva and its practicality.
14:29 Magic Write brand tone of voice, translation.
19:21 AI text feature aids brainstorming, refining, drafting.
22:17 Simplified AI features for easy design implementation.
25:42 AI features adoption across various visual tools.
29:40 Excited about Canva, seeking practical advice.
Topics Covered in This Episode:
1. Introduction to Canva's Magic Studio and AI Features
2. Practical Business Use Cases for Canva
3. Advice for Using Canva's New AI Feature for Business Purposes
4. Canva's Focus on Embedding AI into Workflows
5. Discussion of Canva's AI Capabilities
Keywords:
Canva, Magic Switch, Generative AI, design types, time-saving, collaboration, AI-powered design, communication, storytelling, small businesses, social media graphics, content creation, language translation, practical use, privacy policies, data usage, Everyday AI newsletter, Canva's Magic Studio, AI features, technologies, monthly active users, MagicRide, photo editing tools, natural media, Magic Eraser, Canva Pro, workflows, generative AI program, workplace productivity, AI capabilities, Magic Media
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Last week OpenAI released its GPT Store. Everyone was talking about its impact and how it'll change the way we do business. Although it might, there's some important things that no one is talking about. OpenAI actually got some things wrong with the GPT Store. We're breaking it down.
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Timestamps:
02:20 Daily AI news
10:45 OpenAI released GPT builder for creating custom GPTs.
12:45 Chat GPT now allows easier team collaboration.
18:17 Comparing GPT store to IOS App Store.
20:20 GPT store spells eventual demise of plug-ins.
23:16 One plug-in equals one GPT.
26:09 Request to extract, compile, and visualize financial data.
31:34 Relevancy in searches poor, but concept brilliant.
35:22 GPTs: versatile but not always secure.
37:52 Caution about GPT duplication issue on Twitter.
41:36 Easy access to GPTs' configuration instructions raises concerns.
Topics Covered in This Episode:
1. Criticisms of OpenAI's GPT Store Rollout
2. Functionality of GPT Store
3. Demonstration of Plugins vs. Using Singular GPTs
4. GPT Store Limitations and Future Developments
Keywords:
OpenAI, GPT Store, functionality, search, browsing, buying, selling, security, configuration instructions, messaging, PR, plugins, relevancy, safety, ChatGPT Plus, Teams account, custom GPTs, monetization, Chat GPT Teams, public narrative, IOS App Store, plug-ins, PDF reading, business automation, Bard, Google AI, Deloitte survey, Microsoft Copilot Pro, global elections, generative AI
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With so much going on in the AI world, it can be hard to keep up with everything. From Sam Altman and Bill Gates to Apple shuttering their AI team, we're covering what you need to know this week.
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Timestamps:
04:00 Bill Gates interview with Sam Altman
06:42 Discussion on fast pace of technological innovations.
08:14 OpenAI's Sam Altman explores GPT technology.
12:28 Don't discount Apple's AI potential despite headlines.
17:02 Summary: High-level recap of impressive AI hologram technology.
18:48 AI expected to worsen inequality, proactive measures urged.
22:30 People now rely on apps for everything.
26:47 Excited for hot take Tuesday on GPT.
Topics Covered in This Episode:
1. Bill Gates and Sam Altman Interview
2. Apple Shuttering AI Team
3. OneX Robotics
4. AI Recap at CES
5. IMF Study Impact of AI on Jobs
6. OpenAI's GPT Store
Keywords:
AI news, Bill Gates, Sam Altman, interview, Apple AI team, Gen AI, career growth, GPT technology, OpenAI, large language model, GPT 5, Google Bard, robotics, AI impact on jobs, IMF study, advanced economies, white-collar workers, CES, holograms, GPT store, GenAI community, OpenAI Teams feature, collaboration, training data privacy, ChatGPT enterprise, hot take Tuesday.
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On-device AI is coming to all of our devices. But, do we need it? From the potential benefits of increased productivity and seamless integration with our devices to concerns about privacy, resource consumption, and the lack of a "kill switch," we explore the untold side of on-device AI that no one's talking about. Join us as we uncover the hidden truths of this technological trend, discuss the impact on companies like Microsoft and Apple, and anticipate the release of llama 2 and its intriguing offline integration. Stay with us to be in the know about generative AI, and its far-reaching implications in our everyday lives.
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Timestamps:
00:00 Welcome to the show!
03:12 Daily AI News
06:54 Trend towards bringing generative AI to devices.
10:50 Speculation on Apple's offline/on-device AI plans.
13:59 Personal AI reduces latency, making tasks instant.
16:25 On-device AI enhances productivity, seamless integration.
20:28 GPT-3 technology requires significant resources and testing.
24:20 On-device AI downsides include lack of control.
27:06 Speech describes potential impact of AI technology.
32:36 Reduced cloud prompting by 90% using on-device AI.
33:31 Enjoyed learning about on device AI, share ideas.
Topics Covered in This Episode:
1. Concerns about implications of on-device AI
2. Anticipation around llama 2 release
3. Speculations on Apple's generative AI project
4. Benefits and drawbacks of on-device AI
5. Integration of large language models with smart assistants
6. New AI-powered hardware devices
7. Challenges and drawbacks of on-device AI
8. Purpose of podcast and recent AI news
Keywords:
On-device AI, Kill switch, User consent, Opt-out option, Accessibility, Environmental impact, AI programs, AI technologies, Microsoft, NVIDIA, Qualcomm, Meta, Apple, Llama 2, Offline integration, Market adoption rates, Generative AI, Cloud-based AI, Large language models, Smart assistants, Alexa, Google Home, Rabbit r one, Meta Ray Ban glasses, Resource consumption, Battery life, Skynet factor, Podcast, Livestream, ChatGPT, Typeface.
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OpenAI's GPT store is now live! OpenAI has also announced revenue sharing with GPTs and it has everyone thinking "How can I make money off of this? Nancy Bain, CEO & Founder of Supernova Media, joins us to review what's new with the GPT store and how you can cash in on them.
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Timestamps:
01:35 Daily AI news
04:30 About Nancy and Supernova Media
08:05 Disappointment in ChatGPT's shopping interface capabilities
10:45 Unauthorized access of GPTs.
15:23 Affiliate marketing with GPTs.
18:16 Uncertainty around store monetization.
21:36 Use GPT to solve problems, not create.
25:24 Encourage using specific scripts for consistent user experience.
30:18 Advice on creating custom GPT using tabs.
31:11 Future outlook for custom GPTs and recommendations.
Topics Covered in This Episode:
1. Customization and Monetization of GPT
2. Building Custom GPT Solutions
3. Future Potentials of Custom GPTs
Keywords:
Customizable URLs, GPT, low hanging fruit, exploration, playing with GPT, configure tab, custom solutions, consistent user experience, nonhuman text, delimitators, conversation starters, proprietary data, sound like her, OpenAI, revenue sharing, Buy Me a Coffee, Calendly, affiliate marketing, subscriptions, Patreon, monetize GPTs, web browsing, code interpreter, Pipilot, future potentials, GPT Store, revenue-sharing opportunity, everyday AI, NVIDIA, demo application, chat with RTX, AI technology safety.
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There's a constant battle happening with cyber security and GenAI. While AI can benefit the evolution of cyber, it also can be a double-edged sword. Glen Pendley, Chief Technology Officer at Tenable, joins us to discuss GenAI's impact on cyber security.
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Timestamps:
01:45 Daily AI news
04:45 About Glen and Tenable
08:06 Attackers are opportunistic, protect yourself proactively.
12:12 Chrome vulnerability CVE-2023 poses significant threat.
14:06 AI expedites data mining for cyber threats.
20:13 AI tools enhance security features for software.
22:14 Keep software updated and limit user access.
25:17 Preventative security is crucial, don't overlook basics.
29:13 Previewing GPT store launch & daily AI updates.
Topics Covered in This Episode:
1. Tenable and Its Role in Cybersecurity
2. Impact of Generative AI on Cybersecurity
3. Role of Public and Private Sectors in Cybersecurity
4. Phishing Attacks and Cyber Hygiene Practices
5. Personal Cybersecurity Best Practices
Keywords:
OpenAI, ChatGPT Enterprise, Pennsylvania, Amazon, Alexa skills, artificial intelligence, historical figures, custom songs, Rabbit, Rabbit R1, generative AI, cybersecurity, Tenable, vulnerabilities, proactive security measures, public sector, private sector, small businesses, AI devices, deep fake technology, GPT, GPT store, CISA, phishing attacks, ransomware, cyber hygiene, end users, evolving threat landscape.
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If you haven't heard, The New York Times is suing OpenAI and Microsoft for copyright infringement. OpenAI recently released a statement clapping back at The New York Times. So what does it all mean and what can we expect for the future implications of AI and copyright material? Let's dive in.
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Timestamps:
03:00 Daily AI news
07:50 Recap of lawsuit
09:58 Anticipated event unfolds after months of speculation.
11:55 NYT complaint poorly researched and comical. Meritless.
16:57 OpenAI admits to training model on copyrighted work.
19:01 AI powered mega cap companies leading economy.
21:23 Journalist shares conflict over AI in journalism.
27:40 The evidence shows GPT-4 copied New York Times.
29:16 Copying content from AI models is unreliable.
34:34 Issues with anonymous chat sharing, missing links.
37:29 New York Times filing about GPT issues.
41:52 GPT account for chat, lacking important details.
42:28 Language models can be manipulated easily.
47:52 AI's impact seen in top companies' success.
50:00 AI slowdown could deflate GenAI hype.
54:06 Error in replication, flawed filing, trial implications.
57:03 Suspicion around sharing links during GPT output.
Topics Covered in This Episode:
1. Legal dispute between OpenAI and The New York Times
2. Legal Filing and Evidence Analysis
3. Financial and Economic Implications
4. Technology and Industry Impact
Keywords:
New York Times, OpenAI, lawsuit, legal filing, Exhibit J, GPT4, AI sector, generative AI, economic disruption, AI technologies, US economy, copyright infringement, manipulation, ChatGPT, AI models, technology, patent infringement, NVIDIA, GPU chips, Google, podcast, livestream, newsletter, AI education, damages, receipts, proper sourcing, citing, law schools, replication, evidence
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Welcome to our new segment, AI News That Matters! Every Monday we're bringing you the biggest AI news and trends to keep an eye on and why it matters. Today we're looking at Midjourney's v6, AI-powered kitchens, upcoming AI announcements at CES, and more!
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Timestamps:
03:20 Midjourney v6 plagiarism?
07:50 New York Times suing OpenAI and Microsoft.
11:23 Inquiry about copyright violation and terms update.
15:35 2024 brings widespread use of generative AI.
21:03 Anticipating more Google partnerships in 2024.
23:07 Chatbot aids employees but requires verification accuracy.
26:30 AI affects job market and management consultants.
28:30 Deloitte leading in AI, urges accountability in use.
Topics Covered in This Episode:
1. AI Image Generation
2. AI in Smart Technology
3. AI in the Workplace
4. Legal and Ethical Implications of Generative AI
Keywords:
Generative AI, large language models, management consulting, AI usage, Monday segment, AI news, The New York Times vs. OpenAI lawsuit, daily newsletter, AI host, podcast, MidJourney, v6 updates, AI image generators, Samsung's AI-powered refrigerator, CES, companion robots, ChatGPT technology, smart belts, voice technology, GPT-powered technologies, smart assistants, plagiarism problem, legal and ethical implications, trained photographer, smart technology, Deloitte, AI chatbot, Microsoft Copilot, Fortune 100 and 500 companies, management consultant industry
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There's one secret skill for more effective prompting! It's a skill set that we all have but not recognized as something you can use toward prompts. Even better, we have an OpenAI Ambassador here to help talk about prompting and how to do it effectively. Abran Maldonado joins us to discuss what that secret skill is and how you can use it for better results.
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Timestamps:
01:55 Daily AI news
04:35 About Abran and being an OpenAI Ambassador
08:01 Access to future models, testing, providing use cases.
11:10 Engineers from diverse locations think quickly.
16:31 Proficiency with AI tools and Excel important
20:46 Elon Musk invented Neuralink for brain communication.
26:26 Imposter syndrome, calm down, noncoder perspective.
30:04 Excited for early access to custom GPTs.
30:51 Limiting Internet searching could impact ad revenue.
35:35 New technology levels the playing field.
Topics Covered in This Episode:
1. Abran's role and involvement with OpenAI
2. Secret Skill for Effective Prompting
3. AI and Communication Skills
Keywords:
Custom GPTs, Generative Pre-trained Transformers, personalized learning, department-specific GPTs, AI technology, practical advice, careers, AI news, Siri, Google Bard, OpenAI, AI ambassador, Create Labs Ventures, pandemic, prompt engineering, communication skills, prompt guidance, feedback, AI art, prompt engineering, GPT store, user feedback, Chat GPT, job seekers, AI-related skills, intent understanding, communication assistance, communication challenges, communication styles, AI communication bridge
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How do we teach the next generation about AI? Whether it's through education in schools or personal learning, there seems to be no cohesive plan on how we teach GenAI. Jim Barrood joins us to discuss ways we can learn and teach AI to the next generation.
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Timestamps:
01:25 Daily AI news
04:30 About Jim Barrood
08:51 Slow education systems need to embrace technology.
12:33 Continuous learning key for success in technology.
15:58 Various low-cost, free tools for building custom GPT.
18:56 Custom GPT for entrepreneurship, innovation, technology communities.
20:50 Transcribe and upload content for question answering.
26:02 Impressed, hopeful of using generative AI.
27:19 AI's creativity potential, ethical concerns and bias.
Topics Covered in This Episode:
1. Importance of Teaching AI to the Next Generation
2. Utilizing Generative AI for Creativity and Innovation
3. Learning and Adapting to AI Advancements
Keywords:
AI education, free engineering courses, AI learning, global GPT challenge, technology integration, entrepreneurial skills, generative AI, technology education, AI in schools, soft skills, communication skills, future job market, teenage innovation, GPT app store, AI project, personalized tutors, deepfakes, ethical AI, misinformation, speed of technological advancements, constant learning, motivation, reliable sources, high school student guest, AI-generated art, STEAM class, virtual reality show, human extinction, OpenAI ambassador, effective prompting.
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Win a free year of ChatGPT or other prizes! Find out out.
The number one question around GenAI is "How do I actually use it for my business?" Today we're tackling everything you need to know to grow your company and career with GenAI. Here's a blueprint with 7 ways you can use AI in your business in 2024.
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Timestamps:
08:32 Writing, analyzing, and presenting are essential tasks.
13:04 Use AI for data privacy in enterprise.
14:02 Wasted time in meetings, emails, preparation, follow-up.
19:08 Ethical and well-received approach for ChatGPT.
21:04 Otter.ai leads in meeting transcription.
25:35 Instruct ChatGPT with your strong background details.
29:26 Struggling with email tone? Use Chat GPT.
33:08 Generate reports on market trends and competitors.
34:33 Utilizing varied resources for comprehensive business strategy.
38:29 Find, input, and analyze data easily for Nike.
42:20 Create YouTube tutorials, draft slides, use GPT.
46:36 Generative AI: quick setup, big time return.
Topics Covered in This Episode:
1. Making Meetings More Meaningful
2. Personalizing Long Content
3. Reading and Responding to Emails
4. Competitive Analysis
5. Data Analysis and Graphing
6. Pitch Deck Creation and Improvement
Keywords:
Generative AI, business, time-saving, meetings, automation, personalized content, email management, competitive analysis, data analysis, graphing, pitch deck creation, tools, ChatGPT, ClickUp, Supernormal, Fathom, Assembly, prompt, AI news, mobile devices, audience engagement, PPP course, knowledge workers, learning, writing, analyzing, presenting, newsletters, transcribing meetings, virtual assistant tools
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Welcome to 2024. Wondering what's new and what you missed leading into the new year? We've got you covered. We're covering what you can expect for GenAI in 2024 and how it impacts you.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on GenAI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
05:30 New York Times sues OpenAI and Microsoft
06:22 Generative AI shaping future of journalism litigation
08:56 Important case for impact on AI training
11:29 Stack Overflow assists with large language models.
13:54 OpenAI's revenue hits $1.6 billion amid drama.
17:26 OpenAI, Google, Anthropic Quad, impacts on business.
21:04 Google's generative AI falls behind competitors.
26:55 Prepare for generative AI through diverse tools.
29:39 Partnership deals and tech developments in 2024.
34:19 Small businesses can streamline marketing with tech.
38:50 Learn generative AI basics in our comprehensive course.
Topics Covered in This Episode:
1. Generative AI Trends in 2024
2. Overview of advancements in generative AI technologies
3. Updates and Rumors in Generative AI Industry
Keywords:
MidJourney, v6 update, website, generative AI, free course, 3-hour course, platforms, ChatGPT, Bing, Copilot, Runway, 11 Labs, text to speech, basics, advanced techniques, text to text, text to photo, photo to video, text to speech generation, LinkedIn, Twitter, Microsoft, GPT-4, DALL E 3, AI technologies, Apple, Pika Labs, Pika 1.0, Runway, text-to-video, Jordan Wilson, Everyday AI, trends, career growth, company development, lawsuit, The New York Times, OpenAI, partnership deals, large language model, AI assistant, journalism, Anthropic, Gemini, Google, ad sales, layoffs, Microsoft Copilot
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What will the future of healthcare look like with AI? In what ways has the medical industry already started to develop use cases for AI? Harvey Castro, Personal Performance Coach and CCOO at ViTel Health, joins us to share insights into the AI developments being made both for healthcare professionals and front-facing customers like the everyday person.
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Join the discussion: Ask Harvey and Jordan questions about AI in Healthcare
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:03:00] About Dr. Harvey and healthcare involvement
[00:08:20] How AI is being used now in healthcare
[00:10:05] Future of AI in healthcare
[00:15:30] Hot take on how AI can be used in healthcare
[00:22:40] Challenge of balancing AI and healthcare data security
[00:25:05] Tech giants may acquire health companies for healthcare
[00:27:40] Dr Harvey's work with AI
[00:30:32] Using LLMs in healthcare
[00:34:38] Personalized health data
[00:39:17] How AI can help in limited resource spaces
Topics Covered in This Episode:
1. Overview of AI in Healthcare
2. AI in Healthcare Applications
3. Integration of AI in Electronic Medical Records (EMR)
4. Future Directions of AI in Healthcare
5. AI's Impact on Healthcare Perspectives
6. Challenges and Concerns in AI-Enabled Healthcare
Keywords:
Epic, healthcare technology, OpenAI, Google, acquisition, valuation, big tech company, future of healthcare, Mid Journey, coloring book, multimodality technology, phones, glasses, Meta, keynote speech, collaboration, NASA, Mars mission, OCR, optical character recognition, controversy, securing information, Llama models, hospitals, AI tools, administrators, Harvey, engagement, nursing shortage, AI advancements, paralyzed patients.
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Microsoft Copilot is here. So how will it change the way we all work, even if you don't use Windows? We explain what's coming and what it means for the future of work. Let's dive in!
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Join the discussion: Ask Jordan questions about Microsoft Copilot
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:30] What is Microsoft Copilot?
[00:06:00] Generative AI in your OS is transformative
[00:12:05] Features of Microsoft Copilot
[00:17:52] Dall-E 3 added to Microsoft design products
[00:23:20] Q4 2023 will be big for the future of Gen AI
[00:27:00] Microsoft Copilot will make startups obsolete
Topics Covered in This Episode:
1. Microsoft 365 Copilot and its Features
2. Microsoft 365 Copilot in Action
3. Updates and New Features
3. Implications for Working Processes and Costs
4. Venture Capital and Startup Landscape
5. Predictions and Future Outlook for Generative AI
Keywords:
Microsoft 365 Copilot, suite, enterprise customers, November 1, $30 per month per user, initial rollouts, generative AI system, ChatGPT, release, November 2021, impact, work, Microsoft Word, documents, Microsoft 365 Chat, centralized, apps, product updates, monthly fee, unsubscribe, alternatives, Dolly Three, operating system, ownership stake, venture capital, Anthropic Cloud, bug, comments, multimodal features, voice, audio, photos, silo, generative AI tools, copy and paste prompts, PPP course.
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Sometimes ChatGPT can sound robotic. Getting it to sound human may seem impossible but it's not. We're breaking down 5 tips to make ChatGPT sound human and write exactly how you want it to.
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Timestamps:
[00:4:00] AI can write as well as humans and faster
[00:08:00] Using the right ChatGPT mode
[00:10:00] Give it writing samples and resources
[00:13:40] Make sure to Prime, Prompt, Polish
[00:15:40] Train ChatGPT like an employee
[00:18:45] Keep chat memory in mind and recall
[00:22:35] Final takeaway
Topics Covered in This Episode:
- Main topic: How to make Chat GPT write like a human
- Importance of using Chat GPT effectively for human-like writing
- Five tips for using Chat GPT effectively:
- Understand the prompts and goals
- Provide context and specific instructions
- Be an active editor and reviewer
- Iterate and improve your conversation with the model
- Utilize additional tools and resources for extra support
- Demonstration of effective interaction with Chat GPT to produce a well-written post
Keywords:
Everyday AI, podcast, live stream, newsletter, AI, business growth, career growth, ChatGPT, human-like writing, AI news, Zoom, customer data, AI training, Meta, generative AI models, Microsoft, Bing AI, browsers, effective use, writing, AI writer tips, interaction, well-written post
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One of the most common phrases we hear is how can I actually use AI? What use cases exist for me to put AI to work for my business? Isar Meitis, CEO of Multiplai, joins us to discuss real business use cases for AI. From data analysis to marketing tasks, we cover a wide variety of topics.
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Join the discussion: Ask Jordan and Isar questions about AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:30] About Isar and Multiplai
[00:03:30] How to implement AI in a business
[00:10:00] Roadblocks for companies adopting AI
[00:15:25] Using AI for data analysis
[00:19:30] Data security guidelines for AI
[00:23:30] Using Gen AI for content creation
[00:30:12] Ideation with LLMs
[00:35:05] Isar's advice to start using AI
Topics Covered in This Episode:
1. Integrating AI into business organizations
2. Use cases of AI in data analysis
3. Role of the committee in exploring and implementing AI
4. Content creation and repurposing with AI tools
5. Consulting with experts and utilizing their content
Keywords:
financial data, session, accessibility, Google, database, sensitive information, sharing, continuous education, exploration, AI, podcast, consulting, teaching courses, staying updated, business owners, limited time, learning, experimenting, new tools, advancements, Microsoft, Google, Salesforce, HubSpot, integrating AI features, business leaders, committee, framework, boundaries, misuse of AI, company values, salesperson, compensation, guidelines, boundaries, education, training sessions, third-party tools, ChatGPT, advanced data analysis, insights, marketing, scattered data, automation tools, Zapier, Maker, data security issues, Gen AI tools, pain points, video recording, content repurposing, transcription, SEO purposes, books, advisory board, committee, bouncing ideas, multiple perspectives, CEO, experienced professionals, tech startups, AI impact, education, data security, commercial version, immediate results, low hanging fruits, data analysis, finance, marketing, sales, HR, fear of publishing private data, large language models, MidJourney, Niji app, AI image generation, anime style, version 5, image generations, DALL E, ideation, content creation process
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2023 has been the year of generative AI. We've talked with entrepreneurs, startup founders, and industry tech leaders, and there's a lot that we've learned behind the scenes. We're unleashing that knowledge and telling you our GenAI predictions for 2024.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:40] Daily AI news
[00:08:25] Jordan's predictions for 2024 (#24 to #6)
[00:52:20] Top 5 predictions
Topics Covered in This Episode:
1. AI Developments and Predictions for 2024
2. Trends in AI Usage and Impact
Keywords:
AI watermarks, Grok, large language model, Twitter, misinformation, disinformation, Apple, home assistants, Siri, Alexa, NVIDIA stock, GPU chips, Gemini Ultra, GPT 5, AI video, AI images, GPT, OpenAI, AI legislation, everyday AI, Jordan Wilson, Gen AI, AI agents, retrieval augmented generation, RAG, publishers, internet browsing, big acquisition, copyright battles, Gen AI training, job loss, workforce, knowledge work.
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2024 is almost here! Is your AI strategy ready for the new year? We're covering what AI business strategies you'll need to take advantage of AI in 2024. Markus Bernhardt, Chief Consultant at Endeavor Intelligence, joins us to go over what you should and shouldn't do for your AI strategy in 2024.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Markus questions on AI business strategy
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:20] Daily AI news
[00:04:35] About Markus and Endeavor Intelligence
[00:06:15] Are companies seeking AI strategies?
[00:10:20] Implementing AI in organizations
[00:17:50] Importance of speaking the same "AI language"
[00:22:15] Best approach for first-time AI implementation
[00:26:10] Advantage of small businesses and AI
[00:29:05] Key aspects to keep in mind with AI
[00:31:10] Advice for business leaders
Topics Covered in This Episode:
1. Business Preparation for AI Strategy in 2024
2. Preparing Teams and Leaders for AI
3. Challenges of Keeping Up with Rapid Changes in AI
4. Generative AI and Its Impact on Small Businesses
5. Advice For Business Leaders
Keywords:
2024, Gen AI, AI technology, AI landscape, RFP process, agile approach, human element, innovation, AI news, Samsung, Navir, AI chip, White House's AI regulation, MidJourney, Chief Consultant, Endeavor Intelligence, AI strategy, technology implementation, vendors, language models, generative AI, small businesses, hidden dangers, communication, workshops, organizational needs, AI solutions
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What does the future of customer experience look like with GenAI? We're taking a look at existing and new technology that'll change the way we interact with brands, products, and services. Ron Friedman, Head of Content and Creative Marketing at D-ID, joins us to discuss the next era of customer experience using AI agents.
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Join the discussion: Ask Jordan and Ron questions on AI and customer experience
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:15] Daily AI news
[00:03:30] About Ron and D-ID
[00:08:15] Business use cases for D-ID
[00:10:45] What's an AI agent?
[00:15:30] Are AI avatars the future?
[00:19:50] Ethical concerns around AI agents
[00:23:45] Creative business use cases
[00:29:25] Using AI agents for learning
[00:33:40] AI agents as a work replacement?
[00:36:10] Ron's final thoughts
Topics Covered in This Episode:
1. D-ID's involvement in generative AI and avatar technology
2. Business use cases for AI agents
3. Ethical implications of AI agents in human interaction
4. The Future of AI Avatars
Keywords:
AI news, Biden administration, AI policy, racial wealth gap, UK court ruling, D-ID, generative AI, avatar technology, natural language processing, digital humans, avatars, AI watermarks, ethical implications, deepfake videos, AI agents, Abuela AI, business use cases, 24/7 availability, personalized video emails, education, cost savings, video production, conversational interactions, influencers, content creators, sales representatives, real-time video interactions, smart AI bots, graphical user interface
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We have some hot takes when it comes to how AI is being used in education. Universities are letting students down by the way they are/aren't using GenAI tools. Jason Gulya, Chair of Artificial Intelligence Council at Berkeley College, joins us to discuss the current state of AI in higher education and how to fix its shortcomings.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jason questions on AI and education
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:00] About Jason and his role at Berkeley College
[00:05:00] Attitudes toward LLMs in Higher Ed
[00:10:00] Why universities use AI or ban it
[00:14:40] Using AI in education responsibly
[00:21:50] Advice for universities not wanting to use AI
[00:28:40] How GenAI enriches learning
[00:32:20] Future of Higher Ed and AI
[00:35:40] Jason's final takeaway
Topics Covered in This Episode:
1. The Changing Landscape of Higher Education and AI
2. Challenges and Opportunities in Integrating AI in Education
3. Ethical Use of AI in Education
4. Utilizing AI for Teaching and Learning Enhancement
5. Collaborative Approach and Future Vision for AI in Education
Keywords:
AI in higher education, responsible AI use, involving students, transparency, accountability, trust in colleges, job preparation, generative AI skills, professors experimenting with AI, AI-related committees, AI policies, optimism about AI, AI integration in curriculum, ban on AI, AI detection tools, skepticism about AI tools, English professor, AI consultant, changing nature of writing, humanities in the age of AI, large language models, ChatGPT, enrollment cliff, traditional academic silos, personalized learning, best practices in teaching, community of practice
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Some people think AI is as simple as autocomplete. But GenAI has gone from a working assistant to LLMs making new discoveries. We're talking about Google DeepMind's historic breakthrough and what it means for the future of GenAI and humans.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions about Google DeepMind
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:30] Daily AI news
[00:08:05] Google DeepMind's new discovery
[00:12:30] First instance of AI outsmarting humans?
[00:16:00] AI creating its own intelligence
[00:22:00] Future of GenAI
Topics Covered in This Episode:
1. DeepMind's Historic Breakthrough
2. Evolution of AI Capabilities
3. AI's Impact on Various Applications
4. Future Implications of AI
Keywords:
AI, generative AI, large language models, GPT 4.5, virtual rally, AI technology, former prime minister, AI development, self-evolving AI technology, AI models, Everyday AI show, DeepMind, AI breakthrough, autocomplete, new discoveries, knowledge discovery, Fun search, mathematical equation, outsmarting humans, accidental discoveries, head of content marketing, AI business strategy, higher education, DID, hot takes, AI in 2024, unsolved math problem, cap set, MIT, University of California, AI Zip Incorporated
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Jordan spent 3 days with some of the brightest minds in AI. Everyday AI spoke at the AI Summit NYC and we have 5 things that we took away from the experience about the future of AI. We're sharing what we think and why it matters.
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Join the discussion: Ask Jordan questions about the AI Summit NYC
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:35] Daily AI news
[00:06:35] About the AI Summit in NYC
[00:08:25] #1 - Data gold rush
[00:10:40] #2 - Lack of people in their 20s
[00:15:30] #3 - Tons of carbon copies
[00:18:50] #4 - No one has it figured out
[00:21:25] #5 - Lack of general knowledge
[00:24:45] Audience questions
Topics Covered in This Episode:
1. Jordan's experience at the AI Summit in New York City
2. 5 Key Observations from the AI Summit
3. Audience feedback and questions
Keywords:
AI Summit, artificial intelligence, generative AI, OpenAI news, superintelligence, funding initiative, startups, GPT 4.5, rumors, CEO, screenshots, Gaudi 3, GPU chip, Google's model, knowledge, Russian president, Vladimir Putin, AI double, live call, Intel, generative AI, NVIDIA, AMD, founders, career, swag, learning curve, legal outlook, policy, enterprise.
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What happens when a company implements AI into the workplace? How can you implement it ethically and how do you handle the changes that come with it? From role changes to work operations, Madison Mohns, AI Product Manager at Indeed, joins us to discuss ethical leadership for AI implementation.
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Join the discussion: Ask Madison and Jordan questions about AI in the workplace
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:40] Daily AI news
[00:04:25] About Madison and AI product management
[00:06:45] How Indeed is using AI
[00:09:30] GenAI and the future of work
[00:12:30] Implementing AI in the workplace
[00:18:10] Ethical leadership and AI
[00:22:30] Measuring efficiency with AI
[00:25:43] Can AI help with ethics in the workplace
[00:29:30] Training employees on AI
[00:32:55] Madison's final takeaway
Topics Covered in This Episode:
1. Impact of GenAI on the Future of Work
2. Ethical Implementation of AI in the Workplace
3. Impact on Job Displacement and Ethics
4. Business Metrics for Measuring Employee Performance
Keywords:
Machine learning, Job seekers, Employers, Recommendations, Generative AI, ChatGPT, Workplace, Ethical implementation, Displacement, AI augmentation, AI impact, AI application, Everyday AI Show, AI product management, Indeed, HR tech, Techno solutionism, Bias in AI, Data bias, Training data, Employee training, Transparency in AI, Education around AI, Senior leaders, Employee concerns, AI development, Job displacement, Employee performance, Business metrics, Metrics for AI implementation
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Some people say that AI stinks. ChatGPT isn't any good. Well we're here to break the news to you. ChatGPT doesn't suck. Your prompts do. We're showing you what you're doing wrong and how to improve your ChatGPT prompts to improve your results and responses.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions about ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:00:55] Daily AI news
[00:05:12] Is ChatGPT getting lazier?
[00:11:15] Prompting is the issue
[00:13:55] Mistake #1 - Copy and paste super prompts
[00:18:30] Mistake #2 - Looking for outputs vs building skillsets
[00:22:18] Mistake #3 - Not using skill-based chats
[00:25:24] Mistake #4 - Telling ChatGPT it's an expert in X with X years of experience
[00:28:55] Mistake #5 - Using ChatGPT as a shortcut
[00:31:30] Final takeaway
Topics Covered in This Episode:
1. Importance of Changing Mindset When Working with ChatGPT
2. Approaches to Use Large Language Models Effectively
3. Getting Quality Results from ChatGPT
Keywords:
ChatGPT, large language model, mindset change, multi-shot prompting, skill sets, training, expertise, AI news, Everyday AI, generative AI, Accenture, New York Times, AI editorial director, Humana, healthcare, daily newsletter, AI inner circle session, prompting mistakes, live audience input, multi-modality, text-to-text, text-to-photo, text-to-video, video-to-photo, text-to-video, video-to-text, engagement, ChatGPT memory, training, automation
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Google has been under fire after the release of its new Gemini. Sorry to say but Google got so many things wrong with the marketing and launch. Is Gemini an actual ChatGPT killer or just a marketing stunt gone wrong? We're covering everything you need to know.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions about Google Gemini
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:17] Daily AI news
[00:07:30] Overview of Google Gemini
[00:10:40] Google lied about Gemini release
[00:17:10] How Gemini demo was created
[00:23:50] Comparing ChatGPT to Gemini
[00:30:40] Benchmarks of Gemini vs ChatGPT
[00:38:20] Why did Google release Gemini?
[00:43:00] Consequences of botched release
Topics Covered in This Episode:
1. Introduction to Google's Gemini Model
2. Google Gemini's Marketing Controversy
3. Assessing Gemini's Performance and Functionality
4. Comparison with ChatGPT
5. Importance of Transparency and Truth in AI Industry
Keywords:
Google Gemini, Generative AI, GPT-4.5, AI news, AI models, Google Bard, Multimodal AI, Google stock, Generative AI industry, Google credibility, Technology news, AI tools, Fact-based newsletter, Marketing misstep, Deceptive marketing, Multimodal functionality, Gemini Ultra, Gemini Pro, Benchmarks, Misrepresentation, Stock value, Text model, Image model, Audio model, Google services, Pro mode, Ultra mode, Marketing video
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Automation is a ket asset to speeding up your workflow and becoming more efficient. But adding AI to your automation can seem like a daunting task. Luckily Mark Savant, Founder of Mark Savant Media is joining us to discuss simple ways you can automate your media marketing with AI to grow your company or career.
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More on this Episode: Episode Page
Join the discussion: Ask Mark and Jordan questions about AI automation
Related Episode: ChatGPT and Zapier: A Game-Changing Duo
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:45] Daily AI news
[00:04:40] About Mark and Mark Savant Media
[00:07:30] Starting with AI automation
[00:12:50] Balancing human interaction and AI
[00:15:15] Automating media marketing
[00:19:45] AI tools for media marketing
[00:22:50] Audience questions
[00:28:15] More ways to use AI automations
[00:32:30] Mark's final takeaway
Topics Covered in This Episode:
1. Importance of leveraging AI for media marketing
2. Impact of AI on human-to-human interactions
3. Efficiency and cost-saving potential of AI
4. Tools and Software for Media Marketing
Keywords:
AI automation, podcast industry, generative AI, workforce displacement, technological advancements, embracing technological change, mid-thirties to mid-forties, business efficiency, human-to-human interactions, marketing automation, digital media content, remote video calls, transcription, interpretation, remote work, hybrid teams, Cast Magic, Chat GPT, Zapier, Avoma, strategic selection, obsolescence prevention, software integration, competitive edge, EU AI bill, Mistral AI valuation, Spotify AI focus, small businesses, personalized messages, chatbots, sales calls
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How can we create better AI that's centered around users? What influence will AI have on products and its users? Svetlana Makarova, AI Group Product Manager at Mayo Clinic, joins us to discuss how AI will reshape product strategy and management.
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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:45] About Svetlana and AI product management at Mayo Clinic
[00:07:00] User centric AI
[00:11:00] Should we incorporate AI into everything?
[00:16:00] How to implement AI in product strategy
[00:21:00] Importance of explainable AI
[00:24:00] Creating user centric AI
[00:29:05] Svetlana's final takeaway
Topics Covered in This Episode:
1. Importance of User-Centric AI
2. Decision-Making Process for Implementing AI
3. Product Development Methodology
4. Importance of explainable AI in building trust
Keywords:
AI integration, User-centric AI, Seamless integration, Google, Amazon, Generative AI, Decision-making process, Return on investment, User feedback, Automation, Work shares, Synthetic data, User workflows, Solution approaches, Enterprise scaling, Data platform, Flexible infrastructure, Explainable AI, Mayo Clinic, AI product management, Product strategies, Market introduction, Buzzword, Challenges for enterprises, User needs, AI solutions, Practical advice, career, business.
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Looking to grow your brand? Podcasting is actually a great place to start. Even though it's been around for a while, podcasting has become a more popular outlet for brands recently. So how can we use AI and podcasting for brand growth? Ronsley Vaz, Founder of We Are Podcasts, joins us to discuss how you can use AI and a podcast to grow your business.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:30] Daily AI news
[00:07:00] About Ronsley and We Are Podcast
[00:09:15] How AI changes podcasting
[00:12:45] Should brands have podcasts?
[00:16:50] How podcasting creates business growth
[00:19:20] Using AI to repurpose podcast content
[00:22:40] Rapid fire audience questions
[00:26:40] Ronsley's final advice
Topics Covered in This Episode:
1. About podcasting
2. The impact of podcasting for businesses
3. Using AI with podcasting
Keywords:
Podcast, AI, GenAI, business growth, branding, content creation
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GenAI is known to push business outcomes and maximum efficiency. And a powerful tool like Microsoft Copilot can do just that. But what can GenAI do to help us learn and lead better? Carol S. Scott, Senior Director Software & Digital Platforms at Microsoft, joins us to discuss how Microsoft Copilot will help us advance our learning and leadership.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:35] Daily AI news
[00:04:20] About Carol and her role at Microsoft
[00:06:00] Basics of Microsoft Copilot
[00:10:10] How Microsoft Copilot changes how you learn
[00:17:00] Using Copilot to summarize and ideate
[00:20:50] Copilot's influence on the way we work
[00:25:30] How Microsoft Copilot helps with leadership
[00:29:15] Business challenges to implementing GenAI
[00:32:25] How to grow with GenAI
Topics Covered in This Episode:
1. Microsoft Copilot and its Applications
2. Generative AI and its impact on leadership and decision-making
3. Challenges and Opportunities of Using Generative AI
Keywords:
Enterprise Copilot, Corporate data, Microsoft, GenAI, learning and development, simulation, work, team, software development, Microsoft Copilot, decision-making, business challenges, AI news, employees, business growth, leadership, learning
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You keep making the same mistake on ChatGPT that's causing hallucinations and incorrect information. And you probably don't know you're making it. We'll tell you what it is, and how to avoid it so you can get better results.
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Website: YourEverydayAI.com
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Timestamps:
[00:02:15] Daily AI news
[00:07:00] Quick ChatGPT basics
[00:13:00] ChatGPT knowledge retention
[00:19:07] Remember document memory limit when using GPT
[00:20:49] GPTs can have issues too
[00:25:37] Better configuration needed to prevent unrelated inputs
[00:32:20] Using GPT extensively may lead to errors
Topics Covered in This Episode:
1. Impact of ChatGPT Mistakes
2. GPT Testing and Usage Issues
3. Caution When Using GPTs
Keywords:
Microsoft Copilot, leadership skills, learning enhancement, GPT, caution, business purposes, performance evaluation, custom configurations, limitations, conditional instructions, token counters, memory issues, ChatGPT, incorrect information, hallucinations, generative AI, AI news, Tesla AI, 2024 presidential campaign, Meta, IBM, AI Alliance, document referencing, memory limit, token consumption, configuration instructions, OpenAI upgrades, knowledge retention.
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Video jobs are probably going to disappear. Why? Because AI video generators are starting to become more developed and viable. With updates from established video tools like Runway to newer AI video models like Pika Labs 1.0 and Meta Emu, we're showcasing why AI video is here to stay.
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Website: YourEverydayAI.com
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Timestamps:
[00:02:05] Daily AI news
[00:07:00] Pika Labs 1.0
[00:14:50] Runway
[00:20:00] Meta Emu
[00:25:30] Hot takes about AI video
[00:31:25] Future of AI video
[00:39:00] Final takeaway
Topics Covered in This Episode:
1. Impact of AI Video on Various Industries
2. Use Cases for AI Video
3. Future of AI Video
Keywords:
AI impact on industries, AI in history, AI in fashion, AI in advertising, AI predictions, AI and dream reenactment, AI in history education, AI in interactive videos, virtual fashion shows, AI in legal contexts, generative AI in video, personalized ads, targeted selling experiences, AI video camera controls, motion brush in generative AI, Meta's emu video, Pica Labs text-to-video technology, AI content creation, Pica Labs 1.0, Runway updates and features, AI news, mainstream media, AI in commercials, AI in online ads, AI-generated content, animated videos, high-quality animated content, personalized content creation, custom dream movies
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Amazon Q was unveiled at the re:Invent conference 2023. Designed specifically for work, Amazon Q promises to revolutionize how we approach tasks, decision-making, and creativity in the workplace. But how does Amazon Q stack up against established players like ChatGPT or Microsoft's Copilot? Let's find out.
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Website: YourEverydayAI.com
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Timestamps:
[00:02:00] Daily AI news
[00:05:30] What's Amazon Q?
[00:09:10] Amazon Q capabilities
[00:18:13] Who is Amazon Q for?
[00:20:15] Amazon Q vs ChatGPT and Microsoft Copilot
[00:31:07] Initial reaction of Amazon Q
[00:33:55] What Amazon got wrong with Q
[00:41:50] Audience questions
[00:45:15] Final takeaway
Topics Covered in This Episode:
1. Introduction to Amazon Q
2. Amazon Q Features and Integration
3. Market and Target Audience
4. Competition and Potential Impact
5. Technical Aspects and Suitability
Keywords:
Amazon Q, AI chatbot, Amazon Web Service, enterprise, generative AI, AWS cloud, business apps, Zendesk, Dropbox, Microsoft 365, Salesforce, Jira, data security, data access, enterprise users, small businesses, cloud provider, marketing strategy, Amazon Que, Microsoft 365 Copilot, technology expert, stock price, Chat GPT, OpenAI, Meta, Microsoft Azure, Zapier, Microsoft 365 Copilot, AI news, US-Saudi venture capital.
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Why do drugs fail at such a high rate? What can AI do about? We're asking an expert helping to lead the Pharma industry. Chris Gibson, Co-Founder and CEO at Recursion, joins us to discuss how GenAI is reshaping the Pharma industry and medical drugs.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:15] Daily AI news
[00:04:00] About Chris and Recursion
[00:06:30] Impact of AI and reducing drug failure
[00:12:15] Work being done in drug testing and AI
[00:16:45] LLMs being used in Pharma
[00:19:10] Challenges with data
[00:23:20] Future of medicine with AI
[00:26:20] Chris' final takeaway
Topics Covered in This Episode:
1. Why drugs fail at a high rate
2. Work being done in drug testing
3. AI's impact on drug research
4. How AI and drug testing work
5. Future of medicine with AI
Keywords:
AI, artificial intelligence, drug failure rates, Amazon, reInvent 2023 conference, Titan AI image generator, DeepMind, chemical materials, computer chips, solar panel, ChatGPT, Sam Altman, OpenAI, Microsoft, pharmaceutical industry, clinical trials, FDA approval process, data problem, technology tools, large language models, molecules, Trillions of relationships, public data set, Amazon Prime, healthcare, preventative medicine, AGI, mission-driven AI, Recursion, everyday AI show.
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ChatGPT plugins are still the most underutilized and most powerful GenAI tools out there. So with all the new ChatGPT updates, what's new with plugins and how do they work now? We're showing you how ChatGPT plugins work now and what's changed.
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Website: YourEverydayAI.com
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Timestamps:
[00:02:15] Daily AI news
[00:06:30] New custom GPTs vs Plugins
[00:10:05] ChatGPT plugin basics
[00:16:50] ChatGPT Plugins mode new knowledge cutoff
[00:22:05] Web reading functionality
[00:29:00] Switching plugins in a chat
[00:36:15] Audience questions
Topics Covered in This Episode:
1. Introduction to ChatGPT Plug-ins and Custom GPTs
2. New ChatGPT plugin updates
3. How to use ChatGPT plugins
Keywords:
AI podcast, plug-ins, custom GPTs, generative AI, artificial intelligence, Zapier integration, OpenAI updates, ChatGPT plug-ins, AI news, Piccoloabs, Amazon Q, NVIDIA partnership, cloud AI supercomputer, AI training chips, no-code interface, DALL E integration, CloudFlare outage, ChatGPT Plus, GPT-4, Bing browsing, data analysis, plug-in store, Excel sheet handling, knowledge cutoff, web reader plug-in, SEO perspective, Scholar AI plugin, AI
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Why do AI chats lie? It probably starts with understanding the model's knowledge cutoff. Why does an AI's knowledge have an expiration date, and how does this impact our interaction with technology? We're cutting through the tech jargon to give you a clear view of how AI thinks and learns.
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Join the discussion: Ask Jordan questions about AI and LLMs
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:50] Daily AI news
[00:05:50] Importance of knowledge cutoff in LLMs
[00:07:55] How LLMs are trained
[00:10:00] Knowledge cutoff is like a text book
[00:14:30] ChatGPT modes and knowledge cutoff dates
[00:21:50] Anthropic Claude knowledge cutoff date
[00:27:35] Microsoft Bing Chat modes and knowledge cutoff dates
[00:31:30] Google Bard knowledge cutoff date
[00:33:40] Recap of LLM knowledge cutoff dates
[00:35:30] Final thoughts
Topics Covered in This Episode:
1. Understanding the Knowledge Cutoff in Large Language Models
2. Understanding Learning Models and Knowledge Cutoffs
3. Knowledge Cutoff Dates in Different Generative AI Models
Keywords:
AI, generative AI, Sports Illustrated, investigation, fake author names, AI-generated profile images, Symphony, Google, voice analytics, financial firms, natural language processing, Amazon, reInvent conference, Bedrock service, knowledge cutoff, large language models, web scraping, training, transparency, Anthropic Claude, Microsoft Bing Chat, human confirmation, GPT 4, Bing Chat modes, Google Bard, Palm 2, learning models, textbook, GPT 3.5, prompting, ChatGPT.
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Will the future of GenAI lead to using AI celebrity voices? How will tech like AI voice cloning come into play? Cliff Weitzman, Founder and CEO of Speechify, joins us to discuss how it's text-to-speech AI is shaping the future of GenAI and its capabilities.
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Timestamps:
[00:01:00] Daily AI news
[00:03:40] About Cliff and Speechify
[00:07:20] Celebrity AI voices and Speechify
[00:12:50] Safety in text-to-voice space
[00:18:12] Use cases for text-to-speech
[00:21:05] Audience questions
[00:24:10] Future of text-to-speech
[00:27:28] Is written word becoming less impactful?
[00:31:30] Using text-to-speech as professionals
Topics Covered in This Episode:
1. Speechify's features and applications
2. Practical uses of Speechify
3. Concerns and precautions regarding AI-generated voices
4. Text-to-speech advancements and future prospects
Keywords:
Snoop Dogg, Gwyneth Paltrow, Mr. Beast, Speechify, voice generation, deep learning, fine-tuning, celebrities, free version, premium version, reading, email, Google Docs, news, PDFs, physical documents, user affinity, AI engineering team, exceptional data, Meta, AI safety, real estate, sales, Chrome extension, web app, Mac app, contracts, terms of service, AI phone, AI smartphone, generative AI roles, learning differences, voice cloning, authenticity, identity theft, scams, reading speed, dyslexia, decoding challenge, multiplayer experience, translation, customization, books, content, audiobooks, learning, nursing programs, AI
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Learning and development will have large changes due to AI. Because of AI's advancements, the way in which we're able to learn is now easier and faster than ever. Kambria Dumesnil, Founder of Al Innovation Lounge, join us to discuss how AI is reimagining the learning experience.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
[00:01:45] About Kambria and L&D
[00:06:45] Ways GenAI can make learning interactive
[00:08:40] Reception of AI in L&D
[00:13:10] AI uses cases in learning
[00:15:00] Using custom GPTs to learn
[00:19:30] Future of GenAI and L&D
[00:21:10] Advice on using GenAI in L&D
[00:23:45] Kambria's final takeaway
Topics Covered in This Episode:
1. Understanding Learning and Development (L&D)
2. The Role of Generative AI in L&D
3. Specific Use Cases for Generative AI in L&D
4. Future Directions and Developments in Generative AI and L&D
Keywords:
Learning and development, generative AI, Everyday AI, livestream, podcast, free daily newsletter, AI Innovation Lounge, workflows, course objectives, course outlines, optimization, learning experience, learning simulations, expert, AI impact, careers, advancements, companies, conversation, daily newsletter, organization, elearning, virtual experiences, subject matter experts, microlearning, interactive scenarios, conversational AI
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Keeping up with AI can seem like a tsunami at times. How can we make use of all the need tools and technologies that are always coming out. What strategies can we create to put AI to use? Usha Jagannathan, a Responsible AI Leader and Ex-McKinsey, joins us to discuss how to use AI for recruitment, retention, and growth.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:25] Daily AI news
[00:05:10] About Usha Jagannathan
[00:10:08] Using AI in recruitment
[00:12:50] Upskilling with AI
[00:18:33] AI has an easy learning curve
[00:23:22] Example of an AI solution
[00:27:33] Identifying skills with AI
[00:31:08] Usha's final takeaway
Topics Covered in This Episode:
1. Strategies for recruitment in AI
2. Upskilling and reskilling with AI
3. Navigating the ever-evolving AI landscape
4. Identifying skills in candidates or employees using AI
Keywords:
Usha Jagannathan, software engineering, corporate work, Marsh McLennan, McKinsey, fairness, transparency, accountability, AI applications, smaller companies, AI recruitment strategies, current trends in recruitment, job seekers, company study, upskilling, reskilling, changing job market, company-specific skills, half-life of skills, reskilling revolution, AI landscape, technology skills, technologically obsolete, AI learning, low-code solutions, technology training programs, partnerships with universities, apprenticeship programs, work-study programs, customer-facing solutions, claims approval, OpenAI, Sam Altman, Microsoft CEO, Satya Nadella, Anthropics, Claude language model, extended context window, API improvements, OpenAI's Playground, Greg Brockman, diversity in leadership, explainability in AI, lime, SHAP, AI algorithms, project work, industry knowledge, unpaid internships, low code development, cloud services, ethically responsible AI products
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The last 72 hours for OpenAI and ChatGPT has been insane! So with Sam Altman, the CEO of OpenAI, apparently leaving for Microsoft, what does it mean for the future of ChatGPT and OpenAI? We're breaking down this crazy saga and going over 7 things you need to know about OpenAI.
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Website: YourEverydayAI.com
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Timestamps:
[00:02:14] Daily AI news
[00:06:00] Recap of OpenAI drama
[00:10:55] #1 - The Ink Hasn't Dried
[00:14:55] #2 - There are More Unknowns Than Knowns
[00:21:40] #3 - This Impacts The US Economy
[00:27:35] #4 - OpenAI is at Great Risk
[00:33:15] #5 - The OpenAI Board is Inept
[00:42:00] #6 - Satya Nadella is the GOAT
[00:45:35] #7 - OpenAI Downfall Could Be Catastrophic
[00:51:35] Winners and Losers of the OpenAI situation
Topics Covered in This Episode:
1. Sam Altman leaving OpenAI and the Future of the Organization
2. Speculation on the Possible Role of Adam D'Angelo in Sam Altman's Firing
3. Satya Nadella's Influence and Microsoft's Potential Role
4. Potential Consequences for OpenAI
5. Growing Discontent of OpenAI Employees
Keywords:
Adam D'Angelo, Quora, OpenAI, Poe.com, chatbots, monetization, GPTs, GPT store, competitors, speculation, board, Sam Altman, firing, Satya Nadella, Microsoft, GOAT, mediation, conversations, investors, market cap, employees, stock options, equity, instability, talent, institutional knowledge, succession plan, crisis communication, Amazon, Anthropic, Google, AI, ChatGPT
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Do you trust the AI tools that you use? Are they ethical and safe? We often overlook the safety behind AI and it's something we should pay attention to. Mark Surman, President at Mozilla Foundation, joins us to discuss how we can trust and use ethical AI.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:05] Daily AI news
[00:03:15] About Mark and Mozilla Foundation
[00:06:20] Big Tech and ethical AI
[00:09:20] Is AI unsafe?
[00:11:05] Responsible AI regulation
[00:16:33] Creating balanced government regulation
[00:20:25] Is AI too accessible?
[00:23:00] Resources for AI best practices
[00:25:30] AI concerns to be aware of
[00:30:00] Mark's final takeaway
Topics Covered in This Episode:
1. Future of AI regulation
2. Balancing interests of humanity and government
3. How to make and use AI responsibly
4. Concerns with AI
Keywords:
AI space, risks, guardrails, AI development, misinformation, national elections, deep fake voices, fake content, sophisticated AI tools, generative AI systems, regulatory challenges, government accountability, expertise, company incentives, Meta's responsible AI team, ethical considerations, faster development, friction, balance, innovation, governments, regulations, public interest, technology, government involvement, society, progress, politically motivated, Jordan Wilson, Mozilla, show notes, Mark Surman, societal concerns, individual concerns, misinformation, authenticity, shared content, data, generative AI, control, interests, transparency, open source AI, regulation, accuracy, trustworthiness, hallucinations, discrimination, reports, software, OpenAI, CEO, rumors, high-ranking employees, Microsoft, discussions, Facebook, responsible AI team, Germany, France, Italy, agreement, future AI regulation, public interest, humanity, safety, profit-making interests
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Biology plays a large part in our lives and human development. So how can we use AI to shape the world that we live in? Anna Marie Wagner, SVP, Head of AI at Ginkgo Bioworks, Inc., joins us to discuss how AI is changing the future of biology and its implications for humanity and our world.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:20] Daily AI news
[00:04:30] About Anna Marie and Ginkgo Bioworks, Inc.
[00:09:30] The future of AI in biology
[00:12:30] Challenges of AI in biology
[00:14:30] Real world examples of AI in biology
[00:19:55] GenAI advancements in biology
[00:22:05] AI and gene modification
[00:26:35] AI regulation in biology
[00:28:45] Anna Marie's final takeaway
Topics Covered in This Episode:
1. Impact of AI on Biology
2. Advancement in AI and Biology
3. AI Models and Protein Sequences
4. Potential Uses of AI and Gene Editing
Keywords:
AI models, protein sequences, biosecurity, AI and biology, DNA, IARPA, training AI models, retraining AI models, architecture of human language, architecture of biology, structured data, generative AI, large language models, unstructured data, CRISPR, gene modification, microbes, defense against viruses, gene editing, genetic disorders, engineering applications, regulations, responsible use, computer science, education, awareness, reinforcement learning, rules of biology, high-quality training data, protein engineering, catalysis reactions
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If you work at an enterprise company, using GenAI might not be as easy as you think. From different departments using different LLMs to people who may have specific needs, what's the best way to integrate AI in enterprises? Ben Mandelstein, Worldwide Sales Leader at IBM watsonx Orchestrate, joins us to discuss how to infuse GenAI into enterprise workflows.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:30] Daily AI news
[00:03:18] About Ben and IBM watsonx Orchestrate
[00:08:15] IBM watsonx platform
[00:12:10] Infusing GenAI into an enterprise
[00:17:25] Who can use watsonx?
[00:20:10] Using IBM watsonx Orchestrate
[00:26:00] How IBM helps businesses
[00:33:55] Ben's final takeaway
Topics Covered in This Episode:
1. IBM watsonx Orchestra Overview
2. Simplifying Generative AI with watsonx Orchestra
3. Identifying Impactful Areas for Implementation
4. Generative AI Implementation in IBM
Keywords:
Microsoft, Maya 100, Cobalt 100, AI development, Ignite conference, BingChat, BingChat Enterprise, Copilot, YouTube, AI tool, clone famous singers' voices, GPT 4, lawyers, bar exam, worldwide sales leader, IBM's Watson X Orchestra, AI assistant, tasks, applications, partnership ecosystem, multiple pieces, nontechnical users, small businesses, startups, generative AI models, seamless workflow, automated workflow, content generation, add-on, existing systems, update processes, talent acquisition, HR, marketing, operations, win, implementation, upskilling, influencers, building models, governance, Watson Excel Orchestrate, prompt creation, large language models, SMBs, automation, economi
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Today we have the opportunity to sit down with a leader from one of the world's largest companies helping to push GenAI forward. Adam Scraba, Director of Marketing at NVIDIA, joins us to discuss how GenAI and data can unlock new ways for us to interact with our world.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:30] Daily AI news
[00:04:15] About Adam Scraba and NVIDIA
[00:05:55] How AI and data will change our world
[00:10:20] NVIDIA's role in AI
[00:20:00] Ways NVIDIA uses data to improve daily lives
[00:24:30] NVIDIA's GPUs and their impact
[00:28:30] How NVIDIA creates safety in communities
[00:30:40] Smart factories and autonomous robots
[00:34:45] Adam's final takeaway
Topics Covered in This Episode:
1. NVIDIA's Role in AI and Automation
2. Gen AI and its Implications
4. How NVIDIA Uses AI and Data To Improve Daily Lives
5. NVIDIA's Role in Safety
Keywords:
GPUs, computer chips, graphical processing units, NVIDIA, advanced, efficient, AI, generative AI, gaming, devices, software company, software stack, public safety, understanding, dangerous situations, efficiency, safety, autonomous robots, smart factories, warehouses, shipping centers, everyday workplaces, accessibility, healthcare sector, sensors, collaborates, optimizing physical processes, retail experiences, manufacturing processes, streamlining operations, increasing productivity, natural and automated interactions, accelerated computing company.
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How can you use AI in business consulting to help your company grow and win? Damon Pistulka, Co-Founder of Exit Your Way, joins us to break down practical use cases to use AI for your business. From marketing and data implementation to improving processes and structure, we discuss ways to grow with AI.
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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:00:55] Daily AI news
[00:03:10] About Damon and Exit Your Way
[00:06:10] Are business owners curious about AI?
[00:11:20] Ways AI help businesses
[00:13:30] Safeguards around AI
[00:15:20] Easy wins with AI
[00:20:30] Using AI tools
[00:25:45] GenAI as an employee
[00:31:40] Damon's final advice
Topics Covered in This Episode:
1. Benefits of AI for Businesses
2. Using AI as an employee
3. Marketing and Data Analysis with AI
4. ChatGPT's Capabilities and Limitations
Keywords:
Accenture, AI workforce, generative AI, AI for clients, Oxford study, heart attack risk, CT scans, OpenAI, superintelligence, artificial general intelligence, business owners, AI research, data analysis, content generation, ChatGPT, math, advanced computation, experts, small businesses, business value, processes, detailed tasks, creativity, flexibility, AI-powered CEO, Polish beverage company, publicity stunt, Everyday AI, marketing director, NVIDIA, online businesses, Empire Flippers, generative AI in marketing, privacy concerns, AI apps, web page structure, data analysis.
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How will AI innovations impact financial regulators? It may not be something you think about if you're not in the industry but it's going to impact us all more than you think. Kyle Hauptman, Vice Chairman at the National Credit Union Administration, joins us to discuss how AI is changing the role of financial regulators.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:10] Daily AI news
[00:03:15] About Kyle and the National Credit Union Administration
[00:06:50] GenAI and financial regulation
[00:10:15] GenAI's impact on US economy
[00:13:40] Public perception of GenAI
[00:17:30] How will AI impact financial regulation jobs?
[00:21:25] AI and financial regulator's impact on everyday people
[00:24:20] Kyle's advice on GenAI and it's impact on financial regulators
Topics Covered in This Episode:
1. Generative AI and the financial sector
2. How AI innovation will change financial regulators
3. Public perception and future of generative AI
4. Use of generative AI in credit unions and financial services
Keywords:
AI, AI innovation, financial regulators, impact, excited, livestream podcast, newsletter, special guest, AI news, talent, AI execs, compensation packages, OpenAI, Google AI researchers, job listings, OpenAI, salary ranges, Microsoft, stock, all-time high, Ignite conference, artificial intelligence, AI chip, Athena, reliance, NVIDIA, AI infrastructure, credit unions, National Credit Union Administration, insurer, regulator, fraud detection, generative AI, language models, financial regulation, public perception, Internet moment, US economy, negative perception, positive perception, financial sector jobs, financial inclusion, economic impact, technology, Industry advancement, lending decisions, customer service, forms, up-to-date information, fair lending, regulations.
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How is AI going to change data analysis? Will spreadsheets and databases become irrelevant? Zain Hoda, Co-Founder of Vanna AI, joins us to discuss what the future of data analysis and data teams will look like with AI.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
[00:01:12] Daily AI news
[00:03:30] About Zain and Vanna AI
[00:06:00] How AI is changing data analysis
[00:12:20] Impact on data teams in companies
[00:15:00] LLMs and data misconceptions
[00:21:12] Enterprise LLMs and data safety
[00:27:00] GPT-4 is best for data analysis
[00:29:20] Zain's final takeaway
Topics Covered in This Episode:
1. The Future of AI in Data Analysis
2. Use of Generative AI in Data Analysis
3. Concerns and Considerations Around Generative AI
4. Accelerating Business User Questions and Data Analysis
Keywords:
data analysis, AI, ChatGPT, GPT-4, GenAI, enterprise, LLMs, data
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Why are AI models so biased? Whether it's ChatGPT or an AI image generator, LLMs often have certain biases and tendencies. Nick Schmidt, Founder & CTO of SolasAI & BLDS, LLC, joins us to discuss how to understand and fix biased AI.
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Timestamps:
[00:01:20] Daily AI news
[00:04:00] About Nick and Solas AI
[00:07:14] Algorithm misuse can lead to discrimination
[00:11:54] 3-step burden shifting process to address discrimination
[00:14:18] Internet usage leads to biased data collection
[00:17:30] AI bias, accessibility, and user control insights
[00:22:59] Algorithm fairness through regulations
[00:26:16] Algorithmic decisioning and human biases
[00:27:32] How to address biases in AI models?
Topics Covered in This Episode:
1. Prevalence of Bias in AI Models
2. Detection and Mitigation of Bias in Algorithms
3. Practical Solutions for Addressing Bias in AI
Keywords:
AI bias, discrimination, image generators, language models, input data, burden shifting process, biased information, societal biases, fairness, exclusion, collective punishment, biased AI, practical advice, best practices, everyday users, legal framework, AI news, smart devices, NVIDIA, animated films, detection, mitigation, discriminatory outcomes, generative AI, model development, algorithmic decision-making, dynamic models, reinforcement, algorithmic fairness, Solas AI, newsletter, daily AI
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What's going to happen with lawyers, attorneys, and the business of law with AI? Will AI help to improve the role of lawyers and how law is conducted? Enam Hoque, Consultant at LawBeta, joins us to discuss AI and the future of law. From the perspective of those in law and those affected by it, we cover a variety of areas.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:18] Daily AI news
[00:04:15] About Enam and his law career
[00:06:45] About LawBeta and AI
[00:11:05] The future of law and LLMs
[00:13:40] How AI can help lawyers
[00:17:11] Issues with ChatGPT hallucinations
[00:22:30] Ways AI will change the law landscape
[00:29:00] AI vs professional law
[00:33:00] Enam's final takeaway
Topics Covered in This Episode:
1. Future of AI and law
2. AI's impact on lawyers and the law industry
3. How LLMs can be used in law
4. How AI and law will impact everyday people
Keywords:
law, lawyer, attorney, ChatGPT, business, business of law, professional, LLMs, hallucinations, AI, GenAI
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When will our work lives become infused with AI and we find AI everywhere we go? How can we transition to that AI-first world? Tina Yazdi, Founder and Host of The AI-First Business Podcast, joins us to discuss how you can transition your business and career to an AI-first world.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:20] Daily AI news
[00:04:15] About Tina and AI-First Business Podcast
[00:06:17] Challenges business face adding AI
[00:08:55] How long until AI is everywhere?
[00:12:40] Businesses transitioning to AI-first
[00:17:45] Will AI help balance competition?
[00:22:25] AI benefits for enterprises
[00:25:25] Tina's final advice
Topics Covered in This Episode:
1. Challenges businesses face in implementing AI
2. The importance of data quality and collection
3. Essential steps in AI implementation
4. Business results and productivity opportunities with AI
Keywords:
AI, work lives, infused with AI, AI first world, transition, decade away, couple years, months, AI news, livestream, podcast, daily newsletter, OpenAI developers day, GPT 4 turbo, ChatGPT, developers, outside documents, modalities, DALL E 3, vision, upload documents, cheaper, copyright shield, enterprise, API customers, legal protection, price, default mode, memory, hallucinations, custom GPTs, data stack, narratives, organizations, data availability, data pipelines, data quality.
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Can AI actually be used for good? One of the biggest misconceptions around AI is the fear that it'll take over everything and only cause destruction. But what can AI do to help us? Mark Minevich, a UN advisor, Chief Digital AI Strategist, and Global Social Innovation Technology Executive & Chair President at Going Global Ventures Inc., joins us to discuss strategies for ethical and sustainable AI development.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:10] Daily AI news
[00:03:25] About Mark and his AI involvement
[00:07:40] Use cases of AI helping society
[00:13:10] Programs around global focus on responsible AI
[00:15:50] Challenges governments face in implementing AI
[00:20:20] International collaboration crucial for AI progress
[00:25:53] Mark's advice for using AI
Topics Covered in This Episode:
1. Importance of AI education
2. Government responsibility in AI development
3. Competitive landscape in AI
4. Balancing job displacements and new job creation through AI
Keywords:
government responsibility, private sector, digital capacity, AI, job opportunities, cognitive reasoning, creativity, gratitude, AI news, actionable insights, website visit, subscribe, rating, daily newsletter, Mark Minevich, robotics, machine learning, generative AI, convoluted neural networks, safe AI, trustworthy AI, fair AI, President Biden, executive order, legislation, innovation, ethics, privacy, identity theft, job displacements, AI engineers, IoT maintenance workers, digital capacity in universities, preparation for new economy, competitive landscape, US dominance, military competition, generative AI milestone, government role, turbulent period, budget allocation, AI development, Everyday AI Show, simplifying AI, practical applications, OpenAI updates, Elon Musk's chatbot competitor, AI funding, AI unicorns, United States commitment, European Union, healthcare improvement, climate issues, ethical AI, responsible AI, global problems, skills development, changing world, cognitive AI agent, dark shadows in AI, AI for the planet, AquaConnect, HASP Power Systems, Alba Climate Project, corporate efficiency, social issues, capital investment, inclusiveness, diversity, collaboration, greenhouse emissions, pollution, disease spreading, biodiversity, health management, energy management, generative AI development, responsible AI initiatives, funding, governance, regulatory authorities.
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What does the future of writing and content creation look like? With GenAI able to produce content so quickly, what will happen to writers and creators? Matt Thomas, Owner of Perfect Prose Writing and Editing, joins us to discuss how the role of writers and creators will change and adapt with AI.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:50] About Matt and Perfect Prose Writing and Editing
[00:03:33] Matt's first reaction to GPT 3 and learning curve
[00:07:55] Using ChatGPT as a writer
[00:15:14] Prompt engineering enhances responses
[00:19:15] Future of writers and creators with generative AI
[00:24:00] Matt's experiments with AI vs human
[00:25:40] Creative AI use cases
[00:29:40] Matt's final takeaway
Topics Covered in This Episode:
1. Leveraging AI for writing and content creation
2. Using ChatGPT for word choice and ideation
3. Advice for writers and content creators leveraging AI
4. The future of writing and content creation with AI
Keywords:
benefits of using ChatGPT, writing tool, separate entity, replacement for human writing, custom instructions, writing style, varying tones of voice, context and background information, prompt engineering, good writing, specific, clear, concise language, structured and organized writing, AI is the future, creative possibilities, copy AI writer Jarvis, potential threat, mediocre writers, Unfluffer, human editing, AI-generated content, writing partner, second opinion, bouncing off ideas, interactive virtual thesaurus, word choice, objective outside opinion, structured outline, ideation, different ways to frame an idea, central place for successful prompts.
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So many AI startups are going to run out of money, fail, and ultimately die. We know. That's a harsh take but it's the unfortunate truth. So what is the cause of all these AI startups dying? That's what we're discussing today along with the future of startups and how they're impacted by AI.
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Website: YourEverydayAI.com
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Timestamps:
[00:02:00] The rise of AI startups
[00:08:01] Explosive growth in VC funding for AI
[00:11:42] AI startup explosion fueled by money influx
[00:13:51] Startups using someone else's technology will fail
[00:16:07] Build actual products, solve problems, forget money
[00:21:50] Why startups fail
[00:24:52] ChatGPT's new mode, All Tools
[00:27:10] Why ChatGPT will take over
[00:32:07] Microsoft 365 Copilot will be disruptive
[00:38:02] Invest in companies, not just features
Topics Covered in This Episode:
1. Factors driving the growth of AI startups
2. Overview of the impact AI has on the business landscape
3. Challenges and reasons for AI startup failures
4. Cautionary notes for startups and investors
Keywords:
AI startups, generative AI, innovation, startups, failing startups, pre-money valuation, OpenAI, ChatGPT, AI tools, VC industry, private equity, oversaturation, high valuations, disjointed nature, multiple AI tools, Copy AI, Cloud, Mid Journey, Runway, Pica, Canva, Microsoft 365 Copilot, commercial availability, raising awareness, unique products, dependency on OpenAI and Google, Everyday AI newsletter, generative AI with plugins, business landscape, influx of AI startups, funding, degenerative AI market potential.
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If you think you know ChatGPT, think again. There's been recent leaks and new features that will change the way we use ChatGPT. We're uncovering the latest features, upcoming updates, and insightful predictions about how ChatGPT will shape the way we work, learn, and interact in the future.
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Join the discussion: Ask Jordan questions about ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:27] Overview of new unofficial features in ChatGPT
[00:05:25] History of GPT technology
[00:12:17] ChatGPT features coming soon
[00:14:23] Preset knowledge cut off dates
[00:19:06] Multimodal chat allows diverse input and output
[00:23:16] All Tools mode expands ChatGPT capabilities
[00:26:06] Future internet: Multimodal interaction with up-to-date information
[00:29:37] Future of work: remote, hybrid, collaborative
Topics Covered in This Episode:
1. Timeline of ChatGPT Development
2. Features and Use Cases of ChatGPT
3. Announcement of Future ChatGPT Updates
4. Discussion on Remote Work and Collaboration
Keywords:
future of work, remote work, hybrid work, in-person work, collaboration, language models, ChatGPT, OpenAI, collaborative tool, Google Docs, competitiveness, market, affordability, developers, Developers Conference, prompt course, prompt polish course, specific mode, Browse with Bing, internet querying, advanced data analysis, modes and tools, image generation, knowledge cutoff, leaks, outdated knowledge, generative AI, ChatGPT, multimodality, artificial general intelligence (AGI), All Tools mode.
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The communications field has been filled with tons of fears and questions around AI. With so many AI use cases matching those in the industry, many are wondering what is next. Megan Thomas, Owner/Director of Buzz Communications, joins us to discuss how to stay irreplaceable in the communications industry and adapt to AI.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:35] Daily AI news
[00:04:00] Mixed feelings in communications about AI
[00:06:15] Australian guidelines around AI
[00:07:20] Megan's experience with AI
[00:09:20] Advice for AI in communications
[00:11:50] Adapting to AI
[00:15:12] How AI helps us communicate
[00:17:15] Use case for AI in communications
[00:19:50] Final takeaway
Topics Covered in This Episode:
1. Concerns and attitudes towards AI in the communications industry
2. Exploration of generative AI in creativity and communication
Keywords:
fear, nervousness, communications field, AI, industry, careers, generative AI systems, communicating, stay irreplaceable, podcast, daily newsletter, keep up to date, experts, latest and greatest, sign up, take notes, know more, daily news, voluntary code of conduct, regulating AI, risks, misuse of technology, landmark, AI governance, major countries, promoting safe and trustworthy AI, G7 countries, Canada, France, Germany, Italy, Japan, UK, US, European Union, AI Act, hands off approach, economic growth, Biden White House, executive order, economic reports, productivity, GDP growth rates, growth, Goldman Sachs, Australia, owner and director, Buzz Communications, AI impact, heartbeat, nervous, excited, terrified, ChatGPT, graphic design AI, job impact survey, BuzzFeed, lay off, laws, ethical guidelines, AI deployment, regulation, interactions, generative AI system, magical, Metaverse, digital art exhibition, NFTs, AI image generators, penny dropped, possibility of creativity, experimenting, technical person, corporate communicator, advertising, copywriting, corporate comms roles, side hustle, main stage, curious, opportunity.
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What effect will AI have on financial risk management? How will financial institutions change and what impact will it have on consumers? Sandeep Maira, Founder & CTO of Raven Risk Intelligence, joins us to discuss the future of financial risk management with AI and how it'll affect us all.
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Join the discussion: Ask Sandeep and Jordan questions about AI and financial risk
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Timestamps:
[00:01:35] Daily AI news
[00:04:20] About Sandeep and Raven Risk Intelligence
[00:08:15] How AI changes financial risk management
[00:15:30] Challenges of adding GenAI to financial risk
[00:25:15] The impact AI has on consumers
[00:28:00] Final takeaway
Topics Covered in This Episode:
1. Current State of Financial Risk Management
2. AI and Financial Risk Management
3. Challenges and Opportunities in AI Implementation
4. The Future of AI in Risk Management
Keywords:
film industry, creative individuals, break in, reach large audiences, internet, job opportunities, SEO, keywords, productivity, tools, advantage, open capabilities, language models, data sets, credit, access to credit, minority populations, traditional credit history, financial risk management, financial institutions, consumers, commercial credit lending, credit analysts, borrower, business strategy, management strength, competitive threats, automate, creditworthiness, dynamic information, unstructured data, narrow approach, tabular format models, real-time events, economy, human judgment, decision-making, large language models, reinforcement learning, inaccurate model outputs, human oversight, regulated finance, machine learning, human inputs, consumer credit, explainability, deep neural networks, traceability, success of AI implementation, turnover, tedious tasks, actors' jobs, interconnectivity, risk analytics, Raven Risk Intelligence, collapse of Silicon Valley Bank, structured data, macroeconomic indicators, automated tools, unstructured data, risk management techniques, ChatGPT updates, knowledge cutoff date, all tools mode, photos, PDFs, DALL E images
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What do future careers look like in the age of enterprise AI? What jobs will still be around and what new job will come out it? Will robots become our coworkers or managers? Christian Hammer, Founder and CEO of Vala AI Inc., joins us to discuss the future of careers in the enterprise space and what role AI will play.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:25] Daily AI news
[00:04:15] About Christian and Vala AI
[00:07:00] Future of careers with enterprise AI
[00:11:30] Will AI show up in all roles?
[00:18:40] Making the future of work collaborative
[00:23:35] How are enterprises using predictive AI?
[00:27:00] Preparing for future AI careers
[00:31:00] Will careers become more technical?
[00:35:20] Christian's final takeaway
Topics Covered in This Episode:
1. Short-Term and Long-Term Impacts of Generative AI
2. Preparing for Future Careers in Generative AI
3. Advice for Future Careers in the Age of Enterprise AI
4. Technology Field Shift and Availability
5. Advancements in Technology Interfaces and Impact on Jobs
Keywords:
technology listening, privacy, trust issue, technology providers, specific tasks, invasion of privacy, share conversations, balance, predictive AI, enterprise, inventory management, personalized advertising, Key Performance Indicators (KPIs), lagging data, web development, distance learning, document collaboration, startups, large enterprises, mundane tasks, technology organizations, ClearPath, generative AI, large companies, writing job descriptions, HR, recruiting teams, specialized tools, personalized assistants, decision-making power, collective preparation, future careers, individual roles, environmental health and safety, personal AI assistant, hardware and software engineering, automation
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Welcome back to part 2 of building a brand live with AI! Can ChatGPT and other AI tools actually help you build your company from scratch? We're picking up where we left off in part 1 and showing you how to create a competitive SWOT, generate product photos, and even set up an entire website in seconds! Buckle up and get ready to ride!
Watch Part 1: Build a Brand Live with AI (Part 1)
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Join the discussion: Ask Jordan questions about AI and brand building
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:15] Daily AI news
[00:05:20] Part 1 recap
[00:10:00] Competitive SWOT and landing page copy in ChatGPT
[00:16:00] Generating product photos with Midjourney and DALL-E
[00:28:30] Using ChatGPT custom instructions with DALL-E
[00:45:10] Logo touch ups with Canva's AI
[00:50:35] Creating professional product photos with Flair.ai
[00:55:50] Generating a website with Durable
[01:04:00] Final takeaways
Topics Covered in This Episode:
1. Creating a competitive SWOT analysis
2. Generating Marketing Copy with ChatGPT
3. Generating Image Prompts using ChatGPT
4. Using ChatGPT and DALL E to Create Product Images
5. Creating a Website Using AI
Keywords:
mug design, modified mug, pictures of man, digital nomad, entrepreneur, feedback, image preferences, zooming in, upscaling image, interactive presentation, ChatGPT, image prompts, MidJourney, DALL E, text-based image prompt, StableSit mug, travel mug, spill-proof, on the go, remote lifestyle, sturdy base, vacuum-sealed top, target audience, marketing copy, AI regulation, executive order, job displacement, privacy concerns, plug-in packs, proper prompting, CentML, AI chip shortage.
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Can you build an entire brand with AI? What capabilities do ChatGPT and its plugins offer to help go from nothing to a full brand? We're building a brand from scratch using the live audience for help and suggestions. From finding our brand name and identity to brand taglines and logos, we're kicking off part 1 of this brand building with a bang.
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Join the discussion: Ask Jordan questions about AI and brand building
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:00] Daily AI news
[00:06:00] Creating a real world product idea
[00:11:15] Brand names using ChatGPT and plugins
[00:24:00] Competitive analysis and target audience for your brand
[00:34:00] Developing marketing language with ChatGPT
[00:44:45] Designing a logo with DALL-E 3 inside ChatGPT
[00:59:00] Closing thoughts for part 1
Topics Covered in This Episode:
1. Leveraging AI for Brand Building
2. Using ChatGPT for marketing research and copy
3. Designing logos with DALL-E 3 inside ChatGPT
Keywords:
brand building, AI, ChatGPT, internet browsing, plug-ins, task automation, research, reading articles, analyzing competitors, AI news, newsletter, Google Q3 earnings call, ad business, trends, up-to-date information, mid journey, DALL-E, logo design, minimalistic, futuristic, digital nomads, live demonstration, natural language processing, podcast episode, audience participation, artificial intelligence, search generative experience, AI-powered ads, chatbots, consumer product good, ecommerce product, marketing language, product creation
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There are so many amazing and powerful AI image generators. From industry leaders like Midjourney and DALL-E to newer image generators getting released every week. So which one is right for you? Leonard Rodman, ChatGPT and Midjourney Consultant at Rodman.ai, joins us to go over the good, bad, and awesome image generators and how to prompt them to get what you're looking for.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:15] Daily AI news
[00:03:40] About Leonard and Rodman.ai
[00:08:35] Good beginner AI image generator
[00:14:05] Ideogram - one of the originals
[00:17:00] Recognizing AI-generated photos
[00:25:00] Midjourney breakdown
[00:31:15] Audience questions
Topics Covered in This Episode:
1. Introduction to AI Image Generators
2. The Evolution of AI Image Generators
3. Techniques and Tips for Effective AI Image Generation
4. Identifying AI-Generated Images and Legal Considerations
Keywords:
AI image generators, image generation, Leonardo, MidJourney, AI art, AI-generated images, AI technology, image recognition, digital photography, AI advancements, AI-generated storytelling, digital image manipulation, copyright laws, AI-generated venture capital pitches, marketing and advertising, image composition, AI-generated text, image modification, image quality, AI-generated photography, legal issues, DALL-E, digital cameras, AI-generated marketing, AI-generated storytelling, style subsets, image prompts, camera specifications, image ownership, image copyright, AI in different fields
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With AI currently running the US economy, how will it affect venture capitals? Are VCs only going to be investing in AI? Should you add AI to your startup? Leon Eisen, PhD, Venture Partner of Network.VC, joins us to talk about the future of AI in the investment landscape.
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Timestamps:
[00:01:25] Daily AI news
[00:03:50] About Leon and his background
[00:08:05] Will AI help or hurt us?
[00:12:20] AI's impact on startups
[00:18:30] What AI tools are VCs using?
[00:21:10] Advice for startups
[00:25:57] How AI is changing venture capitalists
Topics Covered in This Episode:
1. Impact of AI on the venture capital landscape
2. Impact of generative AI tools on startup founders
3. AI integration in startup operations and processes
Keywords:
artificial intelligence, venture capital landscape, AI-related companies, startups, podcast, newsletter, UK AI summit, competitiveness, Apple, iPhone, Google Pixel, hardware, software, iOS 18, General AI, generative AI, startup founders, decision-making process, pitches, AI governance, Chinese officials, ChatGPT, lean development teams, customer success, optimizing spending, quantum field, machines surpassing humanity, unconsciousness, investing in AI
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How will AI shape or change the HR department? Should Human Resources be using AI? Thiébaud Groner, Senior Manager HR - M&A at Baxter International Inc., joins us to discuss the future of HR and how the role of HR will change from business operations to management.
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Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:30] Daily AI news
[00:04:00] About Thiébaud Groner and Braxton International
[00:06:09] AI's impact on HR
[00:08:30] Use cases for AI in HR
[00:15:45] Ways AI can personalize employee experiences
[00:18:30] Using AI to flag issues
[00:21:40] Will HR applications get an AI update?
[00:24:30] More business use cases for AI in HR
[00:27:00] Thiébaud Groner's advice on AI in HR
Topics Covered in This Episode:
1. Exploring the Role of HR and AI
2. AI for HR Analytics and Documents
3. HR as Change Agents for AI Adoption
4. Implementing AI in HR
Keywords:
AI, human resources department, AI adoption, change the role of HR, understand AI, guest(s), terrorists, AI in terrorist activities, infrastructure security vulnerabilities, IBM, brain-inspired computer chip, North Pole, processing and memory integration, human brain, NVIDIA, GPU chip race, HR departments, reading and writing documents, HR work, job responsibilities, AI in HR practices, employee surveys, generative AI, increased productivity, Microsoft Copilot, ChatGPT, practical business use cases for AI, prompt engineering, productivity, leveraging existing employees, Workday, PowerPoint presentations, changing behavior, change agents for AI, success stories, AI literacy, international aspect of HR departments, HR documentation, nuances in language, rich analytics, off-the-shelf analytics, predictive analytics, European laws, document work assistance, privacy concerns, generative AI in document drafting, Jon Stewart, The Problem with Jon Stewart, Apple streaming platform, AI in China.
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One of the most common phrases we hear is how can I actually use AI? What use cases exist for me to put AI to work for my business? Isar Meitis, CEO of Multiplai, joins us to discuss real business use cases for AI. From data analysis to marketing tasks, we cover a wide variety of topics.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:30] Daily AI news
[00:04:00] About Isar and Multiplai
[00:06:00] How to implement AI in a business
[00:10:00] Roadblocks for companies adopting AI
[00:15:25] Using AI for data analysis
[00:19:30] Data security guidelines for AI
[00:23:30] Using Gen AI for content creation
[00:30:12] Ideation with LLMs
[00:35:05] Isar's advice to start using AI
Topics Covered in This Episode:
1. Integrating AI into business organizations
2. Use cases of AI in data analysis
3. Role of the committee in exploring and implementing AI
4. Content creation and repurposing with AI tools
5. Consulting with experts and utilizing their content
Keywords:
financial data, session, accessibility, Google, database, sensitive information, sharing, continuous education, exploration, AI, podcast, consulting, teaching courses, staying updated, business owners, limited time, learning, experimenting, new tools, advancements, Microsoft, Google, Salesforce, HubSpot, integrating AI features, business leaders, committee, framework, boundaries, misuse of AI, company values, salesperson, compensation, guidelines, boundaries, education, training sessions, third-party tools, ChatGPT, advanced data analysis, insights, marketing, scattered data, automation tools, Zapier, Maker, data security issues, Gen AI tools, pain points, video recording, content repurposing, transcription, SEO purposes, books, advisory board, committee, bouncing ideas, multiple perspectives, CEO, experienced professionals, tech startups, AI impact, education, data security, commercial version, immediate results, low hanging fruits, data analysis, finance, marketing, sales, HR, fear of publishing private data, large language models, MidJourney, Niji app, AI image generation, anime style, version 5, image generations, DALL E, ideation, content creation process
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AI is an amazing tool for better and more effective content creation. So how can creatives infuse AI into their workflow? Brian Sykes, A.I. Whisperer of A.I. Explore, joins us to talk about all things creativity and AI, putting it to work for you, and the future of creativity.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:40] Daily AI news
[00:04:10] About Brian and his background
[00:06:10] Generative AI amplifies creativity
[00:10:40] Does AI replace creatives?
[00:16:30] Prompting AI as a creative
[00:21:40] How creatives can put Gen AI to work
[00:25:15] Avoiding AI bias in content creation
[00:26:40] Getting good AI outputs for content creation
[00:30:00] Does AI level the creative playing field?
[00:31:50] Brian's final advice
Topics Covered in This Episode:
1. Visualization and Creative Possibilities with AI
2. AI's Impact on Creativity
3. Prompting and Engaging Gen AI for content creation
4. Future Crafting and Changes in the Creative Industry
5. Integrating AI into the Creative Workflow
Keywords:
US, China, EU, AI regulation, collaboration, threats, Wendy's, Sweetgreen, Chipotle, IHOP, drive-throughs, visualization, YouTube video, book review, generative AI, creative possibilities, designers, creative professionals, messaging, human element, reverse engineering, back-and-forth conversation, DALL E 3, Canva, technology, leveled the playing field, Adobe, desktop publishing, fear, skills, Photoshop, skill saw, table saw, terminology, storytelling, outcomes, ChatGPT, exercises, learning approach, creative space, future crafting, changes in the creative industry, pace of change, level playing field, personal and professional journey, accessibility, creative workflow, solving creative problems, podcast, newsletter, improvements, copywriting, images, videos, chat GBT, MidJourney platforms, purpose, engaging, Simon Sinek, Adobe certified instructor, Greenweaver, HTML, technology advancements, output quality, decrease in importance of prompting.
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2023 has been the year of generative AI. So what's to come in 2024 for AI and what should you expect? Josh Cavalier, founder of Josh Cavalier.AI, joins us as we break down the top 5 ways that Gen AI will show up in 2024.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:15] Daily AI news
[00:03:54] About Josh and JoshCavalier.AI
[00:06:40] #1 Data Collection
[00:09:50] #2 Automation
[00:13:45] #3 Personalization
[00:18:20] #4 Multimodal
[00:26:05] #5 Prompt Engineering
[00:31:56] Audience Questions
Topics Covered in This Episode:
1. Data Usage and Organization in 2024
2. Automation Trends in 2024
3. Multimodal Workflows and Future Interactions
4. Prompt Engineering and its Future
5. Governance and Legal Aspects of AI
Keywords:
McKinsey report, personalized experience, AI, call center, automation, meaningful interactions, accessibility, workflows, AI tools, automations, top line growth, bottom line, personal productivity, ExCel report, AI-powered companies, US tech leaders, market caps, generative AI, NVIDIA's chips, Gen AI, China, Baidu, ErnieBot 4.0, OpenAI's GPT-4, search market, free daily newsletter, LinkedIn, governance of AI, legal cases, copyright, nefarious use of AI, content creation, multimodal, prompt engineering, automation, Zapier, Make, video transcription, AI workflows, Gen AI, data usage, customer privacy, Adobe, FireFly, Sensei, point of sale information, event, NVIDIA cards, tensor chips, multimodal technology, garbage content, AI-generated content, storytelling skills, ChatGPT
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AI is often being compared to the arrival of the Internet. But will AI be more impactful than the changes that the Internet brought? Today we dive into how AI has and will affect society on every level and the lasting effects it'll have compared to the Internet.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Timestamps:
[00:00:55] Daily AI news
[00:04:15] Comparing AI to the Internet
[00:07:38] The Internet's impact vs AI's impact
[00:13:00] How much bigger will AI's impact be?
[00:17:05] ChatGPT and other LLMs are disruptive
[00:19:30] Why people dismiss AI
[00:24:20] The Internet led to the creation of AI
Topics Covered in This Episode:
1. AI vs. the Internet
2. Understanding Generative AI
3. Misunderstanding of Generative AI
4. AI and Job Displacement
Keywords:
AI, Internet, OpenAI, revenue, CEO, Sam Altman, generative AI, understanding, ethical implications, job security, misconceptions, jobs, intelligence, AI agents, interaction, information sharing, valuation, Neuralink, FDA approval, clinical trials, dangers, invasiveness, financial crash, SEC, Gary Gensler, Everyday AI Show, perplexing, power, industries, streaming videos, Netflix
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How can startups leverage AI to boost their growth? Today we're exploring the intersection of AI, growth, and technology startups. Cindy Fossouo, Founder & CEO of Information Systems Builder joins us to share her experience in helping tech startups use AI for growth.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:15] Daily AI news
[00:05:00] About Cindy and Information Systems Builder
[00:08:15] How tech startups are using AI
[00:10:00] Will AI take jobs in tech?
[00:15:00] Advice for tech founders on using AI
[00:17:50] Best ways to easily implement AI
[00:20:25] Advice on AI and growth
Topics Covered in This Episode:
1. Tech Startups Growing with AI
2. Challenges Tech Startups Face
3. How Tech Startups are Using AI
Keywords:
AI, tech startups, simplify AI, career, business, artificial intelligence, using AI to grow, AI news, Biden administration, AI chip restrictions, Chinese firms, export, safeguarding, US technology, global supply chain, chips, Microsoft Bing, bugs, AI platforms, bug bounty program, security, performance, generative search engine market, Google, legal heat, copyright issues, Google announcement, Duet AI, Workspace, text generated, Google Docs, Gmail, Images, Google Slides, Google Meet, information systems builder, branding, marketing, Apple, Google, messaging, target audience, messaging, product, amazing product, Mark Zuckerberg, customers, messaging, marketing, tech startups
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ChatGPT plugins are a crucial way to help you get more reliable and accurate information out of ChatGPT. Hallucinations can be common when prompting so using ChatGPT plugins helps to reduce them. ScholarAI is one plugin we recommend to help with those issues. Damon Burrow, Co-Founder & CSO of ScholarAI, joins us to talk about the ScholarAI plugin and how to get better information out of ChatGPT.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:30] Daily AI news
[00:04:40] About Damon and ScholarAI
[00:08:10] ScholarAI allows for up-to-date info
[00:13:30] ScholarAI plugin walkthrough
[00:18:05] Other use cases for ScholarAI
[00:21:05] Plugins to pair with ScholarAI
[00:22:00] How ScholarAI came to be
[00:25:00] Audience questions
[00:28:25] Final takeaway on ScholarAI
Topics Covered in This Episode:
1. Importance of Accuracy in AI Systems
2. ScholarAI Plugin for Reliable Information Retrieval
3. ScholarAI Plugin Demonstration
4. Addressing Hallucinations and Lack of Transparency in AI Models
5. Infusing Trust and Accuracy in AI Systems with ScholarAI
Keywords:
generative AI systems, electricity consumption, water for cooling, energy consumption, Argentina's energy usage, electricity usage in AI systems, power usage in generative AI, NVIDIA, AI and ML research, radiation therapy, cancer tumors, large language models, research and commercial settings, accuracy in AI, ScholarAI systems, creativity in generative AI, grounding in truth, domain expertise, peer-reviewed literature, semantic search, synthesizing information, multiple sources, BARD assistant, drafting emails, negotiating job offers, integration into smartphones, data centers, "show me diagrams", visual learning, simplifying information, ChatGPT, ScholarAI plugin, CheckCVT, citing papers, real-time information access, cutoff dates, context window, providing necessary information for ChatGPT, accessing abstracts, paper summaries, user demographics, due diligence, assessing technologies, mergers and acquisitions, journalists, COVID-19 pandemic, misinformation, hallucinations in language models, trust in AI-generated responses, transparency, tethering AI output to reliable sources, hyperlinks to sources, professional knowledge work
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Is ChatGPT lying to you? Tokens are one of the biggest reasons you may be getting ChatGPT wrong. So what are tokens and how do you use them? We're taking a deep dive into ChatGPT tokens and explaining it all.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:40] Daily AI news
[00:06:30] ChatGPT breaks down language into tokens
[00:10:30] ChatGPT tokens in action
[00:18:00] Advanced Data Analysis is a single session use
[00:21:20] How ChatGPT interprets words
[00:28:20] Why you're getting hallucinations
Topics Covered in This Episode:
1. Mistakes and Hallucinations in ChatGPT
2. Token Memory Capacity
3. Tokenization and Understanding Context
4. Token Values and Comparisons
Keywords:
ChatGPT, common mistakes, bad results, hallucinate, tokens, importance, prevent, inaccurate information, update, prompting course, reliable recommendations, AI expertise, NBA finals, ChatGPT, personal data, memory loss, token limit, NLP, autocomplete, bigger token memories, Cloud 2, AI regulation, job loss, Europe, US regulation, Wall Street, prime prompt polish pro, plug-ins, Internet-connected, Bloomberg report, Google Bart, Adobe, creative AI, firefly vector model, firefly design model.
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AI is already helping to power our economy but can it also power our future? How do AI and power relate to each other and what impact will it have on our energy usage? We have a leading expert from NVIDIA to dive into the details. Marc Spieler, Senior Managing Director - Global Energy Industry at NVIDIA, joins us to discuss AI's role in renewable energy and how NVIDIA is using it to shape the future.
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Join the discussion: Ask Marc and Jordan questions about AI and renewable energy
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:05] Daily AI news
[00:03:20] About Marc Spieler and the energy industry
[00:08:00] How AI is used to combat energy consumption
[00:13:30] Making energy plants efficient using AI
[00:16:25] Innovations in Green Shipping
[00:19:30] How AI helps production in underserved communities
[00:22:20] NVIDIA's smart grid chip
[00:25:30] Future of energy with Gen AI
[00:31:25] Marc's final message about AI and energy
Topics Covered in This Episode:
1. Intro to the energy industry and transition to renewables
2. AI's role in Energy production and distribution optimization
3. Creating sustainable and green environments
4. Balancing energy and sustainability with generative AI
Keywords:
NVIDIA, data center companies, digital twins, energy efficiency, compute resources, compute per watt, CPU, GPU, AI, livestream podcast, newsletter, electric vehicles, generative AI, renewables, storage solutions, navigation systems, real-time monitoring, energy wastage, electric grid, distributed energy resources, route optimization, shipping efficiency, cuOpt, hydrogen, battery technologies, carbon capture, energy equity, micro grids, virtual grids, metered communication, open ecosystem, generative AI, wind farm optimization.
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Is Canva the best Gen AI platform that everyone is overlooking? Canva's Magic Studio just got an overhaul with new AI design features. We're diving into all of Canva's updates and showing you not only how to use them but if they're worth your time.
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Join the discussion: Ask Jordan questions about AI and Canva
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:20] Daily AI news
[00:05:30] About Canva's AI
[00:09:33] Canva introduces powerful generative AI features
[00:11:29] Quickly reviewing features and uncovering overlooked Magic Write
[00:14:40] Canva AI features are already sufficient
[00:17:08] Canva adds GPT-like writing features, AI-powered
[00:21:37] Magic switch button upgrades design into doc
[00:27:17] Using multiple tools to erase and replace.
[00:32:05] Canva's magic media offers text-to-image feature
[00:37:15] Canva used by 85% of top companies
Topics Covered in This Episode:
1. Canva's AI suite and its lack of attention and usage
2. Canva's capabilities and user base
3. Canva's Magic Write feature and its potential as a generative AI platform
4. Canva's text and video capabilities
Keywords:
generative AI, GPU chips, high prices, OpenAI, NVIDIA, Microsoft, AI platform, Canva, lack of attention, user experience, chatbots, Meta, celebrities, AI assistant, Google BARD, Google Gemini, cloud anthropic, cloud 2 model, Microsoft Copilot, 135,000,000 users, ChatGPD, Magic Right, Adobe, design powerhouse, text prompts, Magic Media, DALL E, Runway, video feature, ultimate AI app, Magic Studio Suite, magic morph
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How can we make AI more accessible for everyone? What role does the design of AI play? Yaddy Arroyo, Principal VUI Designer at Truist, joins us to dive into the importance of accessibility and user experience in AI design. We also discuss the challenges and possibilities of making AI more user-friendly.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:25] Daily AI news
[00:04:30] About Yaddy and being a VUI designer
[00:08:30] Designing in multimodality
[00:11:50] Will chatbots become multimodal?
[00:14:50] Accessibility: improving input methods for assistive devices
[00:23:10] Limitations as a designer
[00:25:10] Gen AI tools and UI/UX
[00:28:30] Yaddy's advice for accessibility and AI
Topics Covered in This Episode:
1. Multimodal Input Methods and AI
2. Accessibility and Assistive Devices
3. Transforming the Internet and AI Capabilities
4. Generative AI Tools and User Experience
Keywords:
accessibility, assistive devices, unable to move arms, pointer attached to forehead, input methods, blinks, Morse code, text input, diverse input options, companies working behind the scenes, privilege of sight, privilege of hearing, privilege of touch, generative AI, transformational technology, multimodality, images, voice recognition, handling multimodal data, special needs, creating something for their son, equitable world, democratize education, caring for others, putting humans first, equitable internet experience, one-dimensional internet, AI chips, DALL E, AI watermarks, machine learning training.
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How can enterprise companies use generative AI? What does the future of enterprises look like? Jack Adams, an Associate Merchant and GenAI Champion from Walmart, joins us to share insights on how big enterprise companies are harnessing the power of generative AI to increase productivity and enhance customer experiences.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:00] Daily AI news
[00:04:05] About Jack Adams and his role in AI at Walmart
[00:07:45] Pursuing a gen AI role
[00:09:00] Walmart's Generative AI Playground
[00:13:40] AI in the enterprise landscape
[00:16:15] How Walmart uses AI for its customers
[00:21:40] Future of AI in enterprise
[00:25:00] Will enterprise-level LLMs make smaller LLMs obsolete?
[00:28:05] Jack's advice for leveraging AI
Topics Covered in This Episode:
1. Jack Adams' Experience at Walmart with Generative AI
2. Adoption of Generative AI in Enterprise Companies
3. Future Developments and Challenges in AI
4. Ways Walmart is Using Generative AI
Keywords:
future of generative AI, enterprise sector, Walmart, chat for customers, successful implementation, companies hesitant about generative AI, enterprise companies adopting generative AI, guest from Walmart, Everyday AI Show, small business, entrepreneurs, solopreneurs, live viewers, questions, daily livestream podcast, free daily newsletter, Meta, generative AI features, advertisers, ad creation, backgrounds, expanding images, multiple versions, ad text, media companies, advertising suite, Walmart ecosystem, intern, math and finance, University of Alabama, Walmart stores, rotational program, assortment on the shelf, profit and loss, generative AI space, ChatGBT, site's content quality, generative AI playground, Walmart home office associates, Microsoft OpenAI, Google, GPT 3.5, GPT 4, Google Bard, open-source models, internal data, AI system, educational space, workshops, AI system prompts, AI adoption, associate productivity, customer experience, generative AI enhanced search, user intent, Walmart app, website, cautious investments, early stages of AI, company foundation models, AI startups, disruptive technologies, Jack, enterprise solutions, Microsoft Bing, Microsoft 365 Copilot, smaller AI startups, big releases, emerging technologies, positive and negative impacts, address drawbacks, generative AI system, optimize product content, generative AI initiatives, training, Walmart tour, educative about generative AI, Just Jack, smart chat agent, Walmart sales, convenience, natural language processing, user suggestions, generative AI for internal purposes, smart AI chat, customer side, improving customer experience, Walmart's millions of customers, controlling AI,
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What challenges and opportunities come with implementing AI in product marketing? How can we gain better insights into company productivity? Daniel Glickman, Sr. Director, Product Marketing at ActivTrak, joins us to discuss the power of AI in helping companies research faster and the potential impact it can have on changing the way products are used and marketed.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:25] Daily AI news
[00:03:55] About Daniel Glickman and ActivTrak
[00:07:45] Using AI to track employee activity
[00:11:30] How will AI change employee efficiency?
[00:15:50] How Daniel and ActivTrak use AI
[00:20:30] Using AI and ActiveTrack for small teams
[00:24:45] Data collection for product marketing
[00:27:35] Daniel's advice on AI in product marketing
Topics Covered in This Episode:
1. The interest in generative AI and analyzing data
2. AI in product usage and marketing
3. Bottom-up approach in product marketing and the use of bots
4. Implementing AI in the workplace and its impact on employee effectiveness
Keywords:
generative AI, analyzing data, sales reps, productivity, implementing generative AI, research faster, examining data, AI, products, marketing, understanding products, podcast, everyday people, growing companies, advancing careers, livestream, AI jobs, LinkedIn data, Anthropic, AI startup, investment, valuation, product marketing, bottom-up approach, competitors' features, automate tasks, future advancements, connect dots, research obstacle, traditional product marketing, market challenges, product developers, sales team, transformation team, small business approach, mid-market approach, reorganizing sales and marketing, sales-led, account-based marketing, new product feature, employee productivity, employee engagement, AI technology, identifying connections, high-performing individuals, following a specific process, coaching, workplace, generative AI, Copilot, redundancies, inefficiencies, Google Ads, entrepreneurs, well-established companies, knowledge based teams, managing teams effectively, remote work, in-office presence, usage data, cohorts, qualitative data, market demand, market research, public data, review sites, company websites, YouTube, bot, competition, research team, trade-offs, company culture, team type, units of outcome, contact centers, service centers, output measurement.
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Is Canva's AI a game-changer? Can it compete with the major players in the creative space like Adobe and Dall-E? We're exploring Canva's AI tools to see its capabilities and how viable Canva is to help you create quick but effective creatives.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:25] Daily AI news
[00:03:30] Canva's position in the creative space
[00:07:45] Creating designs with Magic Design
[00:12:45] Using Magic Write
[00:15:55] AI image generator
[00:18:50] AI image editing tools
[00:23:00] Magic Grab feature
Topics Covered in This Episode:
1. Canva AI and its Effectiveness
2. Canva's Dominance in the Design Scene
3. Canva's AI Image Generator
4. Canva's Magic Grab Feature
Keywords:
Canva, swap out photos, edit headings, text creation feature, presentation, history of artificial intelligence, edit text, small font size, Volion Group, AI-driven stock picking, beating the market, Microsoft CEO Satya Nadella, Bing's AI chat, Copilot, blank presentation, LinkedIn live stream, AI photo generator, game changer, Adobe Photoshop, design makers, podcast, magic design button, Google BARD, AI chatbot, memory feature, custom instructions, OpenAI's ChatGPT platform, small businesses, Adobe Photoshop, design programs, QuarkXPress, Freeport, Illinois, Adobe Suites, dominant, Photoshop, generative fill, online version, Adobe InDesign, design elements, erased images, beta, magic grab, designers, creatives, marketing, advertising, foreground, background, rule of thirds, product images, social media, time-saving feature, entire presentation, AI inside a photo, extensive design experience, slow programs
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Feeling stuck when using ChatGPT? Not getting the most out of it? We're sharing 5 simple ChatGPT hacks on how you can use ChatGPT to get better responses and have it work for you!
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Timestamps:
[00:01:55] Daily AI news
[00:05:55] Hack #1 - Plugins mode
[00:08:40] Hack #2 - Swap out Google Search
[00:11:00] Hack #3 - Internet-connected plugin
[00:14:05] Hack #4 - Use Custom Instructions
[00:18:05] Hack #5 - Give ADA internet access
[00:21:15] Audience questions and comments
Topics Covered in This Episode:
1. Using plugins with ChatGPT
2. Connecting the internet to ChatGPT
3. Ways to get more out of ChatGPT
Keywords:
ChatGPT, OpenAI, Meta, AI, GPT-4, Apple, ChatGPT Plugins, Google, AI hacks, ChatGPT tips, AI deepfakes, search, ADA
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The new Browse with Bing mode in ChatGPT has people buzzing. Does this new feature finally remove the September 2021 cut-off knowledge date? Well not exactly. We're exploring ChatGPT's Browse with Bing and showing you why you shouldn't use this feature just yet.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:35] Daily AI news
[00:08:20] Background of Browse with Bing
[00:12:00] Browse with Bing isn't accurate
[00:14:00] Browsing the internet with ChatGPT plugins
[00:18:40] Browse with Bing limitation examples
[00:26:50] Browse with Bing doesn't show the work it's doing
[00:31:00] Final summary of Browse with Bing
Topics Covered in This Episode:
1. Introduction to Browse with Bing in ChatGPT
2. Importance of Browsing with Bing vs Plugins to Avoid Hallucinations
3. Evaluation of ChatGPT's Browse with Bing Feature
3. Emphasizing Accuracy and Relevance in Large Language Models
Keywords:
Meta AI, Facebook, Reuters report, AI virtual assistant, public data, language models, daily newsletter, Browse with Bing, curiosity, insights, truthful information, time-saving, ChatGPT, prime prompt and polish course, ChatGPT plugins, Internet access, hallucinations, staying up to date, healthcare, AI-powered robots, accuracy, relevance, business changes, evolving history, AI news, Johnny Ive, Sam Altman, $1 billion fundraising, undisclosed AI device, OpenAI, large language model.
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What will the future of healthcare look like with AI? In what ways has the medical industry already started to develop use cases for AI? Harvey Castro, Personal Performance Coach and CCOO at ViTel Health, joins us to share insights into the AI developments being made both for healthcare professionals and front-facing customers like the everyday person.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:30] Daily AI news
[00:04:00] About Dr. Harvey and healthcare involvement
[00:08:20] How AI is being used now in healthcare
[00:10:05] Future of AI in healthcare
[00:15:30] Hot take on how AI can be used in healthcare
[00:22:40] Challenge of balancing AI and healthcare data security
[00:25:05] Tech giants may acquire health companies for healthcare
[00:27:40] Dr Harvey's work with AI
[00:30:32] Using LLMs in healthcare
[00:34:38] Personalized health data
[00:39:17] How AI can help in limited resource spaces
Topics Covered in This Episode:
1. Overview of AI in Healthcare
2. AI in Healthcare Applications
3. Integration of AI in Electronic Medical Records (EMR)
4. Future Directions of AI in Healthcare
5. AI's Impact on Healthcare Perspectives
6. Challenges and Concerns in AI-Enabled Healthcare
Keywords:
Epic, healthcare technology, OpenAI, Google, acquisition, valuation, big tech company, future of healthcare, Mid Journey, coloring book, multimodality technology, phones, glasses, Meta, keynote speech, collaboration, NASA, Mars mission, OCR, optical character recognition, controversy, securing information, Llama models, hospitals, AI tools, administrators, Harvey, engagement, nursing shortage, AI advancements, paralyzed patients.
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How will AI change the tech industry? Join us as we dive deep with Fernando Mier from Avanade, exploring the fascinating world of AI in the Metaverse, the ethical dilemmas of AI digital twins, and the transformative impact of AI on design and the workplace.
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Website: YourEverydayAI.com
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Timestamps:
[00:00:55] Daily AI news
[00:04:40] About Fernando and Avanade
[00:07:20] Why use AI?
[00:14:12] How enterprises can use AI
[00:18:15] Digital twins and metaverse connection
[00:23:30] AI's impact on organizations and ethics
[00:33:10] The future of tech with AI
Topics Covered in This Episode:
1. How companies can implement AI
2. Digital twins and the metaverse
3. Ethics behind AI innovations
4. What the future holds for AI in tech
Keywords:
technology experimentation, digital twins, digital ethics, Copilot AI technology, calculators, GUIs, immersive technologies, AR, VR, AI-first mindset, Green Software, carbon neutrality, regulations, intentionality, responsible AI use, societal concerns, hacking vulnerabilities, misinformation, user research, chief AI officer, metaverse service hub, organizational considerations, AI impact on work, coworkers, and company safety, technological advancements, digital twins of people and things, Microsoft Mesh, power and vulnerability of AI twins, external stakeholder connections.
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What is the best Large Language Model (LLM)? We're tackling that question today and taking a look at the five best LLMs. We'll show you the pros and cons of each and see which will come on top!
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Timestamps:
[00:02:20] Daily AI news
[00:05:24] Top 5 AI-powered chats dominate the market
[00:08:03] What are Large Language Models?
[00:12:45] Google Bard breakdown
[00:17:35] Anthropic Claude 2 breakdown
[00:20:40] Perplexity breakdown
[00:24:15] Bing Chat breakdown
[00:28:30] ChatGPT breakdown
[00:32:10] Answering audience questions
Topics Covered in This Episode:
1. Discussion on different AI chat models and companies
2. Productivity benefits and reliability of large language models
3. Applications and limitations of large language models
4. Comparison of user experience and extensions
Keywords:
ChatGPT with plugins, advantages for Claude, upload documents for training, private or sensitive documents, upload website or writing catalog, larger memory capacity, AI ChatGPT, Perplexity, Google Bard, switching up models, Gemini, investment in models and companies, large language models, traditional search engines, influencers, increased productivity, Microsoft, OpenAI, speaking commands, Google user interface, double check response feature, reliability of bullet points, lying or hallucinating, summarizing videos, Google Sheets, Google Bard extensions, multimodal feature, understanding different models, future of work, Copilot, AI chats
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Microsoft Copilot will change the way we all work, even if you don't use Windows. Copilot has finally been announced for November 2023 and it's going to be huge. So what's coming and what does it mean? Let's dive in!
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Timestamps:
[00:01:20] Daily AI news
[00:08:01] What is Microsoft Copilot?
[00:12:28] Generative AI in your OS is transformative
[00:17:05] Features of Microsoft Copilot
[00:23:52] Dall-E 3 added to Microsoft design products
[00:27:20] Q4 2023 will be big for the future of Gen AI
[00:31:00] Microsoft Copilot will make startups obsolete
Topics Covered in This Episode:
1. Microsoft 365 Copilot and its Features
2. Microsoft 365 Copilot in Action
3. Updates and New Features
3. Implications for Working Processes and Costs
4. Venture Capital and Startup Landscape
5. Predictions and Future Outlook for Generative AI
Keywords:
Microsoft 365 Copilot, suite, enterprise customers, November 1, $30 per month per user, initial rollouts, generative AI system, ChatGPT, release, November 2021, impact, work, Microsoft Word, documents, Microsoft 365 Chat, centralized, apps, product updates, monthly fee, unsubscribe, alternatives, Dolly Three, operating system, ownership stake, venture capital, Anthropic Cloud, bug, comments, multimodal features, voice, audio, photos, silo, generative AI tools, copy and paste prompts, PPP course.
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What does the advancement of AI mean for medical knowledge and clinical trials? How will AI impact the future of medical decisions? Lefteris Teperikidis, Senior Systematic Reviewer at AccuScript, joins us to share insights on how AI is transforming the landscape of clinical research and systematic reviews.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:15] Daily AI news
[00:03:35] About Lefteris and medical writing
[00:05:40] How does medical writing impact the everyday person?
[00:10:25] Hesitations around AI in medical processes
[00:15:10] Using AI in a responsibly in the medical field
[00:19:15] How to combat AI bias for systematic reviews
[00:26:00] Final takeaway
Topics Covered in This Episode:
1. Overview of the clinical trial process
2. Addressing hype and skepticism about AI in medical writing
3. Importance of clinical research and validation in the medical field
4. AI's potential to streamline systematic reviews in the pharmaceutical industry
5. Managing bias in AI-generated reviews and systematic reviews
Keywords:
AI, medical writer, systematic reviews, automation of systematic reviews, fear of AI, mistrust in AI, reliable AI tools, hands-on experience with AI, AI in medical field, validation of AI tools, drug approval process, clinical trials, post-marketing surveillance, comprehensive picture, article retrieval systems, trust between medical writing community and AI tools, limitations of systematic reviews, generative AI in medical writing, generative AI in systematic reviews, impact of generative AI on patient care, AI in the pharmacy industry, reduction of time for systematic reviews, interpretation of data, responsible use of AI, clinical practice guidelines.
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Can you use AI to land your next job or promotion? What requirements are expected or needed for the future of work with AI? We have a leader in career advice, David Alto, Owner of AltoAdvance LLC, joining us to discuss how job seekers can use AI to land their next dream job.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:15] Daily AI news
[00:03:30] About David and AltoAdvanced
[00:05:40] How AI can help job seekers
[00:09:11] Common mistakes when applying for jobs
[00:11:30] Other ways AI can help job hunting
[00:14:12] Using LinkedIn for job opportunities and referrals
[00:17:45] Improving resumes in job search
[00:20:10] How HR can use AI for hiring
[00:26:10] Advice on AI and job seeking
Topics Covered in This Episode:
1. Career Development Strategies
2. Resume Optimization with AI
3. Leveraging LinkedIn
4. Evolution of Hiring Process and AI
Keywords:
SEO assistant, keywords, competencies, technical skills, future direction, industry, current roles, certifications, licenses, LinkedIn profile, resume, hiring managers, recruiters, jobscan skillsyncher, job description, job title, messaging, transferable skills, financial incentive, LinkedIn database, AI content detectors, applicant tracking system, software, hard skills, soft skills, spray and pray method, easy apply, company's website, AI assistant, Alexa, digital actors, image generator, career development, LinkedIn headline, LinkedIn about section, overqualified, cover letter, multi-unit manager, hiring, outplacement services, struggling job seeker, interviews.
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AI can be a great asset in fundraising. But how can you use it effectively and confidently with your stakeholders? Anne Murphy, CEO of Empowered Fundraiser Consulting and Coaching, joins us to explore the various ways AI can revolutionize fundraising for nonprofits and non-government agencies, from streamlining event planning to simplifying grant writing.
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Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:00] Daily AI news
[00:03:25] About Anne Murphy and Empowered Fundraiser
[00:06:20] Ways to use AI in fundraising
[00:10:25] Balancing AI and stakeholder trust
[00:16:35] Tailoring AI to different types of nonprofits
[00:20:29] The future of AI in fundraising
[00:24:17] How to start using AI in fundraising
Topics Covered in This Episode:
Primary Topic: Introduction to Guest and Empowered Fundraiser
- Introduction of Anne Murphy as the CEO of Empowered Fundraiser
- Discussion on her background in nonprofit fundraising
- Overview of what Empowered Fundraiser does
Primary Topic: Nonprofit Use of AI
- Exploration of how nonprofits can use generative AI
- Emphasis on collaboration and event planning as AI use cases
- Discussion on AI's role in grant writing
Keywords:
fundraising, AI, nonprofits, non-government agencies, Google DeepMind, AI chatbots, Google's Palm two large language model, math scores, AI startup, Cordy APS, medical software startup, AI-powered system, automated paperwork, hospitals, health networks, genetic diseases, Alpha Missins, DNA mutations, Empowered Fundraiser consulting and coaching, trial and error, best practices, professional development programs, generative AI, collaboration, event planning, grant writing, RFPs, word counts, data requirements, large language model, ChatGPT, OpenAI, grant applications
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The role of a product manager is evolving more than ever before. With the AI wave, what does that mean not only for product managers but also for all of us using products? Rolly Seth, Senior Product Manager at Microsoft, joins us to discuss the future of the product manager role and how AI storytelling comes into play.
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Website: YourEverydayAI.com
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Timestamps:
[00:01:00] Daily AI news
[00:03:00] Intro to Rolly Seth and the role of product manager
[00:06:12] Changing consumer demands with AI
[00:08:00] How the product manager role has changed with AI
[00:12:00] Tackling the basics of prompting GPT
[00:15:30] Rolly's favorite AI tools
[00:17:30] The role of storytelling in product management
[00:19:40] Making your product's story stand out
[00:21:18] The future of the product manager
Topics Covered in This Episode:
Primary Topic: Product Management and its Evolution
- Explanation of the role of a product manager in setting vision, strategy, and roadmap for the future
- Differentiating product management from project management
- Considering the hype cycle and anticipating future developments in AI and generative AI
- Product managers wearing different hats and exploring unmet needs and blind spots through disciplines like neurodiversity and neuroscience
- Balancing market trends and user feedback with hidden perceptions and unspoken needs
- Challenges of keeping up with consumer demands and unrealistic expectations in the new age of AI
Primary Topic: Changes in the Everyday Life of a Product Manager with AI
- Transition from cloud-first to mobile-first to AI-first approach in product development
- The concept of building products with an AI-first mindset without ignoring non-AI aspects
- Three styles of product managers evolving in the past six months: platform AI product managers, day-to-day working
Keywords:
product manager, AI, everyday AI, Google Bard, updates, language model, YouTube, Google Drive, Gmail, fact check button, Microsoft, special event, Surface models, Windows apps, AI writers, Writer Inc., enterprise clients, human-like content, product management, vision, strategy, roadmap, market, unmet needs, perception, neurodiversity, neuroscience, product lifecycle, consumer demands, Microsoft, breakneck speed.
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ChatGPT is one of the most underrated tools when it comes to gaining a competitive edge. Whether you're doing a week's worth of work in a single prompt or creating a competitive analysis to understand your landscape, ChatGPT can do it all.
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Timestamps:
[00:01:17] Daily AI news
[00:06:30] Example of turning a 109-page PDF into data
[00:14:20] Real-world example of ChatGPT assuming a role
[00:18:00] DDV plugin pack used to create data from PDF
[00:22:20] Using ChatGPT for competitive analysis
[00:30:00] Other examples of using ChatGPT
[00:34:00] Untapped email marketing revenue, track competitor emails
[00:36:40] Use ChatGPT or risk losing competition
Topics Covered in This Episode:
Recommendation for Competitive Analysis Prompt
Challenges of Extracting Information from PDFs and White Papers
Time Savings and Efficiency with ChatGPT
Audience Questions and Additional Examples
Importance of Adopting Generative AI
Keywords:
training an expert chat, competitive analysis prompt, company information, competitor analysis, website analysis, ChatGPT, SWOT analysis, strengths, weaknesses, opportunities, threats, service offering, complete SWOT analysis, best prompt for competitive analysis, white papers, PDFs, RFPs, DDV (document data visualization) plugin pack, time savings, CSV files, data visualization, complex business operations, annual reports, financial reporting, PwC, AI training, generative AI technology, Deloitte, EY, language models, adoption of generative AI.
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What does the future of work look like with AI? Specifically, how will AI affect creative organizations? We explore the role of generative AI in augmenting and supplementing creativity, and how it affects all of us. Camilo De Cruz, Chief Innovation Officer for sparks & honey, shares insights on how AI is shaping consumer mindsets and what companies can do to prepare.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:17] Daily AI news
[00:03:13] About Camilo La Cruz and sparks & honey
[00:06:17] Consumer mindset is changing with AI
[00:09:25] Using generative AI to connect with customers
[00:12:44] How smaller companies keep up with AI monetization
[00:15:20] What does the future of work look like?
[00:19:30] Can AI be as creative as humans?
[00:23:20] How organizations can combine humans with AI
[00:25:50] Using data with Large Language Models
Topics Covered in This Episode:
- Introduction to Camilo La Cruz, chief innovation officer for Sparks and Honey
- Overview of Sparks and Honey's mission and methods
- Integration of generative AI in consumer mindset
- Future of work with AI
- Is AI more creative than humans?
- Considerations for companies looking to adopt generative AI
- Importance of understanding the "why" in integrating AI technology
Keywords:
future of work, creative organizations, generative AI, augment, supplement, creativity, Everyday AI, experts, learn AI, leverage, grow your company, grow your career, chat GPT, Gemini, Google, language model, GPT-4, AI offering, Salesforce, generative AI solutions, Einstein Studio, Amazon shopping carts, AI powered features, product description, reviews, ChatGPT, newsletter, chief innovation officer, strategic foresight, innovation consultancy, cultural intelligence platform, Q, SaaS business, consumer standpoint, go-to-market strategy, existential risks, CEO, customer data, AI tools, systems, EY, language models, good contact, good communication.
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Using ChatGPT WITHOUT internet access? That's a no-no. You're using ChatGPT incorrectly! We're showing you how to connect ChatGPT to the internet and why it needs it.
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Join the discussion: Ask Jordan questions about ChatGPT
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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:00] Daily AI News
[00:08:17] Misuse of ChatGPT technology is widespread
[00:10:01] Web browsing and ChatGPT
[00:15:20] Why ChatGPT needs Internet access
[00:16:45] Main functions of an internet-connected ChatGPT plugin
[00:20:00] Live example of ChatGPT
[00:27:45] Bing Chat, Google Bard, and Claude don't have internet access
Topics Covered in This Episode:
1. Overview of ChatGPT and Internet Access
2. Why ChatGPT Needs Internet Access
3. Examples of Internet Access with ChatGPT Plugins
4. Examples of Bing Chat, Google Bard, and Claude Not Having Internet Access
Keywords:
ChatGPT, language model, internet access, inaccurate output, consumers, ChatGPT plugins, testing, Senate Majority Leader Chuck Schumer, government regulation, AI, US economy, consulting firm EY, investment, AI EYQ, consulting firms, search engines, URL, AI tools, large language model, features and functionalities, top 1%, chatbot, test results, European office, job openings, European Union’s AI Act, gray areas, plugins, competitors.
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We made it to 100 episodes! We're celebrating by highlighting our top 10 episodes so far, coming with some hot takes for each one, and giving a little behind-the-scenes of Everyday AI. Thank you all for listening and we appreciate every one of you!
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Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:30] Daily AI News
[00:08:10] AI strategy session giveaway
[00:11:30] Behind the scenes of Everyday AI
[00:20:30] Top Storytelling episode
[00:23:55] Top HR episode
[00:26:15] Top Ethics episode
[00:30:30] Top Healthcare episode
[00:32:30] Top Marketing episode
[00:36:35] Top Startups episode
[00:41:30] Top Future of AI episodes
[00:52:45] Top Education episode
[00:56:30] Top Business Development episode
[01:04:45] Audience questions
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AI and marketing go hand in hand and can be a freelancer's greatest tool. Even if you aren't a marketer or freelancer, everyone needs to do some aspect of marketing. Mike Forgie, a Freelance Marketing Specialist, joins us to share insights on how AI can level the playing field for freelancers and small businesses in the world of marketing.
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Join the discussion: Ask Mike and Jordan questions about AI and marketing
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:20] Daily AI news
[00:04:17] Mike Forgie and his freelancing career
[00:06:20] Will AI search affect SEO?
[00:09:18] How small businesses can use AI to compete
[00:11:50] AI saves time in marketing
[00:16:55] Using ChatGPT for marketing
[00:22:55] AI tools for marketing
[00:29:40] 19 SEO AI tools
Topics Covered in This Episode:
1. Using AI as a freelancer
2. How small businesses can leverage AI
3. Saving time on marketing with AI
3. AI tools for marketing and SEO
Keywords:
SEO, search engines, local algorithms, core algorithm, advertising, Facebook, Instagram, AI, specialists, domination, future, consulting, business owners, marketers, freelancer, white label, agencies, optimization, tools, copywriting, service pages, coupon code, agency focused on SEO, on-page optimization, off-page optimization, link building, workload, blogs, meta titles, meta descriptions.
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The ability to tell a captivating story to your customers and/or readers is a crucial skill. Sometimes storytelling can be lost when using AI for content creation. Doug Thompson, former AI ambassador for Microsoft, expert storyteller, and founder of TheDougThompson.com, joins us to discuss how you can tell stories with AI.
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Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:20] Daily AI news
[00:03:35] Intro to Doug Thompson and background
[00:06:05] Finding the balance between AI and storytelling
[00:10:29] Should we use AI in storytelling?
[00:13:30] Doug's experience as an AI ambassador for Microsoft
[00:16:30] Microsoft Copilot and the future of work
[00:19:30] The challenges of "expensive" AI tools
[00:23:30] How to tell a story
[00:26:30] The power of storytelling in pitches
[00:29:18] The future of storytelling with AI
Topics Covered in This Episode:
Topic: The Art of Storytelling with AI
- Importance of storytelling in capturing the audience's attention and making a message resonate
- Steve Jobs as the best technical storyteller
- James Whitaker and Mary Rodriguez as examples of individuals who excel at storytelling
- The speaker's best pitches are tailored to specific audiences and environments
- Using ChatGPT to assist in crafting effective stories
- The importance of editing and adding the speaker's own voice to the content
Topic: Elements of Effective Storytelling
- The use of a story arc and the hero's journey
- Starting a story where the audience lives, using personalized and relatable experiences and language
- Stories should inform and persuade, particularly in the context of marketing products
- The focus on imagining a better life with a product, rather than relying on features and benefits
Topic: The Future of Work and Storytelling
- The speaker's perspective on the future of work and storytelling, given their experience with technical innovation and understanding of consumer behavior
- The influence of AI on the future of work and storytelling
Topic: The Guest's Background and Mission
- Doug Thompson's background as a technical sales nerd with experience at Microsoft and Tanium
- Doug Thompson's mission to help technical sales nerds and anyone trying to sell or relate to others by teaching them storytelling skills.
Keywords:
pitches, personalized message, storytelling, audience connection, Steve Jobs, technical storyteller,
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Everything is changing because of AI, including the HR and the hiring process. So what does responsible AI look like in HR? Will it be your next interviewer or even your next employer? Jen Kirkwood, Partner, Ethical HR & AI at IBM, joins us to discuss how AI is transforming HR and ways to use it responsibly.
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Timestamps:
[00:01:17] Daily AI news
[00:04:00] About Jen and IBM
[00:06:20] How AI is used in HR
[00:10:14] Avoiding bias when using AI in HR
[00:16:34] Are enterprise companies using AI?
[00:19:20] What's the future of AI in HR?
[00:25:30] How small to medium businesses can use AI in HR
Topics Covered in This Episode:
I. Introduction
II. Discussion on AI and HR with Jen Kirkwood
IV. AI in Specific HR Functions
V. AI in HR for Small and Medium-Sized Businesses
Keywords:
AI agents, AI bots, tasks, journalism, translation tool errors, human resources, productivity, compliance, employee experience, hiring process, resume parsing, sourcing, screening, selection, onboarding, LinkedIn analytics, automation, employment decision-making tool, promotion, hiring, Microsoft, copyright infringement, research lab, Embu, show notes, diversity, ethical AI, hybrid strategy, skills in HR, privacy, intellectual property, appropriate use of AI in the workplace, humans in the loop.
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ChatGPT is already an amazing tool. But the combination of ChatGPT and Zapier?! That duo can put your entire business on autopilot. We're showing you the best tips, tricks, and insights on how to use Zapier with ChatGPT and take your workflow to the next level.
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Join the discussion: Ask Jordan questions about ChatGPT and Zapier
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:00] Daily AI news
[00:06:45] Jordan's hot takes
[00:10:40] Explanation of Zapier and examples
[00:14:40] Quick explanation of ChatGPT
[00:18:43] ChatGPT automation limitations
[00:21:15] Examples of ChatGPT and Zapier combo
[00:29:42] ChatGPT and Zapier - the ultimate duo
[00:33:00] Using Zapier in ChatGPT plugin packs
[00:39:40] The results of ChatGPT and Zapier
Topics Covered in This Episode:
Primary Topic: Introduction and Recommendations for Zapier
- Speaker highly recommends using Zapier for businesses, having used it themselves for 5 to 10 months.
- Describes Zapier as a marketing automation platform.
- Mentions using Zapier for clients in their digital strategy company.
- Highlights the ability of Zapier to automate tasks and save time.
Primary Topic: Underutilized Business Tool: ChatGPT with Plugins
- Introduces ChatGPT with plugins as an underutilized business tool.
- Believes ChatGPT with plugins will be most beneficial until Microsoft Copilot is released.
- Discusses the capabilities of ChatGPT for creative content creation.
- Mentions the lack of comprehensive automation capabilities in ChatGPT.
- Emphasizes the importance of combining ChatGPT and Zapier for business automation.
Keywords:
Zapier, marketing automation platform, digital strategy company, ChatGPT, underutilized business tool, Microsoft Copilot, episode, viewers, educational content, generative AI, business, Google, political advertisements, AI, California governor, executive order, risk assessment, energy usage, Apple, conversational AI, AI models, automation, efficiency, ChatGPT plugins, WCI plugin, content creation, SEO, Zapier plugins, scaling businesses, GPT technology, external interaction, conditional logic zap.
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Whether you're a marketer, small business owner, or a professional, we're always looking to create content. But how can we leverage AI to create better and faster content at scale? Today Luke Kostka, Founder of New Norml. Media, joins us to discuss how AI can revolutionize content creation.
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Join the discussion: Ask Luke and Jordan questions about AI and content
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:20] Daily AI news
[00:03:50] About Luke Kostka and New Norml. Media
[00:09:55] Using AI in content creation
[00:15:20] AI tools and ChatGPT plugins for content creation
[00:19:00] Biggest mistake people make with AI content
[00:22:00] Creating successful AI content
Topics Covered in This Episode:
Primary Topic: Introduction to the Everyday AI Show
- Description of the podcast and its purpose to simplify AI and bring its power to everyday people
- Emphasis on leveraging AI, not just learning it
- Announcement of guest to discuss creating better and faster content with AI
Primary Topic: AI News
- Mention of former US labor secretary's warning about AI destabilizing the middle class
- Discussion of co-founder of DeepMind's prediction of AI assistants becoming widespread
- Introduction of a new AI chip startup, Deep Matrix, and its funding from Microsoft
Primary Topic: Introduction of Guest, Luke Kostka
- Introduction of Luke Kostka, founder of new normal media
- Luke's description of helping businesses with content creation and leveraging AI for productivity
- Mention of Luke's work with Ad World conference
Primary Topic: Luke's Work with Clients
- Luke's description of working with Ad World conference and creating content
- Mention of viral posts and boost in content performance with the introduction of AI
- Switch in focus to AI in Ad World conference due to success
Primary Topic: Luke's Experience with AI
- Luke's discovery of AI technology and its capabilities, specifically referencing ChatGPT, DALL-E, and GPT-3
- Example of creating content for Ad World using AI, resulting in viral video
- Impact of AI on the marketing industry
Primary Topic: AI Track in Ad World Conference
- Mention of Ad World's new AI track featuring speakers discussing AI
- Relevance and importance of AI in the marketing industry
Keywords:
AI, content, marketer, advertiser, small business owner, entrepreneur, AI, leverage, guest, create, better, faster, scale, power of artificial intelligence, create better, impactful content, AI news, future, robots, labor secretary, US middle class, AI assistance, productivity, AI chip maker, Deep Matrix, generative AI, Microsoft, founder, new normal media, West Coast, Ad W
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Many people believe that AI removes the personal touch, but what if it could actually help us be more personal and make more sales? Today Jérémy Grandillon, Sales Expert and Owner of The Forge, joins us to break down valuable tips and actionable advice on using AI tools.
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Join the discussion: Ask Jérémy and Jordan questions about AI and sales
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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:17] Daily AI news
[00:03:26] About Jérémy and The Forge
[00:07:10] Using AI to speed up repetitive tasks
[00:10:20] How AI can boost sales
[00:14:45] Tools for email and automation
[00:17:15] Balancing tools and personal connection in sales
[00:19:28] Jérémy's advice on personalized sales
Topics Covered in This Episode:
Primary topic: AI news
- Discussion of Goldman Sachs' report on AI stock valuations
- Mention of AI's impact on global economies, particularly in China
- Announcement of x.ai's use of data from Twitter to train its models
Primary topic: Guest introduction
- Introduction of Jeremy Grandillon, owner of the forge
- Mention of his background in sales and his decision to start his own venture with the forge
Primary topic: Jeremy's experience with AI in sales
- Discussion of initial hesitation towards AI, which then turned into recognition of its potential benefits
- Mention of reducing time-consuming tasks in sales, particularly in copywriting and sales prospecting
- Examples of AI tools like Chargebee and Claude for copywriting and data analysis for building ideal customer profiles
Overall, the text covers the introduction to the Everyday AI podcast and episode, AI news updates, introduction of the guest Jeremy Grandillon, and a discussion on his experience with AI in sales, focusing on time-saving tasks and specific AI tools.
Keywords:
AI tools, personalization, sales, AI stocks, valuations, Goldman Sachs, AI news, economy, China, regulatory approval, large language models, innovation, x.ai, Twitter, Elon Musk, data scraping, data training, forge, knowledge, salespeople, business owner, venture, experience, buzz, repetitive tasks, personalize, sales prospecting, copywriting, Chargebee, Claude, templates, ICP, ideal customer profiles, CRM, common interests
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Is traditional market research on its way out? How will AI change the look and feel of market research as we know it? Today Sidi Lemine, CEO of Jade Kite, joins us to discuss next-gen market research with AI.
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Join the discussion: Ask Sidi and Jordan questions about AI and market research
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:30] Daily AI news
[00:04:00] About Sidi and Jade Kite
[00:05:40] Using AI with traditional market research
[00:10:00] Synthetic respondents in market research
[00:14:02] Can AI be better than humans?
[00:16:27] Ensuring diversity when using Gen AI
[00:19:20] Using AI judiciously in market research
[00:24:00] Advice on using Gen AI
Topics Covered in This Episode:
Primary topic: AI news updates
- Discussion of a chatbot fight between open AI CEO and Google's new language model
- Risks associated with generative AI in business
- A news network's investigation into an AI-generated interview with former President Trump
Primary topic: Traditional market research
- Definition and purpose of traditional market research
- Methods used in traditional market research, such as surveys and focus groups
Primary topic: Introduction of generative AI in market research
- Overview of Jade Kite and its role in market research and AI
- Explanation of how generative AI can enhance market research by analyzing transcripts and providing key insights
Primary topic: Traditional vs. generative AI in market research
- Comparison of traditional methods, where transcripts are manually read, with generative AI's ability to accelerate the analysis process
- Possible advantages of traditional methods in terms of in-depth thinking and expert analysis
Primary topic: Benefits of generative AI in market research
- Faster turnaround time for results and reports
- Ability to analyze a large volume of data and identify key patterns and insights
- Potential for more accurate strategies and decision-making in market research
Keywords:
traditional market research, broken, AI, better, worse, change, guest, dive, future, market research, generative AI, learn, customers, clients, live stream, podcast, free daily newsletter, questions, bring on, AI news, chatbot fight, open AI CEO, Sam Altman, Twitter, slamming, report, Google, secret, large language model, Gemini, powerful, ChatGPT, blog post, researchers, eat, GPT 4, risks, generative AI, business leaders, office, Forbes report, political story, politics, interview, fake president Trump, AI-generated, investigations, tune in, market research, AI, guest, Citi of Amin, founder, CEO, Jade Kite, qualitative research, quantitative research, marketplace, understanding, products,
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When you create AI content on the Internet, who owns it? With AI content rising in popularity, countries are scrambling to decide what AI regulations should be implemented. Neil Peretz, Head of Legal for WooCommerce at Automattic, joins us to discuss how to approach AI content, E-commerce, and AI regulations.
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Join the discussion: Ask Neil and Jordan questions about AI and legal regulations
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:40] Daily AI news
[00:05:00] Neil's experience with AI and legal
[00:08:15] Using AI for legal business matters
[00:12:30] AI content vs. legal battles
[00:16:15] WooCommmerce's thoughts on AI content
[00:21:10] Who has rights to outputs of generative AI?
[00:23:26] Recent example of AI copyright
[00:29:20] Best practices for using generative AI legally
Topics Covered in This Episode:
A. AI and Ownership of Content
- Questions about who should own and have access to internet content
- Discussion on content ownership at Automatic (parent company of WooCommerce, WordPress, and Tumblr)
- Considerations for content scraping and copyright when using AI to generate content
B. Legal Regulations in AI
- Importance of legal regulations related to AI
- Discussion on legal issues in AI, specifically in the context of consumer credit
- AI technology developed by Leah Financial Technologies for assessing creditworthiness
- Implementation of AI technology with PNC Bank and other institutions
C. Copyright and Fair Use
- Explanation of copyright law and fair use
- Reference to the Taylor decision regarding machine-generated art and copyright
- Copyright generally associated with human creations
- Use of AI for transformative purposes and its relation to copyright and fair use
E. Unique and Ownable AI-Generated Content
- Challenge of uniqueness in solely AI-generated content
- Importance of combining AI with other creative processes for more unique and ownable content
- Mention of AI copyright battle involving Creativity Machine
F. Helping Content Creators and Store Owners
- Importance of helping content creators reach a wider audience
- Role of automated sources in gathering publicly available content
- Powering online stores and the desire for store owners to be found and influential
- Consideration of individuals who do not want to be found
Keywords:
AI, content, internet, legal regulations, guest, participate, location, Nvidia chips, ChatGPT competitor, machine learning, creditworthiness, FICO scores, Aliyah score, PNC Bank, institutions, ownership, content scraping, WordPress, copyright law, fair use, Taylor decision, creations, IT, finance, lawyers, salespeople, machine, auto-renewals, bar
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Microsoft Copilot is coming and it's going to be more powerful than you think. With the ability to supercharge your entire OS system with AI, the capabilities will be endless. Not only will it affect how we work but also change the economy.
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Join the discussion: Ask Jordan questions about Microsoft Copilot
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Website: YourEverydayAI.com
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Timestamps:
[00:02:00] Daily AI news
[00:06:50] Jordan’s background
[00:10:50] Microsoft’s position in AI
[00:14:40] What is Copilot?
[00:18:00] Using Copilot for presentations and data analysis
[00:24:50] Drafting emails with Copilot
[00:28:00] Summarizing meetings with Copilot
[00:31:40] Business Chat feature
[00:33:13] How Copilot will change the business landscape and economy
Topics Covered in This Episode:
News update on AI-related developments
- OpenAI's revenue update
- Google's updates in AI services
- Partnership between Nvidia and Google
Speaker's background and expertise in the tech industry
- 20 years of experience in tech-related fields
- Emphasizing their knowledge and insights about AI
Future of generative AI with Copilot
- Microsoft Copilot will change the business landscape with its capabilities
Keywords:
AI, Microsoft 365 Copilot, disruptive workforce, OpenAI's revenue, Google, updates, AI services, Nvidia, partnership, tech industry, generative AI, AI news,
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Data privacy has become a major concern for businesses and individuals when it comes to using generative AI tools. What happens to our data? How can we make sure to govern AI properly? Today Katharina Koerner from Tech Diplomacy Network joins us to discuss AI privacy and governance.
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Join the discussion: Ask Katharina and Jordan questions about AI and research
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:10] Daily AI news
[00:04:20] Understanding AI governance and privacy
[00:09:40] How to balance using AI but keeping privacy
[00:12:45] Privacy-enhancing technologies for secure data sharing
[00:16:00] AI's impact on democracy
[00:20:20] Can AI models be fully transparent?
[00:23:00] Are certain countries ahead in AI governance?
Topics Covered in This Episode:
- Importance of data privacy and concerns about AI tools
- Announcement of Google's new way of watermarking AI images
- Microsoft president's warning about the need for human control in AI
- Release of the enterprise version of ChatGPT by OpenAI
- Introduction of guest expert Katharina Koerner from the Tech Diplomacy Network
- General explanation of AI governance and privacy
- Globally accepted privacy principles and their application to AI systems
- Specific issues related to the origin of data used by large language models
- Differences in regulations around web scraping between the US and Europe
Keywords:
AI, data privacy, AI tools, generative AI tools, AI images, deep mind, Synth ID, watermark, label images, Microsoft president, AI needs human control, tool AI news, AI governance, ChatGPT enterprise, OpenAI, ChatGPT, tech diplomacy network, privacy principles, data quality, data collection limitation, use limitation, transparency, accountability
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How can we use AI for research without receiving false information or to get exactly what we need so it doesn't take long? Today Avi Staiman, Founder of SciWriter.ai, joins us to discuss what the future of research will be with AI.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:25] Daily AI news
[00:05:03] About Avi and SciWriter
[00:08:59] Traditional researching takes too long
[00:11:31] Using AI in researching
[00:14:21] Researching with AI after publishers block access
[00:18:01] Issues when you don't research with AI properly
[00:21:48] How to responsibly use AI
[00:25:15] Free resource for better researching with AI
Topics Covered in This Episode:
- Challenges faced by researchers in the current research publication process:
- Lengthy duration of research studies before entering the writing stage
- Numerous rounds of back and forth with publishers
- Need for a balance between quick publication and thorough review
- Negative implications of using generative AI in academia:
- Example 1: Professor fails students after using ChatGPT to confirm that their papers were written by AI, leading to a student rebellion
- Example 2: Researchers copy and paste from ChatGPT without proper review, raising concerns about the peer-reviewed process
- Torn feelings about the positive aspects and potential problems of technology in research
- Importance of education and open dialogue on responsible use of generative AI
- Benefits of access to information for individuals outside of the publishing realm
- Emphasis on accuracy in social science research and the negative impact of mistakes
- Discussion on publishers blocking large language models from accessing their information and its impact on model development
- Challenges of limited access to information due to paywalls and licensing restrictions
- The opportunity to use generative AI for verified and important information
- The potential negative effects of regurgitating content from platforms like Reddit
- Advantages of collaboration between academic publishers and AI companies to turn research into life-saving applications
- Acknowledgement of inaccuracies and hallucinations in generative AI tools
- Caution against substituting generative AI for accurate information in scientific research and publication
Keywords:
researchers, study, writing stage, time constraints, students, frustration, professors, initial draft, rewrite, delays, publisher, back and forth, acceptance, formatting, clunky process, quick publication, generative AI, academic purposes, ChatGPT, peer-reviewed process, errors, technology, r
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Here in the US students are heading back to school. But there's one problem that hasn't been solved yet. Using AI and ChatGPT in the classroom. Some schools have started to embrace it while others still reject it. What should schools do about it?
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Related Episodes:
Ep 35: How Students Can Use AI to Solve Everyday Problems
Ep 55: How to properly leverage AI in the classroom
Ep 74: Should Schools Ban ChatGPT?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:15] Daily AI news
[00:06:50] Jordan's hot take about AI in education
[00:09:45] Recent headlines about AI in schools
[00:16:07] Will AI make students dumb?
[00:20:00] Why parents should care about students learning AI
[00:23:35] Proposed solutions to "combat" AI and cheating
[00:26:00] How AI affects skill sets
Topics Covered in This Episode:
- AI News Stories
- Meta (Facebook's parent company) launches Code Llama, a new AI code tool
- Alibaba updates its AI chatbots to understand images and have more complex conversations
- Big-name companies, including Nvidia, Amazon, Google, Intel, AMD, IBM, and Salesforce, invest in the open-source platform Hugging Face
- Personal Opinion
- Jordan shares his views on AI in schools
- College students using AI to write papers
- Current AI detectors are not accurate
Keywords:
AI content, Meta, Facebook, Code Llama, AI code tool, Alibaba, AI chatbots, images, complex conversations, Nvidia, Amazon, Google, Intel, AMD, IBM, Salesforce, open source platform, Hugging Face, AI in schools, college students, AI detectors, accuracy.
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What AI secrets can you learn from one of the world's leading marketing voices? Today, Mark de Grasse, President of DigitalMarketer.com, joins us to discuss the best AI tips and tricks to supercharge your marketing.
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Related Episodes:
Ep 57: LinkedIn + I – How to make it work to build authority
Ep 62: Using AI For Growth – How it’s done
Ep 80: When and How To Use Midjourney for Growth
Join the discussion: Ask Mark and Jordan questions about AI in marketing
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:25] Daily AI news
[00:03:36] Intro to Mark de Grasse and Digital Marketer
[00:06:25] Why you need a marketing strategy
[00:09:29] AI simplifies digital marketing strategy for businesses
[00:14:51] Using AI for consistent writing style
[00:17:50] Training AI requires solid prompting for accuracy
[00:21:23] Mark's top 3 AI tools (minus ChatGPT)
[00:24:45] Strategy is essential for business success
[00:29:02] Use ChatGPT instead of Google for searches
Topics Covered in This Episode:
- Importance of having a strategy in marketing
- Cohesive marketing strategy and brand voice
- Creating a single sentence brand voice that summarizes the company's mission
- Applying the brand voice consistently across all marketing channels
- Using AI to create and maintain a marketing strategy
- AI tools like ChatGPT for consistent messaging and content creation
- Connecting different pieces of content with AI to maintain consistency
- Using AI to generate authentic content
- Using a transcription tool like Descript as a basis for AI-generated writing
- A solid presentation as training for AI to create authentic content
- Importance of strategic marketing in light of rising ad costs and increased competition
- Lifetime customer value as the primary metric in the future
- Utilizing AI for running paid ads and experimenting with strategies
- Introduction to the speaker, Jordan Wilson, and the podcast "Everyday AI"
- News updates on AI developments
- Background and experience of the speaker in content and marketing
- Overview of the company and its offerings
- The need for a cohesive marketing approach and the consequences of siloed efforts
- Criticism of reliance on paid advertising and the importance of true marketing strategies
- Tips and best practices for training AI for desired output
- Starting a new chat each time to avoid confusion and h
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We know how great tools like ChatGPT and Midjourney can be. But there's SO MUCH more out there! Today we're breaking down 7 powerful AI tools that can help improve your day-to-day tasks.
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Join the discussion: Ask Jordan questions about AI tools
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:40] Daily AI news
[00:07:40] 1 - D-ID (interactive avatars)
[00:11:30] 2 - Jasper (writing)
[00:14:55] 3 - Pictory (marketing videos)
[00:14:55] 4 - WellSaid Labs (text-to-speech)
[00:21:25] 5 - MeetGeek (meetings)
[00:25:00] 6 - Perplexity (research)
[00:28:00] 7 - beautiful.ai (presentations)
Topics Covered in This Episode:
- Integration of ChatGPT in classrooms
- Schools are incorporating AI technology, specifically ChatGPT, into their educational curriculum.
- Criticism of US higher education system:
- The US higher education system is facing criticism for its heavy reliance on AI and ChatGPT in classrooms.
- Demand for Nvidia's $40,000 GPU chip:
- Nvidia's high-performance GPU chip, priced at $40,000, is experiencing significant demand in the market.
- Eleven Labs' release of V Two:
- Eleven Labs has launched V Two, an improved text-to-speech service that offers enhanced functionalities.
- Introduction to seven amazing AI tools:
- The speaker discusses seven lesser-known AI tools that they have personally explored.
- Speaker's software experience:
- The speaker is a self-proclaimed software junkie with extensive experience using various AI software.
- Full list of AI tools available upon request:
- The speaker offers a complete list of AI tools featured on the episode upon listener request.
- Preview of upcoming episode:
- The next episode will feature Mark de Grasse, the President of Digital Marketer, sharing AI marketing secrets.
- Discussion of "D-ID" as the first amazing AI tool:
- "D-ID" is highlighted for its realistic avatars, text-to-voice, and text-to-video capabilities.
Keywords:
schools, ChatGPT, classroom, US higher education system, AI, Nvidia, $40,000 GPU chip, Eleven Labs, V Two, text-to-speech service, AI tools, software, realistic avatars, text-to-voice, text-to-video, Mark de Grasse, President of Digital Marketer, AI secrets, marketing, Everyday AI, AI podcast, EverydayAI.com
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Ok so we can admit that AI may be smarter than us but it's definitely not more creative or original than humans...right? Today we take a deep dive and look at a few examples to see if AI truly is more creative than us.
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Join the discussion: Ask Jordan questions about AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:35] Daily AI news
[00:04:45] Jordan's creative background
[00:07:35] Is AI empathetic?
[00:10:11] Limitations of AI vs humans
[00:14:52] AI allows humans access to further creativity
[00:17:15] Case studies on creativity and AI
[00:21:45] AI is more creative than humans
Topic Covered in This Episode:
- Updates on AI news:
NVIDIA's rising revenue forecast, AI losing a court battle on copyrights, Meta's new AI-powered translation engine
- Introduction of the host's background in creative industries
- Discussion on two main areas of concern regarding AI: empathy and creativity
- Mention of a study on AI's empathetic capabilities
- Transition into the host's presentation of facts and opinions on AI's creativity
- Audience comments and questions
- Addressing the comment on AI's lack of inhibitions compared to humans
- Considering the quantity and quality of creativity in humans and AI
Keywords:
AI and creativity, AI news, AI developments, AI enthusiasts, AI copyright, court battle, federal judge, NVIDIA, chip makers, revenue forecast, sock soaring, AI lost a court battle, AI cannot hold copyrights, litigating AI cases, Meta, translation game, AI powered translation engine, Google Translate, seamless M4T, AI and humans, AI is more creative than humans, AI wave, creative industries, journalist, photography, videography, graphic design, web design, development, creating things, thinking creatively, creative projects, AI machines, take over jobs, empathy, creative abilities
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We've talked about how you can use ChatGPT to start a business. But today we're taking a look at how a 12-year-old's interest in ChatGPT turned into a father and son duo business on educating others on ChatGPT.
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Join the discussion: Ask Kaz, Sam, and Jordan questions about ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:30] Daily AI news
[00:05:01] Gen AI Academy: From teaching to empowering
[00:08:12] How Sam and Kaz started Gen AI Academy
[00:10:45] Anyone and everyone can learn ChatGPT
[00:14:45] Should ChatGPT be taught in schools?
[00:18:40] Final takeaway from Sam and Kaz
Topics Covered in This Episode:
- Brief overview of AI news, including Khan Academy's AI tutor, AI system that reads minds, and the IPO of Arm, a chip-making company
- Introduction of Sam and Kaz Keller as the father-son duo behind Gen AI Academy
- Conversation with Kaz about his company and how it started
- Kaz's inspiration for teaching people about Chat GPT
- Sam's reaction and support for Kaz's idea
- Success of Gen AI Academy and Kaz's earnings
- Discussion of Kaz's teaching methods and the use of Eventbrite to sell tickets for classes
- Kaz's experience teaching in a boardroom at a local community center
Keywords:
ChatGPT, start a business, adult, background experience, twelve-year-old, 8th grade, Everyday AI, Livestream podcast, daily newsletter, AI news, Khan Academy, AI tutor, online learning platform, nonprofit, teachers, students, confusion, brainwave patterns, Mind vs. Mind, AI system, Mind v eyes, chip race, SoftBank, Arm, IPO, Nasdaq, AMD, Nvidia, GPU chips, generative AI, West Coast, father-son duo, company, train people, Gen AI Academy, mission, AI, time, video game, YouTube
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Today we're going over how to use ChatGPT by doing a live breakdown of the basics of ChatGPT and how to use it. From the ChatGPT interface and settings to the best tips and tricks, we cover a lot. We also answer questions from the audience.
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Join the discussion: Ask Jordan questions about ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:02:20] Daily AI news
[00:06:00] ChatGPT interface and settings
[00:11:20] Creating chats
[00:15:30] ChatGPT plugins
[00:23:00] GPT-3.5 vs GPT-4
[00:26:45] Why you should rename chats
[00:29:00] Custom instructions feature
Topics Covered in This Episode:
- News updates in the AI world
- New York Times considering a lawsuit against OpenAI
- ChatGPT's code interpreter breaking math benchmarks
- Meta (parent company of Facebook) releasing a free code generating software
- Overview of ChatGPT's basic settings
- interface and setting preferences
- Limitations of using free ChatGPT (GPT-3.5)
- GPT 3.5 not updated beyond September 2021
- Potential lack of access to post-2021
- Functionality of renaming chats in ChatGPT
- Option to customize chat names for better organization
- Utilizing plugins in ChatGPT
- Example of using plugins to enable features like YouTube video reading and summarizing
- Explanation that a red shield on a plugin does not mean it's broken, just unverified
- Mention of some plugins requiring a third-party account, such as Zapier
- ChatGPT plugin features and limitations
- Ability to have up to three active plugins at any time
- Mention of issues with plugins indicated by faulty thumbnail image previews
- Growing plugin store with over a thousand available options
- Importance of training the AI in your voice for better results
- Sharing chats with colleagues by copying the chat link
Keywords:
code interpreter, limitations, default mode, ChatGPT, programming languages, plugins, YouTube video reading, summarizing, training, AI, voice, sharing chats, colleagues, chat link, red shield, broken plugins, thumbnail image preview, active plugins, plugin store, third-party account, Zapier, AI news, AI-related software, tutorials, live walk-through, questions, experiences, New York Times, lawsuit, math benchmarks, Meta, Facebook, code generating software, basic settings, light mode, dark mode, GPT-3.5, GPT-4
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Wondering how you can use AI to make more money? What happens if you were to add it into your ecommerce? Today Charles Chakkalo, Founding Partner of JoeyzShopping.com, joins us to talk about how you can use AI in your ecommerce for growth.
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Join the discussion: Ask Charles and Jordan questions about AI and ecommerce
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Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
[00:01:10] Daily AI news
[00:04:15] About Charles and his ecommerce start
[00:06:38] Challenges of starting an ecommerce store
[00:08:31] Ways you can use AI for ecommerce
[00:10:40] Examples of AI-generated images and descriptions
[00:16:38] Recommendations for accurate AI image generation
[00:21:04] Using SEO AI tools for listings
[00:26:48] Best AI tools to use
[00:28:40] Charles' Final Takeaway
Topics Covered in This Episode:
- Multilingual features in e-commerce with Chad GPT's release in Latin America
- Translating websites and product packaging into different languages
- Creating separate product pages in Spanish on English websites
- Challenges with customer service and logistics
- Business growth and success on Amazon
- Excitement about ChatGPT release and interest in technology
- Self-education through YouTube videos and influencers
- Implementing ChatGPT in business and ecommerce
- YouTube recommendations, Google search results, predictive text
- Introduction to Claude as a generative AI tool for document analysis and summarization
- Discussion of an AI-generated product and its features
- Differences between AI-generated images and actual products
- Demonstration of Jungle Scout and its listing builder feature
- Optimization of product title with AI assistance
- SEO optimization for increased visibility and organic traffic
- Tools SEO Google traffic analysis
- Utilization of generative AI tools for optimization
- Built-in options for SEO optimization in Shopify
- Targeting specific keywords for higher search rankings
- Ensuring accuracy of AI-generated images in e-commerce shops
- Tinkering and updating prompts to reflect products accurately
- Ban on gen AI tools by the Associated Press and McKinsey's own generative AI tool
- Glitches in Snapchat's AI behavior
Keywords:
e-commerce, ChatGPT, translation, product packaging, wider audience, Spanish speakers, English-speaking countries, traffic, bootstrapped, resources, extra layers of clothing, heat, customer service, logistics, resale, East Coast, light bulbs, Dollar Tree, eBay, AI technology, research, virtual assistant, profitable products, revenue, family business, college, Amazon store, learning experience, stepping stone, ChatGPT, YouTube videos, influencers, industry leaders, website, newsletter, resou
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The average professional spends 28% of their work day in emails. How can you have AI read and write your emails so you can bring that down to about 5%? We show you how.
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:45] Daily AI news
[00:07:15] The future of AI in emails
[00:14:40] How to connect AI to your email:
[00:17:40] 1. Outlook
[00:20:43] 2. Gmail
[00:27:15] Final takeaway
Topic Covered in This Episode:
- The importance of using AI to read and respond to emails
- The CEO of DeepMind's prediction of AI taking over the world in the next decade
- The Iowa school district's use of AI to ban certain books and the consequences of false positives
- Google testing an AI-powered assistant as a potential life coach
- The speaker asks the audience how much time they spend on emails and highlights the need for AI advancements in this area
- Mention of Microsoft Copilot, an AI tool that could revolutionize email usage
Keywords:
AI reading emails, wasting time, developments in AI, DeepMind CEO, AI taking over the world, Iowa school district, banning books, false positives, incorrect bans, Google AI assistant, life coach, reading and responding to emails, important updates, Microsoft Copilot, revolutionize email usage, AI content
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Sure Midjourney can generate fun and jaw-dropping images. But how can it actually be used to grow your career or business? Today Drew Brucker, VP of Growth at LASSO, joins us to break down how you can leverage Midjourney for growth.
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Related Episodes:
Ep 76: Midjourney – A beginners guide to creating AI images
Ep 78: Midjourney – A beginners guide to creating AI images Pt. 2
Join the discussion: Ask Drew and Jordan questions about Midjourney
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:18] Daily AI news
[00:04:20] About Drew and LASSO
[00:06:30] The power of Midjourney
[00:09:10] The future of stock photography
[00:12:42] Using Midjourney for growth
[00:16:57] Turning Midjourney into a side hustle
[00:22:00] Midjourney is constantly improving
[00:23:45] Drew's advice on starting Midjourney
Topics Covered in This Episode:
- Importance of actively experimenting and playing with Midjourney
- Understand the program's potential uses
- Benefits of using Midjourney on Discord
- Ability to see others' prompts and learn from their outputs
- Target audience for using Midjourney
- From individual contributors to C-suite executives
- Reasons why using Midjourney is important
- Money, time, compromise, competitive advantage, scalability, enhanced creativity, potential virality
- Allocation of time and energy to Midjourney for continuous improvement
- The future of stock photography and the rise of unique visuals
- Companies pivoting to create their own visuals
- Shutterstock introducing 360-degree image feature
- Advantage of using Midjourney
- Ability to have any dimension and filter images easily
- Choosing between stock photography and Midjourney
- Side hustle potential in Midjourney work and getting started
- Invitation to sign up for the newsletter
- The speaker's belief that stock photography will die but existing partnerships may continue
- Time and resource-saving benefits of using Midjourney
- Speaker's experience using Midjourney for a customer event campaign
- Learning curve and future accessibility of Midjourney
- Opportunities for using Midjourney as a side hustle
- Announcement of Microsoft Azure ChatGPT and Defcon events
- Expectation of new features in Mid Journey
- Advice for newcomers and those looking to grow with Mid Journey
- Evolution of Midjourney from a fun tool to an integrated, high-quality platform
- Versatility of Midjourney in creating various visu
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We're always hearing about the latest AI technology. But how should we actually be using AI as a whole? What ethics and rules should be in place to make sure AI is used properly and effectively? Today Moe Alo, Senior Sales Leader at IBM, joins us to discuss.
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Join the discussion: Ask Moe and Jordan questions about AI and ethics
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:00] Daily AI news
[00:04:23] About Moe Alo and IBM
[00:04:23] IBM's importance to AI
[00:09:20] How should we be using AI?
[00:13:28] How IBM approaches AI and ethics
[00:18:28] What IBM is doing in the AI space
[00:20:49] Importance of accessibility in generative AI systems
[00:24:00] Moe's final takeaway
Topics Covered in This Episode:
- Concern about companies not prioritizing ethics in AI
- AI's potential in education and its real-world applications
- Ensuring individual responsibility and protecting personal data in AI usage
- Dismissing extreme fears of AI leading to mass destruction or job loss
- Accessibility and awareness of potential dangers and limitations of AI
- Examples of misuse of AI as learning opportunities
- Importance of using AI in an effective and optimized manner
- IBM's history and hopes for their approach to AI
- Concern about AI disadvantaging certain groups of people
- Ethical concerns regarding programmatic ads generated by AI
- Existence of bad actors in the market seeking to monetize AI
- Surprising lack of awareness about the advancements and impact of AI
- IBM's commitment to ethics and responsibility in AI
- AI ethics board and privacy board at IBM
- AI by design process and pillars of trust, transparency, privacy, fairness, explainability, and robustness
- IBM's stance against military applications and surveillance technology
- AI's role in HR tools and resume screening
- Partnerships with Vatican and University of Notre Dame for AI ethics
- IBM's support for precision regulations and guardrails for AI technology
- Watson X platform for enterprise AI, including Watson X.ai, Watson X.data, and Watson X.governance subsets
- Importance of accessibility and leveling the playing field in generative AI
- Updates on AI-related news, such as The New York Times' terms of service and funding for Anthropic
- Amazon's use of AI summaries in product reviews
- Excitement about the accessibility and benefits of large language models
Keywords:
ethics, IBM, AI, responsible use, human-AI collaboration, transparency, end users, Microsoft, downsizing ethics teams, concern, ethics prioritization, job loss, mass destruction, extreme fears, accessibility, watermarking, executive orders, AI principles, misuse, deep f
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Do you know the basics of Midjourney and looking to improve your skills? We're doing a follow-up to part 1 of our Midjourney guide and breaking down practical use cases and techniques to get you from beginner to advanced!
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Join the discussion: Ask Jordan questions about Midjourney
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:40] Daily AI news
[00:06:40] Recap of part 1
[00:09:40] Choosing a real-world example to use
[00:11:10] UI/UX mock up
[00:15:40] Creating a logo
[00:17:50] Using Midjourney to create images for pain points
[00:22:30] Using images as a source
[00:28:50] Answering audience questions
Topics Covered in This Episode:
- Recap of part 1 and introduction to Midjourney
- Paid tool
- Requires the use of Discord
- Pros and cons of using a newbie room
- Pros and cons of creating a private server
- Audience participation: providing a business idea to visualize
- Exploring practical use cases of AI art for everyday business purposes
Keywords:
Midjourney, AI art, business purposes, paid tool, Discord, pros and cons, newbie room, private server, business idea, visualize, explore, practical use cases.
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Can you use AI and ChatGPT to learn more about your competitors than you could on your own? Today Yogesh Chavda, Founder of Y2S Consulting, joins us to break down the best methods and use cases to use AI for competitive insights.
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Join the discussion: Ask Yogesh and Jordan questions about AI and competitive insights
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:00] Daily AI news
[00:03:30] Yogesh Chavda's background
[00:07:25] Using ChatGPT in consulting
[00:11:30] How companies like Pinterest can use ChatGPT
[00:15:13] AI & ChatGPT speed up competitive insight process
[00:19:14] Exploring various use cases for creative content
[00:23:33] Final takeaway
Topics Covered in This Episode:
- Discussion of various AI tools and plugins:
- Plugin on ChatGPT for creating short videos using stock imagery
- Amazement at the quality of voice tonality and script generated by the plugin
- Tools enabling engagement in creative work previously thought impossible
- Small businesses using tools for communication like TikTok posts and long-form videos
- Accessibility of tools with a laptop and proper guidance
- Mention of China's Internet giants ordering $5 billion worth of Nvidia chips for AI ambitions
- Recognition of Nvidia's importance in powering the generative AI movement in both US and China
- Focus on using AI for competitive insights and analysis
- Examples of using ChatGPT in consulting work:
- Understanding client's industry and pain points
- Crafting presentations for conferences
- Creating blog posts for weekly LinkedIn posts
- Experience of helping engage customers at Pinterest during COVID-19 pandemic
- AI news:
- TikTok asking creators to label AI content
- Microsoft's new language model called Gorilla outperforming GPT 4
- Discovery of ChatGPT and its potential for productivity, research, and information mining
- Transformation of work processes and incorporation of generative AI
- Consulting focus on overcoming brand stigma and building a database using chat GPT and website scraping plugin
- Mention of plugins for creating videos and analyzing websites
Keywords:
AI, SEO assistant, keywords, episode, project, use cases, blog, subscribe, plugin, ChatGPT, short videos, stock imagery, voice tonality, script, editing, creative work, small businesses, communication, TikTok posts, long-form videos, laptop, guidance, China, Internet giants, Nvidia, AI ambitions, US economy, generative AI movement, competitive insights, analysis, guest, Yogesh Chandra, y2s consulting, consulting work, client's industry, pitching, presentations, conferences, outline, blog posts, LinkedIn, productivity enabler, Pinterest, COVID-19 pandemic, new
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Wondering what Midjourney is all about? It's a revolutionary tool that allows anyone, even beginners, to create stunning AI images in seconds. Have you seen those amazing AI-generated images and wondered how you can do the same? Today we're breaking down Midjourney and how to use it.
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Join the discussion: Ask Jordan questions about Midjourney
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:17] Daily AI news
[00:06:30] How to access Midjourney
[00:08:20] Breaking down Midjourney channels in Discord
[00:10:35] Generating an image with Midjourney
[00:17:30] Using a private channel in Midjourney
[00:21:30] Answering audience questions
[00:23:00] Creating hyper realistic photos in Midjourney
Topics Covered in This Episode:
- Introduction to Mid Journey AI image generation tool
- Beginner-friendly guide to creating AI images
- No artistic skills required
- Information on Mid Journey's availability and pricing
- Paid plan starting at $10 per month
- Mid Journey's platform on Discord
- Accessing channels for announcements, discussions, and tutorials
- Upgraded version of Nvidia's Grace Hopper super chip
- Making AI models run three and a half times faster
- Introduction of OpenAI's Gptbot web crawler
- Crawling the entire internet for their chat GPT model
- Discussion of Google and Universal Music's AI-generated music talks
- Recap of Mid Journey as a beginner-friendly guide
Keywords:
AI advancements, breaking barriers, promise, next time, Mid Journey, AI image generation tool, artistic skills, paid plan, $10 per month, Discord, channels, announcements, discussions, tutorials, Nvidia, Grace Hopper super chip, AI models, OpenAI, GPTbot, web crawler, ChatGPT model, Google, Universal Music, AI-generated music, beginner-friendly guide
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Can ChatGPT write just like you? The answer is yes! We're breaking down 5 tips to make ChatGPT sound human and write exactly how you want it to.
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Join the discussion: Ask Jordan questions about ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:45] Daily AI news
[00:6:10] AI can write as well as humans and faster
[00:10:55] Using the right ChatGPT mode
[00:13:00] Give it writing samples and resources
[00:15:40] Make sure to Prime, Prompt, Polish
[00:17:40] Train ChatGPT like an employee
[00:20:45] Keep chat memory in mind and recall
[00:24:35] Final takeaway
Topics Covered in This Episode:
- Recap of recent AI news:
- Zoom using customer data for AI training
- Meta's focus on generative AI models
- Microsoft's expansion of Bing AI chat to more browsers
- Main topic: How to make Chat GPT write like a human
- Importance of using Chat GPT effectively for human-like writing
- Five tips for using Chat GPT effectively:
- Understand the prompts and goals
- Provide context and specific instructions
- Be an active editor and reviewer
- Iterate and improve your conversation with the model
- Utilize additional tools and resources for extra support
- Demonstration of effective interaction with Chat GPT to produce a well-written post
Keywords:
Everyday AI, podcast, live stream, newsletter, AI, business growth, career growth, ChatGPT, human-like writing, AI news, Zoom, customer data, AI training, Meta, generative AI models, Microsoft, Bing AI, browsers, effective use, writing, AI writer tips, interaction, well-written post
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Should ChatGPT be banned from schools? It's a controversial topic that has people on opposite ends. Some schools have embraced it and others have removed it. Today we take a look at how students are using ChatGPT and if it's helping or hurting them in learning.
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Join the discussion: Ask Jordan questions about ChatGPT in schools
Related episodes:
Ep 35: How Students Can Use AI to Solve Everyday Problems
Ep: 55: How to properly leverage AI in the classroom
Ep 56: How To Govern and Properly Use AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:00:17] Daily AI news
[00:05:30] Schools shouldn't ban ChatGPT
[00:08:28] ChatGPT can be a valuable learning tool, but underutilized
[00:14:25] Schools should encourage the use of AI
[00:17:40] Need to prepare students for ChatGPT in the workforce
Topics Covered in This Episode:
- Importance of properly using Chat GPT as a learning tool
- Majority of students using Chat GPT for writing papers
- Need for students to learn effective use of Chat GPT
- Tips for educators to combat student misuse of AI in the classroom
- Former guest provides advice to educators
- Rebuttal against banning Chat GPT in schools and universities
- Lack of understanding by educational institutions
- Success story of a Harvard student using Chat GPT
- Limitations of AI content detectors
- Ineffectiveness in detecting Chat GPT use in papers
- Closure of OpenAI's AI detection program
- Concerns about AI impact on elections and criminal activities
- OpenAI CEO's concerns on personalization and high-quality generated media
- Criminals creating chat GPT clones for scams and phishing
- Study on people's inability to differentiate between deep fake voices and real voices
- Encouragement for schools and universities to embrace AI technologies
- AI models can better prepare students for future careers
- Importance of developing skills in high demand
Keywords:
AI detectors, schools and universities, unreliable, OpenAI, shut down, lack of accuracy, encourage, AI models, ChatGPT, real world, future careers, banning, prohibiting, academia, develop skills, high demand, embrace, curriculum, students
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ChatGPT plugins are one of the most underestimated features of ChatGPT Plus. If you're not using them, you're doing yourself or your business a disservice. We're showing you how to actually use ChatGPT plugins to grow your business and career.
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Join the discussion: Ask Jordan questions about ChatGPT Plugins
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:01:34] Daily AI news
[00:06:35] About Jordan Wilson and his experience
[00:10:27] Best ChatGPT plugins for businesses
[00:13:01] Limit of 3 plugins at once for ChatGPT
[00:16:45] Use Plugin packs to create business solutions
[00:20:01] Example prompt of ChatGPT plugins
[00:24:13] Using plugins for ChatGPT internet access
[00:28:54] ChatGPT plugins and email automations
[00:31:25] More plugin recommendations
[00:36:00] Final takeaway
Topics Covered in This Episode:
- Background of the speaker and their experience with GPT technology
- Focus on building practical business solutions rather than promoting plugins
- Number of plugins tried and the goal of providing practical solutions
- Addressing questions and best practices for using chat GPT plugins
- List of recommended plugins for various business use cases
- Importance of knowing which plugins work best for individual needs
- Noting the requirement of the paid version of chat GPT for accessing plugins
- Explanation of Zapier's capabilities for social media posting and meeting transcription
- Importance of being connected to the internet and using Zapier for integration with ChatGPT
- Possibility of doing a show dedicated to ChatGPT and Zapier if there is interest
- Importance of learning to use ChatGPT plugins effectively for growth in business or career
- Thanking the audience and announcement of the next episode
- Special episode dedicated to plugins, as requested by a listener
- Invitation to live audience members to ask plugin-related questions
- Mention of comments received and inclusion of helpful links and resources in the show notes
- Discussion of the power of ChatGPT plugins and a demonstration example
- Emphasis on the need for up-to-date and internet-connected plugins for accurate information
- Frustration with misinformation about ChatGPT and plugins online
- Testing and evaluation process of multiple plugins for various business use cases
- Importance of internet access for plugins to avoid limitations and improve performance
- Benefits of using Google Sheets and plugins within ChatGPT
- Recommending the Google Sheets and diagram plugins
Keywords:
plugins, GPT technology, business solutions, social media influencers, practical solutions, ChatGPT plugi
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We dive into the world of startups and how they can adapt to the rapidly evolving landscape of AI innovation. Joining us is Xiaochen Zhang, President of FinTech4Good. We'll explore the challenges and considerations for founders when incorporating AI into their business offerings. From raising funds to customer involvement in product development, we cover it all.
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Join the discussion: Ask Xiaochen and Jordan questions about startups and AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:00:17] Daily AI news
[00:05:49] Fintech and AI
[00:07:57] Startups benefiting AI market, but caution long-term
[00:10:56] Double down investment for AI startups
[00:14:15] Entrepreneurs sensitive to trends, need market fit.
[00:19:36] Customer obsession: Listen, invest, improve, communicate, adapt.
[00:24:46] Final takeaways
Topics Covered in This Episode:
- Introduction to the prevalence of AI in various industries
- Mention of recent investments and developments in AI technology
- Introduction of guest Xiaochen Zhang, with experience in fintech startups
- Discussion of challenges and considerations for startup founders in relation to AI technology
- Questions raised about the difficulty of raising funds without incorporating AI
- Weighing the pros and cons of integrating AI into startup offerings
- Personal experience with Lemalist emphasizing the importance of involving customers in development process
- Question about startups using AI as a tool for tasks like finding new market segments and designing products
- Mention of AI-powered products like ChatGPT and coding tools
- Four key questions for successful tech products: problem, market fitness, customer, and pricing model
- Role of AI in improving products, reducing costs, and shortening time to market
- Possibility of creating new products to solve adjacent problems and tap into new markets
- Caution against solely focusing on AI as a distraction for existing products and problems
- Importance of responsible development and use of AI, considering ethics and potential harm
Keywords:
entrepreneurs, market trends, innovative, investors, ecosystem, area of investment, startups, innovators, successful, 1% that succeeds, solving the right problem, market demand, customers, pricing model, differentiation strategy, customer choice, unique value, customer testimonies, education, loyalty, customer obsession, understanding needs, challenges, go-to-market strategies, customer feedback, product design, improving customer needs, AI technology, raise funds, benefits and drawbacks, involving customers, AI-powered products
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How is AI taking form when it comes to helping businesses in healthcare? Dr. Nadia Boutaoui, Founder of NanoNares Inc, joins us and shares valuable insights and use cases, discussing how AI can improve operations, enhance patient care, and revolutionize personalized medicine.
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Join the discussion: Ask Dr. Nadia and Jordan questions about AI in Healthcare
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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Timestamps:
[00:00:18] Daily AI news
[00:05:55] How AI improves healthcare
[00:07:30] AI's role in caring for aging people
[00:11:17] Mistrust of AI in healthcare and hallucinations
[00:17:14] How AI helps with chronic diseases, cancer, and new drugs
[00:19:41] AI's role in healthcare customer service and burnout
[00:21:58] Fragmented US health system
Topics Covered in This Episode:
- Caring for aging individuals in their homes
- Growing issue with the aging baby boomer population in the US.
- Anticipation of integrating AI technologies for remote healthcare support.
- Future of personalized healthcare
- Data monitoring and chatbots trained on personal data for treatment.
- Concerns about mistrust of AI and hallucinations
- Inaccurate information provided by language models.
- Need to address concerns as a society.
- Using chatbots to answer FAQs and provide personalized responses
- Segmentation of patient population for targeted communication.
- AI to identify bottlenecks and improve staff utilization
- Burnout as a significant problem in healthcare.
- Supercomputers for personalized treatments in cancer
- DeepMind and IBM Watson using large data sets.
- Collaboration between Regeneron Pharmaceuticals and Geisinger Health System for new drug development.
- Human oversight in advanced data analytics and AI
- Human validation of recommendations.
- Concerns about data safety and third-party access
- Importance of complying with HIPAA regulations
Keywords:
technology, healthcare, regulations, burnout, complexity, cost, training, workflows, safety, compliance, HIPAA, adoption, AI, electronic health records, intervention medicine, prevention, asthma, scheduling, specialists, patient care, aging individuals, diabetes, heart disease, centralized data centers, state laws, federal funding, user feedback, personalization, mistrust, hallucinations, chatbots, genomics, electronic medical records, drug development.
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Wondering what makes the free version of ChatGPT different from ChatGPT Plus? We're breaking down the difference between GPT 3.5 and GPT 4, the use cases for plugins, and whether ChatGPT Plus is worth the upgrade.
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Example of what you can do with ChatGPT plugins
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Website: YourEverydayAI.com
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Timestamps:
[00:00:17] Daily AI news
[00:05:00] Explaining the power of free ChatGPT vs paid
[00:12:00] Breakdown of free vs paid ChatGPT features
[00:23:50] Use cases for ChatGPT plugins
Topics Covered in This Episode:
- Difference between free and paid versions of chat GPT
- Free version limitations
- Paid version (chat GPT Plus) benefits and functionality
- Usefulness for business purposes
- Google Assistant's user-friendly update
- Made to resemble chatting with a human
- Improvement in user experience
- Meta's AI-powered bots
- Bots with different personas
- Conversations with historical figures or fictional characters
- Enhanced interactive experiences
- YouTube's AI video summaries
- Testing phase and uncertain impact on ad revenue model
- Potential benefits for content consumption and time-saving
- Affordability of chat GPT Plus
- Cost-effective solution
- Comparable to a fully trained employee
- Valuable for businesses
- Versatile application in various industries
Keywords:
GPT, ChatGPT, ChatGPT Plus, business purposes, Google Assistant, user-friendly, AI bots, personas, historical figures, fictional characters, YouTube, AI summaries, ad revenue model, affordability, fully trained employee, Everyday AI
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There's one company in the US that's more important to AI right now than anyone else. And it's not who you think it is. Today we dive into NVIDIA and why it's running the US AI game.
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Timestamps:
[00:00:17] Daily AI news
[00:05:15] NVIDIA is the most important US company
[00:09:00] Why pay attention to NVIDIA?
[00:13:30] NVIDIA's AI chips
Topics Covered in This Episode:
- Pentagon's investment in AI systems for surveillance with Silicon Valley's help
• Highlighting the partnership between the Pentagon and Silicon Valley
• Explanation of the Pentagon's aim to develop AI-driven surveillance systems
- Pew Research Center study on potential job displacement by AI
• Overview of the study's findings stating that 1 in 5 American workers may have their white-collar jobs replaced by AI
• Discussion on the implications and consequences of this potential job displacement
- Harvard student using ChatGPT to pass her classes
• Description of a Harvard student's use of ChatGPT to succeed in her studies
• Mention of the student's communication with her teachers regarding her AI usage
- NVIDIA's significance in AI and its role in the US economy
• Introduction to NVIDIA as the most important AI company for the US economy
• Explanation of NVIDIA's provision of chips (GPUs) to major tech companies
• Mention of NVIDIA's dominant market share in the GPU space and impressive market capitalization
- Integration of AI into products and the importance of generative AI
• Discussion on how companies are incorporating AI into their offerings
• Emphasis on generative AI's significance as a major tech advancement
• Example of ChatGPT as a powerful generative AI tool
Keywords:
Pentagon, investment, surveillance, Silicon Valley, Pew Research Center, American workers, white-collar jobs, AI replacement, Harvard student, ChatGPT, classes, teachers, NVIDIA, important company, US economy, GPU, tech companies, Microsoft, Google, Apple, market share, market cap, generative AI, tech advancement, AI chips
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Are major chatbots like ChatGPT, Bing Chat, and Bard lying about being connected to the internet? How can we stop chatbots from spitting out wrong information? Today we show you how to make sure your chatbot is connected to the internet and giving correct information.
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Website: YourEverydayAI.com
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Timestamps:
[00:00:18] Daily AI news
[00:10:40] Anthropic testing
[00:15:15] Perplexity testing
[00:20:30] Google Bard testing
[00:23:35] Bing Chat testing
[00:27:35] ChatGPT testing
[00:29:00] ChatGPT Plugin Pack example
[00:33:55] Final Takeaway
Topics Covered in This Episode:
- Limitations of large language models
- Differences between web queries and reading web links
- Importance of understanding the difference for tasks like summarizing articles
- Introduction of Perplexity as an AI search engine known for its ability to provide citations
- Example of how query results can vary using perplexity
- Discussion on Bard and its recent improvements
- Limitations of Bard, including the inability to access specific information
- Summary of Bard's response to a query about episode 47 of the Everyday AI podcast
- Cloud 2's recent update to its website summarization feature
- Testing Cloud 2's summarization accuracy by asking it to summarize a website
- Use of a specific webpage with videos and a transcript to test Cloud 2's summarization
- Cloud 2's updated warning about its limitations and potential for hallucination
- Mention of Intel integrating AI into every platform and revenue driven by AI growth
- Discussion on chatbots being manipulated to produce hate speech, toxic material, and disinformation
- OpenAI CEO's statement on AI destroying jobs
- Sharing of a link to a free course on how to effectively use AI chatbots for internet research.
Keywords:
limitations, large language models, web scraping, cloud-based models, Copilot, accessing the internet, reading websites, web queries, reading web links, summarizing articles, perplexity, AI search engine, citations, query, Bard, updates, inaccuracies, Cloud 2, website summarization, inaccurate information, specific webpage, videos, transcript, warning, hallucination, knowledge cutoff, everyday AI, subscribe, rating, everyday.com, daily newsletter, break some barriers, Intel CEO, AI integration, revenue, AI growth, US researchers, chatbots, hate speech, toxic material, disinformation, OpenAI CEO, job destruction, free course, AI chatbots, internet research.
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Using tools like ChatGPT is great for easy and helpful content creation but sometimes it can sound a little robotic...unless you're doing it correctly. Today Audrey Chia, founder of Close with Copy, joins us to discuss how you can use AI for content and not make it sound robotic.
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Time Stamps:
[00:00:18] Daily AI news
[00:04:00] About Audrey and Close with Copy
[00:06:00] How to create AI copy that convert
[00:07:20] Audrey advises using GPT 4 for high-converting copy.
[00:11:45] Importance of identifying target audience when writing copy
[00:16:45] Using ChatGPT plugins
[00:20:19] Training AI chats to write more like humans
[00:25:03] AI copywriting tips and tools
Topics Covered in This Episode:
Topic: The potential of AI tools in improving writing skills and increasing conversions
- Discusses the use of AI tools like ChatGPT and Jasper in improving writing skills and increasing conversions
- Mentions that many people write as part of their job and suggests using AI to write compelling copy
- Highlights the benefits of using AI tools like GPT 4 and wet scraper to extract a brand's tone of voice and create copy that converts in that tone
Topic: News in the AI industry
- Mentions AWS allowing customers to build their own AI agents, potentially automating jobs
- Discusses the release of Stable Diffusion's XL 1.0 image generation software
- Introduces the Frontier Model Forum, formed by Microsoft, Google, OpenAI, and Anthropic, to promote safe and responsible development of advanced AI models
Topic: GPT 4 and audience insights
- Discusses how GPT 4 is useful for getting accurate and valuable audience insights
- Compares the insights from GPT 4 to GPT 3.5, highlighting the superiority of GPT 4
- Emphasizes the importance of avoiding hallucinations or incorrect information when using AI or GPT for writing
- Recommends using GPT 4 with a website plugin to extract a brand's tone of voice and gather insights
Topic: Importance of training chatbots and advancements in AI copywriting
- Emphasizes the importance of training chatbots like employees and not starting a new chat every day
- Mentions advancements in AI copywriting, such as Cloud from Anthropic, Google Bard, and Microsoft Bing Chat being available in Chrome
Keywords:
AI tools, ChatGPT, Jasper, writing skills, conversions, copywriting, brand tone of voice, annoy
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Looking to create stunning videos either for your marketing or other use cases? We're breaking down the basics of Runway and showing you how to create amazing videos in seconds.
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Time Stamps:
[00:02:01] Daily AI news
[00:05:09] What is Runway?
[00:09:35] How Runway's computing power works
[00:13:14] Midjourney vs Runway and other details about Runway editing
[00:16:28] Detailed AI-created Star Wars spin-off series
[00:19:08] Impressive results with Runway's AI video
[00:21:20] Bring old photos to life with videos
[00:24:54] Improved media consumption through AI-generated content
Topics Covered in This Episode:
- Amazon Web Services releases new free and paid courses on AI
- Netflix posts a $900,000 AI job amidst actor strikes in the US
- Mention of a study revealing that 70 percent of companies are experimenting with generative AI, but few are investing money in it
- Introduction to Runway
- Speaker explains that Runway is a generative AI tool for video editing
- Various features of Runway are mentioned, including text to video, removing background from video, video to video, and more
- Mention of Runway's recent successful funding round, raising $141 million and being valued at $1.5 billion
- Notable investments in Runway from companies like Google, Nvidia, and Salesforce
- Demonstration of Runway's video generation feature
- Speaker mentions upcoming demonstration of one of the newer features of Runway, which is generating videos from text and images
Keywords:
high-quality videos, Runway, live stream, podcast, newsletter, AI, Amazon Web Services, free courses, paid courses, Netflix, AI job, actor strikes, generative AI, investing, money, text to video, removing background, video to video, $141 million, valued, Google, Nvidia, Salesforce, generating videos, text and images
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Will we all be using AI to manage our investments one day? Today Treebel Solimani, Founder and CEO of TriangleAI, joins us as we delve into the fascinating realm of AI investment management. We uncover how AI-powered tools revolutionize the way we manage our finances.
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Website: YourEverydayAI.com
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Time Stamps:
[00:00:18] Daily AI news
[00:05:45] How TriangleAI works
[00:07:41] TriangleAI: Unique combination of expertise and algorithms.
[00:11:35] AI agent aids portfolio management and scenario analysis.
[00:15:00] Specialized agents: future of management and business.
[00:20:34] Not enough accessible AI tools. Triangle AI's differentiation.
Topics Covered in This Episode:
- Discussion about portfolios and scenarios in AI investment management
- Mention of specialized AI agents for chats, such as TriangleAI
- Introduction to the use of ChatGPT in building AI-powered businesses
- Questioning the impact of AI tools on the financial management industry
- Speculation on the future of individual involvement in portfolio management
- Excitement about using TriangleAI and researching portfolio growth
- Explanation of Product Hunt and its relevance to software launches
- Discussion about the generation of portfolio simulations and their optimization by AI agents
- Highlighting investment advice, risk management, and the scatterplot feature within Triangle AI
- Introduction to the Everyday AI podcast and its goal of helping people utilize AI in their professions
- Emphasis on the importance of accessibility in the AI space, particularly in finance
- Mention of the tool built for companies like Fidelities and financial analysts
- Explanation of how TriangleAI augments work and improves efficiency in wealth management
- Highlighting the conversational aspect of TriangleAI and its time-saving capabilities for balancing portfolios
- Emphasis on meticulous data cleaning, analysis, and customer-centric approach in Triangle AI.
Keywords:
portfolios, scenarios, AI investment management, AI agent, assets, balancing, global events, performance, interest rates, inflation, portfolio analysis, understanding, specialized AI agents, TriangleAI, ChatGPT, AI-powered business, financial management industry, individual involvement, research, growth, newsletter, ChatGPT Plus, executive assistant, Product Hunt, future plans, portfolio simulations, risk management, scatterplot
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The first major AI agreement between Big Tech and the US government is finally here. So how will this new agreement affect us all? Today we take a deep dive and discuss.
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Time Stamps:
[00:00:17] New big tech agreement with US government
[00:05:11] Tech giants meet with White House, discuss AI
[00:09:13] Leading big tech companies creating generative AI chats
[00:13:04] AI chats: Reporting, guardrails, risks, biases, privacy
[00:17:01] Unofficial sheriffs in tech, EU leads regulation
[00:19:37] Government lacks understanding of Internet, AI
[00:23:23] AI-generated Trump voice used in political commercial. Concerns arise about AI and Deepfakes
Topics Covered in This Episode:
- Discussion of the new agreement between big tech and the United States government
- Mention of Forbes article on generative AI vs. traditional AI
- Report on the AI boom happening primarily in four states
- Twitter changing its name to "X" as part of Elon Musk's consolidation effort
- Launch of the WorldCoin project by Sam Altman from OpenAI
- Encouragement to sign up for the newsletter and access more news and updates
- Meeting between tech giants and the White House on AI
- Noting that the agreement is a voluntary pledge
- Attendance of several big tech companies and absence of some notable CEOs
- Curiosity about the absence of certain CEOs and speculation on their intentions
- Noting that the attending companies are leaders in generative AI technology
- Mention of open remarks by President Biden and a closed-door session
Keywords:
new AI agreement, big tech, United States government, generative AI, traditional AI, report, Axios, AI boom, states, Twitter, Elon Musk, Sam Altman, OpenAI, WorldCoin project, universal basic income, GPT technology, meeting, White House, tech giants, voluntary pledge, legislation, government regulation, big tech companies, CEO, Sundar Pichai, Meta, Mark Zuckerberg, Elon Musk, absence, deliberate decision, leaders, generative AI technology, open remarks, President Biden, closed-door session.
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Apple has finally built its own GPT! Now that Apple has arrived to the AI scene, what does that mean for the rest of AI and Apple's competitors? Are we seeing the rise of ChatGPT's rival? Today we take a deeper look.
Oh. We also covered some breaking news on the US government’s AI agreement with major AI tech companies.
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Website: YourEverydayAI.com
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Time Stamps:
[00:1:14] Breaking News: AI companies and US government reach agreement - breakdown and discussion
[00:11:50] Breakdown of Apple's new GPT
[00:13:10] Apple adding GPT to Siri?
[00:15:34] Will Apple's GPT be better than the competition?
[00:20:10] AI is driven by monetization
[00:23:11] Final Recap
Topics Covered in This Episode:
1. Introduction: Apple's Entry into the Chat GPT Market
- Apple's plans to build its own chat GPT system
- Speculation on the potential success of Apple's GPT system
2. Voluntary Agreement Between Major AI Tech Companies and the Government
- Details of the agreement
- Areas of focus: transparency, content watermarking, bias and discrimination, privacy, third-party testing
3. Concerns and Open-ended Questions about the Agreement
- Speaker's reservations about self-regulation by big tech companies
- Questioning the effectiveness and potential loopholes of the agreement
Keywords:
Apple, Apple GPT, ChatGPT, US AI agreement, AI tech companies, US government, transparency, content watermarking, avoiding bias, discrimination, protecting privacy, third-party testing, concerns, open-ended questions, big tech companies, self-regulation, Microsoft, Google, generative AI
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You always hear about all these great AI tools and methods for growth, but how do you ACTUALLY put it all into play? We're joined by Cory Lopez-Warfield, Tech Founder, Investor and Chief Growth Officer to talk about how businesses and individuals should approach and embrace generative AI to improve their jobs and grow their careers and businesses.
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Time Stamps:
[00:00:18] Daily AI news
[00:04:27] About our guest Cory
[00:09:01] AI replaces jobs, but not to fear
[00:13:09] Using conversational AI for emotional intelligence
[00:15:57] Trustworthy, time-saving AIs for various tasks
[00:20:39] Companies ignoring AI will go out of business
[00:24:18] Train AI with persona and context for success
Topics covered in This Episode:
- Discussion on the opportunities presented by generative AI tools such as writing, music, and book creation
- The potential of generative AI catching on faster due to the Internet age
- Advice on how businesses should approach and embrace generative AI
- AI's role as a repository of global information and its assistance in job improvement and learning
- The potential for AI to replace jobs and increase profitability for companies
- Benefits of AI being cost-effective for businesses without requiring paychecks or vacation
- Embracing AI and learning how to prompt it
- Blockchain technology for creating a digital paper trail for AI-generated content
- Optimism about the future and excitement for humanity's development
- Mention of Apple GPT, an AI chatbot product being developed for Apple devices
- The introduction of US Senator Bob Casey's draft legislation to protect workers from AI surveillance
- Google's AI tool, Genesis AI, and concerns about its impact on journalists
- The potential downfall of companies that ignore or deflect AI in the next 18 months
- The ability for any industry to fully embrace AI and benefit from lower costs and increased productivity
- The consequences of resisting or underestimating AI in job security
- Acknowledgment of participants and a listener named Mabrit asking about AI-powered Google plugins or extensions
- Mention of Monica, a Chrome extension that brings AI to the internet
- Discussion on the usefulness of Chrome extensions powered by AI
- Recap of the various topics discussed in the episode and plans to summarize them in a newsletter
- Advice on how to use AI effectively, including giving it a persona and providing training and context
Keywords:
AI tools, generative AI, writing, making music, writing books, Inte
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We know that AI can help us make more money. But what can it do to help improve the way we manage and deal with money? Today, Nazia Raoof, IT Strategy and Strategic Partnerships for Financial Services, joins us as we delve into the world of banking and financial services and explore how AI can be used to improve these industries.
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Time Stamps:
[00:00:17] Daily AI news
[00:06:35] ChatGPT as a complementary tool for financial advisors
[00:09:15] Firms adapting to AI and use cases
[00:14:33] Embedding AI in platforms and APIs while adding guardrails
[00:16:47] Generative AI's risk for financial institutions' security
[00:19:53] Final takeaway
Topics Covered in This Episode:
- Risks posed to financial institutions and how banks handle AI
- Implementation of AI governance committee
- Functions of the committee in evaluating and implementing AI
- Understanding of decision makers in the financial industry regarding generative AI
- Extracting information from PDFs and spreadsheets using generative AI
- Importance of adapting to using bots in the financial industry
- Personalized advice and financial education offered by bots
- Use of bots in websites for loan assistance and account support
- Guideline establishment and embracing the use of bots by banks
- Use of embedded AI and chat GPT in platforms APIs and partnerships
- Focus on implementing guardrails to protect against data breaches
- Accuracy and limitations of ChatGPT requiring fact-checking
- Risk of younger generations relying on AI-generated code without understanding its quality
- JPMorgan's use of ChatGPT and AI in production
- Development of JPMorgan's platform called Index GPT for investment selection
Keywords:
ChatGPT, generative AI, connections, voice cloning, impersonation, security, financial sector, risks, financial institutions, AI governance committee, ethical uses of AI, education, evaluation, decision making, prioritizing, implementation, understanding, power, potential, extraction, PDFs, spreadsheets, availability, bots, personalized advice, financial education, websites, loan assistance, account support, guidelines, embedded AI, platforms, APIs, strategic partnerships, data breaches, sensitive information, accuracy, fact-checking, verification, younger generations, AI-generated code, JPMorgan, production, investment selection, robo advisors, complementary tool, information security, analysis of large data sets, access to information, technology leader, business problems, process automation, strategy, delivery, Eliza, communication between humans and computers, pattern matching, substitution methodology, security measure
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How can you use AI to make more sales? Sunehra Malhotra, an Enterprise Account Executive at Brevo joins us to answer that exact question. We're breaking down the benefits of incorporating AI into sales strategies and how AI can help boost sales performance.
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Time Stamps:
[00:00:17] Daily AI news
[00:03:30] Intro to guest Sunehra Malhotra and Brevo
[00:04:50] How does Brevo use AI without AI policies?
[00:07:13] Brevo's AI email marketing features
[00:09:38] Using AI in Sales
[00:11:20] Example of using AI in sales properly
[00:16:24] Using AI for automating sales sequences
[00:18:00] Bringing human connection to AI use
[00:21:12] AI is a tool to enhance sales
Topics Covered in This Episode:
- Addressing concerns about AI potentially replacing sales roles
- Encouragement for salespeople to evaluate how AI can benefit them
- Discussion on the potential advantages of AI based on understanding its capabilities
- Welcoming viewers to the live broadcast and inviting questions in the comments
- Mention of Brevo as a larger company generating significant revenue
- Lack of AI policies in companies and how Bravo uses AI tools to enhance performance metrics
- Utilization of AI to research target accounts and assist with email sequences
- Emphasis on the importance of customized and personalized emails to stand out
- AI's role in reducing time spent on researching software usage
- Desire to automate sequences for targeting accounts and input target criteria for AI to provide a list
- Importance of personalizing approach and mentioning personal experiences in emails to specific companies
- Acknowledgment that AI will never fully replace salespeople but can make them more efficient and productive
- Potential applications of AI in various aspects of sales and personal/professional spheres
- Emphasis on the importance of research and competitive analysis when using generative AI
Keywords:
AI, ChatGPT, automation, tasks, concerns, roles, sales, department, company, fear, benefits, advantages, understanding, live broadcast, questions, comments, Bravo, revenue, AI policies, performance metrics, clients, platform, cold sales, cold emails, attention, email outreach, research, target accounts, email sequences, customized emails, marketing strategy, individual contributors, judgment, company policies, product, efficiency, target accounts, researching companies, salespeople, convincing cu
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Curious about Google Bard, an AI chatbot, and wondering just how good it is? Today we're breaking down the basics of Bard and diving into its latest updates to see how it stacks up against the powerhouse ChatGPT.
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Time Stamps:
[00:00:17] Daily AI news
[00:03:55] What is Google Bard?
[00:07:20] New Google Bard updates
[00:12:10] Google Bard example to show new features
[00:17:53] Building a website with Google Bard
[00:21:40] Recap of new features
[00:23:40] Should you use Google Bard?
Topics Covered in Today's Episode:
1. Latest Updates in the Field of AI
- Discussing Google's new AI model called Matcha
- Explaining how Matcha helps understand charts and do mathematical reasoning
- Mentioning the study by the Nielsen Norman Group on AI tools like Chat GPT boosting worker performance by up to 66%
- Highlighting the UN's warning against the use of brain chips due to potential harm
2. Google Bard: A Competitor to Chat GPT
- Introducing Google Bard as a competitor to Chat GPT
- Exploring the updates in Google Bard
- Noting the ability to save and rename chats
- Describing the built-in optical character recognition (OCR) for uploading files
Keywords:
Everyday AI, AI content, daily newsletter, audience, episode, speaker, wrapping up, thank, join, subscribe, rating, everydayai.com, barriers, future episode, podcast, updates, field of AI, Google, AI model, Matcha, understand charts, mathematical reasoning, Nielsen Norman Group, study, AI tools, Chat GPT, boost worker performance, UN, warning, brain chips, potential harm, Google Bard, competitor, save chats, rename chats, optical character recognition, OCR, uploading files
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Confused by this whole ChatGPT wave and just looking for a 101 breakdown on what it is and how it works? Today we're getting back to the basics and giving you the rundown on everything ChatGPT so you can go from clueless to in the know.
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Time Stamps:
[00:00:17] Daily AI news
[00:08:49] Breakdown of ChatGPT
[00:16:29] ChatGPT and Plugins
[00:25:37] ChatGPT automates research, notes, and writing
[00:28:58] ChatGPT takeaways
Topics Covered in This Episode:
- Recent AI News:
- FTC investigating OpenAI for misinformation
- OpenAI partnering with AP and Shutterstock
- Google announcing updates to Google BART
- Hollywood writers guild going on strike regarding the use of AI by Hollywood studios
- Introduction to ChatGPT and Getting Back to Basics
- ChatGPT as a large language model with a knowledge base of everything up until September 2021
- Encouragement to sign up for the Everyday AI newsletter for daily news updates and guest interviews
- Understanding ChatGPT Basics
- Capabilities of ChatGPT with its 1.8 trillion parameters
- Quick access to a vast amount of data points and information
- Importance of understanding and using ChatGPT correctly to avoid incorrect or misleading outputs
- Comparison of AI and GPT technology to the internet, emphasizing its power
- ChatGPT's Plugins and Features
- Description of ChatGPT as a large language model with plugins for added capabilities
- Reminder to avoid sending sensitive or confidential information through the platform
- Benefits of the paid version over the free version
- Limits of the paid version (25 messages every 3 hours)
- Different modes available (default, code interpreter, plugins)
- Code interpreter for data scientists and data visualization
- Mention of over 700 plugins, with Zapier highlighted as an example for marketing automation
Keywords:
ChatGPT, AI basics, FTC, OpenAI, misinformation, AP, Shutterstock, Google BART, Hollywood writers guild, AI use by Hollywood studios, large language model, knowledge base, internet, 1.8 trillion parameters, data points, information, understanding, correct usage, GPT technology, internet comparison, plugins, everydayai.com, free daily newsletter, sensitive information, confidential information, flip phone, paid version, professionals, students, limits, 25 messages every 3 hours, knowledge cutoff, default mode, code interpreter, plugins mode, data scientists, data visualization, 700 plugins, Zapier, embrace AI, obstacles, Google research, satisfactory answers, ChatGPT research tool, searching, reading, note-taking, valuable resource, summarizing, Google comparison, two-way conversations, papers, professionals, Google Bard, Microsoft BingChat, signing up, correct usage, work automation, user data, OpenAI's
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So you're trying to grow your personal branding on LinkedIn and build authority for yourself but don't know where to start? AI can help with that! Today Joshua B. Lee, CEO and Founder of StandOut Authority, joins us to discuss feeding LinkedIn's algorithm and AI with relevant information to effectively communicate your personal brand.
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Join the discussion: Ask Joshua and Jordan questions about LinkedIn and AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Time Stamps:
[00:00:17] AI and authenticity: Should we use it everywhere?
[00:04:38] LinkedIn is a powerful human-to-human platform for business growth
[00:09:16] Take time to understand who you are
[00:12:53] LinkedIn integrates AI to index human interaction, optimize content, and enhance user experience
[00:16:49] LinkedIn profile - AI tools that help
[00:20:21] Tips on LinkedIn posting
[00:24:07] Build authority using content and AI on LinkedIn
Topics Covered in This Episode:
- Importance of personal brand and understanding identity
- The overlap between personal brand and how the world sees you
- The need to feed algorithm and AI with relevant information
- Shift in LinkedIn's algorithm towards educational and value-driven content
- Importance of authenticity and avoiding reliance on AI-generated content
- LinkedIn profile should tell a career journey or story, not just read like a resume
- AI tools like Jasper to help write LinkedIn bios
- Importance of a strong headline on LinkedIn
- Focus on outcomes rather than services
- Using tools like ChatGPT to create a standout statement
- Importance of creating content, engaging with people, and building relationships
- Caution against copying and pasting content for authenticity
- AI as a resource, not a replacement
- Emotions in decision-making and the role of AI lacking emotions
- Content quality over quantity
- Using AI as a tool to design content with a personal touch
Keywords:
personal brand, identity, algorithm, AI, LinkedIn, educational content, value-driven content, authenticity, AI-generated content, resume, career journey, story, bio, headline, ChatGPT, content creation, relationship building, content quality, Sales Navigator, organic marketing, relationships, Merlin, personalized prompts, followers, opportunities, writing, authenticity, live stream podcast, newsletter, Google, notebook LM, AXAI, Meta, AI models, AI regulation, posting frequency, targeting audience, timing, Sales Navigator, cold pitching, online validation, connecting, appreciation, human element, Microsoft, OpenAI, collaborative articles, SEO, resumes, long-standing, job searching, B2B interactions, B2C interactions, user base, business decision makers, AI technology, educating audience, selling, standing out.
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Is it possible to govern AI or has it already grown to be bigger than we can handle? John Chiappetta, Principal and CEO of HG Technical Consulting, joins us to discuss the importance of defining the audience and setting goals before introducing AI.
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Join the discussion: Ask John and Jordan questions about governing AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
[00:00:17] Daily AI news
[00:03:59] Intro to John Chiappetta
[00:10:18] Examples of AI in the classroom
[00:14:03] Cybersecurity is crucial for risk assessments.
[00:17:27] Professors want students to learn, not rely on GPT.
[00:19:34] Defining audiences and conducting research to govern AI
[00:22:43] Roadmap to governance of AI
Topics Covered:
Importance of defining audience and customers before introducing AI (Defining Audience and Customers)
Creating a roadmap for AI implementation, setting goals and objectives (Creating a Roadmap)
Emphasizing the need for continuous research in AI implementation (Continuous Research)
Involving employees at all levels for diverse perspectives on AI (Employee Involvement)
Potential benefits of using AI, including better revenue and optimized resources (Benefits of AI)
Addressing job replacement fears and resource readjustment (Job Replacement and Resource Adjustments)
Recommendations for companies new to AI (Recommendations for Newcomers)
- Research and assemble a team
- Consider AI principles and one applicable aspect
Acknowledging the benefits of AI for companies that have not considered it (Benefits for Non-AI Companies)
Not all companies using generative AI, seeking recommendations (Generative AI and Recommendations)
Importance of taking an AI class and John's agreement (Importance of AI Classes)
Educators' polarization on AI detection in education space (Educators' Polarization)
Use of ChatGPT by students in writing papers and issues with professors (Use of ChatGPT in Education)
Concerns about students becoming dependent on AI tools in education (Concerns in Education)
Importance of roadmaps and governance in AI implementation (Importance of Roadmaps and Governance)
Starting the process of mitigating risk in AI and the importance of education (Mitigating Risk in AI)
Balancing the benefits of AI with ethical frameworks and policies (Balancing Benefits and Ethical Frameworks)
Keywords:
implementing AI classes, securing funding, educating teachers, sharing information with the corporate sector, high demand, quick fill-up, enthusiastic students, eager to learn about AI, real-life examples, interactivity, hands-on learning, train models, identify objects, explore own ideas, unleash creativity, US senators, classified senate briefing, governance of AI, Indian CEO, criticism for layoffs, AI support bot, concerns about being replaced by AI, VC Billionaire Mark Anderson, scenarios for AI, Chinese world domination, control and govern AI, guest speaker John Chapada, defining audience and cust
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Should AI be banned in education? Or should it be used every day, in every assignment? on today's episode of Everyday AI, we jump in to find out!
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Join the discussion: Ask Kelsey and Jordan questions about AI in Education
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Timestamp Overview:
[00:00:17] AI in education: should it be used?
[00:05:01] Technology solves teaching problems, including AI.
[00:06:57] Instructors shouldn't ban AI in classrooms.
[00:10:48] Using AI for organizing webinar outlines isn't cheating.
[00:14:00] Experts guide appropriate usage of GPT.
[00:17:06] EBT technology: varied opinions in education.
[00:23:10] AI technology makes critical thinking harder. EverydayAI.com.
[00:24:30] Wrap for today's edition. Subscribe, rate, and visit for more AI magic.
Key Topics Covered:
- Introduction to Everyday AI podcast
- Recent news stories on AI detection of deepfakes, robots giving press conferences, and NVIDIA's market share in AI chips
- Introduction of guest, Kelsey Behringer, CEO of Packback
- Using AI in the classroom and the speaker's belief in the importance of critical thinking and easy access to information
- Announcement of giveaway and promotion of everydayai.com for resources and newsletter
- Thanking Kelsey for sharing about Packback and answering questions
- Thanking Kelsey again and invitation to join tomorrow's episode
- Speaker's personal use of AI tools like ChatGPT for webinar series agendas and outlines
- Belief that using AI for organizing thoughts and creating outlines is not cheating, as long as students write their own words
- Recommendation to set clear expectations and guide students on using AI tools correctly
- Importance of being connected to students and the speaker's love for teaching
- Discussing the misguided reaction of banning generative AI in classrooms
- Importance of instructors explaining why AI may not be appropriate in certain situations
- The benefits of using AI for students who want to learn and get something out of education
- Acknowledgement that technology cannot fully replace teaching due to the crucial aspects of human interaction and inspiration
- Suggestion that AI should supplement, not replace, the instructor workflow
- Caution against using blue books for exams and the impact of GPT and chat to PT technology on writing assignments and prompts
- The need for authentic assessments and holistic assignments to challenge students
- Expectation for educators to be dynamic and constantly update assignments, acknowledging the workload
- Belief that GPT technology can help eliminate tedious tasks and enhance productivity
- Argument against the idea that technology leads to less critical thinking and application, suggesting it improves the quality of work
- The possibility of students solely relying on GPT and a need for educators to adapt their teaching methods
- Pers
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Dive into the fascinating world of AI and automation in our latest podcast episode! We discuss winning with ChatGPT, Google Sheets, and automation tools like Hexomatic. 🤖
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Join the discussion: Ask Patrick and Jordan questions about this episode
Upcoming Episodes: Check out the upcoming lineup
EP 54: Winning with ChatGPT, Google Sheets and Automation
Timestamp Overview
[00:00:17] AI, automation can run businesses efficiently. AI news: Netflix documentary on killer robots, Google testing medical AI chatbot, and OpenAI Chat GPT traffic decrease. Excited to have Patrick Mova on the show.
[00:04:35] Automating service pages creation for local businesses.
[00:06:22] Simplify using Google Sheets and web scraping.
[00:11:38] Automating social media, monitoring competitors, increasing engagement.
[00:16:54] Web inputs simplify and enhance data processing.
[00:18:19] New feature in ChatGPT Plus discussed. Expanding automation and AI power.
[00:21:15] Patrick shared knowledge, visit everydayai.com for details.
Key topics discussed:
- Introduction and appreciation for Hexomatic tool
- Examples of using web data with Chat GPT
- Discussion on the usefulness of Hexomatic for a client
- Updates on AI and automation in the industry
- Introduction to new feature in ChatGPT Plus for code interpretation
- Preview of upcoming information about the feature on the show
- Advice on effective use of automation and AI
- Value of automation tools like Google Sheets and Chat PT for business owners, marketers, and advertisers
- Benefits of quick access to information and actions taken based on it
- Using automation to analyze and mimic competitor's social media posting frequency and reviews
- Employing social listening strategy to engage with popular creators and increase brand presence
- Creation of service pages using Charge JPT and automation tools
- Responsibility of creating and posting content online
- Mention of Fluid Memory tool and suggestion to talk to Peter about it
- Recommendation for web scraping tool called Bad Thing
- Use of "No Data, No Business" for data scraping and analysis
- Example of using sentiment analysis on book reviews to understand preferences
- Other ways of using automation and AI for business growth
- Discussion on AI and automation for running businesses
- Updates on AI news, including Netflix documentary and Google's medical AI chatbot
- Reports of decreased traffic to OpenAI Chat GPT's website
- Importance of knowing and competing with specific competitors
- Emphasis on raising competitiveness within the company
- Gathering feedback on competitors using reviews from platforms like Amazon
- Accessibility of sentiment analysis tools
- Simplifying use of Google Sheets and "No Data, No Business" extension
- Scraping information from Google Maps into Google Sheets
- Transferring reviews to Charge JPT for sentiment analysis
- Analyzing the analysis and using keywords to develop strategies based on customer sentiments.
Keywords:
Hexomatic, Chat GPT, web data, responses, AI, automation realm, ChatGPT Plus, code interpretation, fe
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It's time to level up your training and upskill your employees with AI. 🚀
In our latest episode of Everyday AI, we dive into how to use AI to teach your employees new skills, guided by the incredible insights shared by our guest, Nancy Monroe, CEO of Verbal Transactions.
For more, check out our Episode page. If you want to join the convo and ask Jordan or Nancy questions, go here and chime in!
Time Stamps:
00:00:17 Using AI to train and improve employees
00:04:16 Focused on call center training using simulation, NLP, and bot.
00:09:57 Talking, chatting, and observing with AI technology.
00:14:14 Access to clean water and backup plans.
00:16:53 Start small with Microsoft Teams, chatbot.com, and Alexa Skills.
00:19:09 Leverage AI tools to automate and improve workflows.
Topics covered in this Episode
- Introduction to the episode and the use of AI to teach employees
- Overview of Microsoft Teams and its bot creation feature
- Information about Chatbot.com and its free trial for chatbot creation
- Introduction to Amazon Alexa and its skills feature
- Examples of skills that can be used to control devices
- Discussion on the prevalence of automated features in consumer devices
- Recommendation to start small and take advantage of free options like Alexa Skills templates
- Speaker's recent panel discussion and what they can't live without
- Concerns about potential water system attacks and the need for backup plans and independent learning tools
- Examples of power outages in Texas causing freezing conditions
- Concerns about risks associated with relying heavily on AI, bots, and machines
- Speaker's personal experience installing smart technology and regret for not doing it sooner
- Benefits of working with smart technology and advice for others
- Question about using AI to train and upskill employees
- Updates from OpenAI on GPT-4 API and Code Interpreter
- Discussion on Google considering DeepMind's Sparrow as a competitor to chat GPT
- Use of generative AI tools like GPT in Japanese schools
- Introduction of guest Nancy Monroe and her company Verbal Transactions
- Explanation of structured and unstructured data and their impact on productivity and decision-making
- Description of software that tracks empathy and skills gaps in real time
- Comparison between SCORM based learning and the software's scalable skill gap measurement
- Acknowledgement of the importance of starting automation with existing workflow processes
- Insights from Nancy Monroe about Verbal Transactions
- Conclusion and invitation to visit everydayAI.com for more information and to sign up for the newsletter
- Focus of Everyday AI in providing actionable next steps in using AI technology
- Description of a simulation platform for call center agent learning
- Implementation of natural language processing and bot technology for real dialogue in simulations
- Comparison of one-on-one tutoring with traditional classroom training and peer-to-peer groups
- Use of bots as tutors for observing and interacting with agents in real time
- Utilization of NLP and bot technology for teaching new skills
- Frustration with limitations of text-based communication compared to voice technology
- Exploration of integrating voice technology into the enterprise
- COVID's role in making voice technology more accessible
- Illustration of a scenario where a bot uses str
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Today we dive into the world of solopreneurship and how it can be transformed with the power of AI. Our guest Gabe Marusca, Founder and Strategist at Digital Finest, joins us as we talk about using AI on everything from task-based work to decision-making for your business.
For more details head to our episode page.
Join the conversation and ask Gabe any questions you have here!
Time Stamps:
[00:00:17] Daily AI news
[00:04:19] Background on Gabe and his work
[00:06:42] The impact AI has on a solopreneur
[00:11:00] How AI changes decision making
[00:14:01] Will AI-powered agencies become a reality?
[00:16:33] How a solopreneur can leverage AI
[00:21:10] AI tools that a solopreneur can use
Topics Covered in This Episode:
- Speaker's journey as a solopreneur and transition from freelancing to partnership
- Differentiating solopreneurship from freelancing and emphasizing long-term vision
- Exploring how AI technology impacts decision-making for solopreneurs
- Comparing decision-making processes with and without AI technology
- Recognizing the difficulty of predicting the future of technology
- Speculation about potential negative effects of AI pricing changes
- Balancing optimism and caution regarding AI's impact on jobs and society
- Possibility of moving towards a universal income system
- Acknowledging AI's impact on job replacement, particularly in marketing
- Idea to use AI for automating podcasting processes
- Importance of growing slowly and leveraging AI tools
- Example of using AI for competitor research
- Advantages of embracing AI for small businesses
- Concerns about big companies automating tasks in web design and marketing
Keywords:
AI, business, solopreneurship, OpenAI, superintelligence, safeguards, Chinese computer researchers, CPU, Intel, US military, task completion, ChatGPT, website traffic, iOS app, Gabe Moruska, Digital Finance, freelancer, solar partnership, web design business, contractors, Discrete, video editing tool, freelancers, trading time for money, branding, podcast, AI movement, GPT, decision-making, solo entrepreneurs, full-time employee, hiring, technology, strategy, marketing tactics, human connection, client relationships, creative marketing agencies, brands, human interaction, future collaborations, third-party partners, automation.
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We've all heard that "AI is coming to take your job." But have you heard "AI is here to help you find your dream job?" Today Martin McGovern, Founder and Career Coach at Career Therapy, join us as we dive into the various ways you can use AI during a job search, from perfecting your resume to practicing interview questions.
For more details, head to our episode page.
Join the conversation and ask Martin any questions you have here!
Time Stamps:
[00:00:50] Daily AI news
[00:03:41] AI helps with job search basics: resume, cover letter, mock interviews
[00:07:56] Using AI to create customized interview questions
[00:12:50] Can AI become a career coach?
[00:15:19] Resume and job search tips using AI
[00:19:47] Developing soft skills with AI
[00:22:48] Martin's final message to job seekers
Topics Covered in This Episode:
- Introduction to how AI can be utilized in a job search
- Common struggles in job search: resume and cover letter basics
- Overcoming emotional blockers with AI
- AI tools for cover letter generation, keyword optimization, and interview preparation
- Benefits of using AI for mock interviewing
- Using AI tools to optimize job applications and save time
- Speaker's own experimentation with AI for customized blog posts and question creation
- Tailored interview questions using AI based on job description, company, or title
- ChatGPT as a resource for guidance on using AI
- Examples of questions to ask ChatGPT for job search recommendations
Keywords:
AI, job search, resume, cover letter, emotional blockers, fears, interview questions, mock interviewing, customer service, human interaction, coaching, therapy, personal issues, information, suggestions, action, personality tests, social preferences, tears, ChatGPT, overwhelming, recruiters, companies, copywriting, job postings, company missions, applications, customized blog posts, question creation, interview questions, job description, company, job title, recommendations, job search questions, resume optimization, job matching, interview preparation, career guidance, skill development, soft skills, LinkedIn
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We made it to episode 50! In celebration of our 50th anniversary, we're breaking down 50 things you NEED to know about AI!
For more details, head to our episode page.
Join the conversation and ask Jordan any questions you have here!
Time Stamps:
[00:00:16] Daily AI news
[00:04:00] #50 - AI will take your job
[00:07:37] #40 - AI has been used since the 1980s
[00:14:00] #30 - AI boom started in 2020 with GPT-3
[00:19:55] #20 - Need to use ChatGPT instead of Google
[00:24:39] #10 - ChatGPT CEO worried about disinformation and economic shock
[00:31:19] #1 - If you don't learn AI you will be replaced
Topics Covered in This Episode:
1. Controversy over Gizmodo using generative AI instead of human writers
- Explore the implications and debate surrounding AI-generated content in journalism
2. New York law requiring companies to disclose AI usage in hiring
- Examine the significance of this law and its potential impact on employment practices
3. EU and Japan partnership on AI and chips
- Discuss the global collaboration in AI development and the importance of GPU chips for AI tools
4. AI's potential to take jobs and the prediction from Goldman Sachs
- Evaluate the growing concern over job displacement due to AI advancements
5. Inaccurate AI-related information on social media
- Expose the prevalence of misinformation and define what truly qualifies as AI
6. AI's history since the 1950s
- Explore the origins of AI, including the Turing test and the establishment of the first AI lab at MIT
7. Introduction of the first AI chatbot, Eliza
- Delve into the development and purpose of Eliza as an early AI simulation
8. AI's impact in business since the 1980s
- Discuss the rise of specialized AI systems in various industries, driven by expert systems
9. Deep learning and its contribution to AI adoption
- Explain the significance of deep learning in driving the widespread adoption and attention around AI
Keywords:
Gizmodo, generative AI, human writers, controversy, staff members, New York, law, companies, disclosure, hiring, US, AI exports, EU, Japan, partnership, chips, China, GPU chips, large language models, AI tools, US economy, jobs, Goldman Sachs, social media, incorrect updates, computer, human brain, 1950s, Turing test, AI lab, MIT, AI chatbot, Eliza, psychotherapist, business, expert systems, deep learning, datasets, adoption, attention, Everyday AI, ChatGPT
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Can you find a job with AI?
We discuss how AI can aid recruiters to find the right candidates more efficiently and effectively. Along with how you can use AI to find your next job.
Kyle Stock, a Recruiter at Ozinga, joins us as we dive into the role of humans in the candidate selection process and where AI comes into play for job seekers
For more details, head to our episode page.
Join the conversation and ask Kyle any questions you have here!
Time Stamps:
[00:01:00] Daily AI news
[00:04:25] Kyle's advice to those searching for jobs/laid off
[00:07:00] AI tools for recruiters to use
[00:09:37] Using AI to generate concise job descriptions
[00:15:04] Recruitment relies on personal choice, not AI
[00:18:58] Using AI to get a job
[00:21:30] AI enhances cold email outreach and communication
[00:24:10] Use AI to your advantage in job searches and resume creation
Topics Covered in This Episode:
- Role of AI in improving recruitment processes
- Ozinga's expertise in AI usage
- Importance of maintaining a human element in AI recruitment
- Balancing AI and human involvement in candidate selection
- Using GPT to write job ads quickly
- Job seekers using AI to streamline applications
- Benefits and potential of AI in job application processes
- AI's ongoing use in resume screening and generation
- Value placed on personal character by recruiters
- Leveraging AI for creating resumes
- Indeed as an example of AI-generated resumes
- AI's roles in creating cold emails and engaging with potential candidates
- Strategic use of AI in talent teams and HR
- Advice for those who have been laid off
Keywords:
AI, improve, work, recruiters, candidates, Ozinga, human element, choosing hires, team support, GPT, job ad, job seekers, streamline, applications, job application, resume screening, resumes, personal character, creating resumes, Indeed, tools, AI expert, computer, cold emails, BARD, ChatGPT, text campaigns, LinkedIn posts, talent teams, HR, recruitment agencies, corporate settings, layoffs, employee shortage
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You're using ChatGPT wrong. Today we’re getting into the common misconceptions and mistakes people make when using ChatGPT. We break down the 9 biggest reasons you’re using ChatGPT wrong.
For more details, head to our episode page.
Join the conversation and ask Jordan any questions you have here.
Time Stamps:
[00:01:15] Daily AI news
[00:05:40] Using the wrong version of ChatGPT
[00:09:15] Using the wrong year for ChatGPT
[00:11:40] Not using ChatGPT as your executive assistant
[00:14:50] Not training your Chats as employees
[00:17:57] Using it just for writing
[00:23:15] Using prompts only
[00:25:20] Noting giving specifics, a role, context, etc.
[00:29:25] Not training and saving your expert chats
[00:30:52] Still using Google
Topics Covered in This Episode:
1. Workplace stress and impact of AI
- Exponential surge of stress with AI adoption
- Importance of understanding and discussing AI's impact on efficiency and employment expectations
2. Controversy around US restrictions on chip sales to China
- Mention of US restrictions on chip sales to China
- Emphasis on role of chipmakers and AI companies in driving US economy
3. Common mistakes in using ChatGPT
- Not using the paid version of ChatGPT
- Using outdated versions of ChatGPT
- Not utilizing ChatGPT as an executive assistant
4. AI news
- OpenAI accused of hoarding personal data in a potential class action lawsuit
- Report on how AI influences social media
5. Study on rapid adoption of AI and its effects on mental health
- Mention of a study unveiled at the KPMG Woman's Leadership Summit
9. Addressing incorrect use of ChatGPT and main topic of discussion
- Reminding the audience that the livestream is for answering questions about ChatGPT and other subjects
Keywords:
stress, workplace, AI, exponential surge, adoption, understanding, discussing, impact, efficiency, employment expectations, controversy, US restrictions, chip sales, China, chipmakers, AI companies, driving, US economy, common mistakes, ChatGPT, paid version, outdated versions, executive assistant, Everyday AI, audience, joining, subscribing, rating, website, AI content, daily newsletter, breaking barriers, incorrect use, main topic, livestream, answering questions, OpenAI, accused, hoarding personal data, class action lawsuit, report, influences, social media, study, rapid adoption, mental health, KPMG Woman's Leadership Summit
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From disease detection tools to new medications being created, AI is already starting to play a huge role in the medical industry. So what does that mean for us and the future of healthcare? Dr. Harvey Castro, Physician & Healthcare Consultant and author of ChatGPT and Healthcare, joins us to break down what role AI will play in healthcare.
For more details, head to our episode page.
Join the conversation and ask Dr. Harvey any questions you have here!
Time Stamps:
[00:00:37] Daily AI news
[00:02:33] Intro to Dr. Harvey Castro
[00:04:37] Can AI become a doctor?
[00:06:20] About Dr. Harvey Castro
[00:07:40] Dr. Harvey Castro's process for writing ChatGPT and Healthcare
[00:09:00] Are medical professionals scared of AI?
[00:11:14] Can AI take over the roles of doctors?
[00:13:53] Using GPT technology in healthcare
[00:17:08] Can AI improve empathy for patients?
[00:22:55] Education and medical industries adopting GPT-based technology
[00:27:17] AI revolutionizes medical procedures and lab work
[00:30:03] Future of healthcare: AI transcription, virtual exams.
[00:32:38] Where will healthcare be in 5 years?
Topics Covered in This Episode:
- Future potential of doctor-specific reinforced learning
- Mention of companies working on these technologies, Glass Health AI and Hippocratic AI
- Emphasis on communication in healthcare and comparison to explaining complex concepts to a five-year-old
- Use of GPT technology to improve communication, specifically in discharge instructions
- Consideration of factors such as age, gender, and culture in healthcare communication
- Example of using GPT to convert discharge instructions into a coloring book for a child with pediatric asthma
- Projection of GPT technology as the future of healthcare communication
- Recognition that AI cannot replace the art of medicine and the importance of considering all facts and data
- Concerns about bias in AI and its potential to mislead doctors
- Potential lack of experience and intuition in younger doctors heavily reliant on AI and technology
- Necessity of doctors with medical knowledge and the ability to gather and interpret information for accurate diagnoses and treatment
- Mention of the saying "see one, do one, teach one" in medical school
- Description of surgical AI technology assisting surgeons during procedures
- Discussion of AI in virtual simulations for medical training and practice
- Desire for AI to walk the speaker through procedures as a resident and mention of AI and ultrasound technology
- Potential automation in lab work and analysis of test results using AI technology
- Concerns about external pressure and the risk of increased healthcare costs
- Frustration of doctors using computers during appointments and future vision of AI transcribing conversations and capturing physical exams
- Envisioning virtual consultations and virtual ambulances equipped with cameras
- Changes in education and testing driven by companies and AI technology
- Use of auto GPT for updating medical education and AI in content creation for education
- Anticipated changes in medical school and other educational institutions
- Resistance from the medical community towards the use of AI technology in healthc
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Wondering what's the best way to use Midjourney, an AI image generator? Today David Barona, Founder of Prompter Mag. joins us as we dive into the best methods for using Midjourney and how it can be prompted with keywords, emojis, and story prompts.
For more detail, head to our episode page.
Join the conversation and ask David any question you have here!
Time Stamps:
00:01:17 US presidential race uses AI; Google gaming; Baidu beats ChatGPT
00:03:15 About David and Prompter Mag
00:04:56 Using Midjourney to create a magazine
00:07:00 How Midjourney works
00:11:20 Prompting Midjourney
00:17:07 How you can use Midjourney in your daily life
00:19:09 AI and content creation
Topics Covered in This Episode:
- Versatility of Midjourney
- AI image generators and experimentation platform
- Satisfaction of completing design projects with AI
- Ownership and copyright issues
- Usage of AI in corporate content creation, legal concerns, and potential benefits
- "Keyword prompt method" for identifying aesthetic elements
- Deepfake technology and ethical considerations
- Introduction of a new magazine focused on chalk art
- AI in politics and Google's new AI strategy
- Baidu's AI bot Ernie Bot
- Everyday AI website features, including newsletters and podcasts
- Guest speaker David Barona, founder of Prompter Mag.
Keywords:
Midjourney, AI image generator, emojis, single words, story prompts, tag style prompts, text to image, experimentation platform, designer satisfaction, refined craftsmanship, train models, legal concerns, open conversation, keyword prompt method, chalk art, deepfake technology, lawsuits, watermarks, Adobe, magazine, US election, Google, Baidu, Ernie Bot, Everyday AI website, David Barona, Prompter Mag.
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Are the days of coding gone? With AI advancing the web design space, does it have the potential to make web designing more accessible?
Tony Lewis, a Marketing Specialist at Thrive Themes, joins us to discuss no-code solutions combined with AI capabilities to help reduce the learning curve for users and make web design and development easier and more efficient.
For more details, head to our episode page.
Join the conversation and ask Tony any questions you have here!
Time Stamps:
[00:00:17] Daily AI news
[00:04:16] Using AI to reduce learning curve in web design
[00:06:48] AI solutions in existing web platforms
[00:10:53] Recommendations for web building tools
[00:13:59] Making web design simple with editors
[00:17:12] Using big brands for website inspiration
[00:20:45] Create value, sell it through web design
Topics Covered in This Episode:
- The potential for AI in web design to make it more accessible to those who are new to the field
- Discussion of low code, no code, and AI in web design
- The potential for existing technology platforms to develop advanced AI solutions
- The speaker's desire for easier and more accessible solutions for marketing
- Discussion of programming and web design, including the use of drag-and-drop editors
- Experiences with AI solutions and a preference for WordPress and Thrive Architect page builder
- Discussion of AI-first or AI-exclusive platforms for web design and development
- Potential for AI to reduce the learning curve for users
- Tips for learning basic web design, including replicating websites and utilizing resources like Thrive University.
Keywords:
AI, web design, web testing, accessibility, building websites, page building, CSS, HTML, Python, no code, coding, podcast, newsletter, Mark Zuckerberg, Sam Altman, AI privacy act, eye diseases, Amazon, generative AI, Tony Lewis, marketing specialist, Thrive Themes, low code, livestream, technology platforms, user interfaces, Framer, marketing solutions, graphic creation, programming, WordPress, Thrive Architect, Webflow, Bubble, Durable, non-technical people, presentation, email, Figma, Jack Adams, Walmart, learning Python, no-code solutions, learning curve, jobs, efficiency, big brands, Apple, New York Times, Thrive University.
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Think about all your daily tasks that involve research or learning for your business growth. Now think of doing all those tasks 3x faster. That's what happens when you replace Google with ChatGPT for your business.
Today Bryan Sagray, a Personal Performance Coach, joins us to explain how he replaced Google with ChatGPT for day-to-day tasks.
For more details, head to our episode page.
Join the conversation and ask Bryan any questions you have here!
Time Stamps:
[00:00:17] Daily AI News: language learning, women's job loss, and AI training outsourcing
[00:03:37] About Bryan and his coaching business
[00:05:23] Starting a virtual business with AI
[00:06:47] Premium ChatGPT gives better results
[00:11:47] ChatGPT saves time when searching
[00:16:14] Creating marketing materials with ChatGPT
Topics Covered in This Episode:
- Avoiding decision fatigue through the use of tools
- Multiple windows and documents used to avoid distractions
- Distraction-free environment to avoid burnout
- Focused mindset leads to productivity
- ChatGPT app vs Google for day-to-day tasks
- Positive experience led to switching to ChatGPT
- Skepticism about AI
- Accuracy checked using another system
- Launching a business virtually with AI and Image Generation tools
- ChatGPT used to create coaching models
- Leveraging technology for scaling and providing physical resources for clients
- Everyday AI podcast overview and discussion on whether Chat GPT can replace Google
- Paid version of ChatGPT is fast and concise
- Recommendation to try free version and watch comparison videos
- Founder of a performance coaching business
- Experience with coaching and neuroplasticity
- Helps people overcome fear and limiting beliefs
Keywords:
tools, decision fatigue, distractions, notifications, ads, burnout, focus, productivity, information overload, AI, Google, ChatGPT, accuracy, entrepreneurship, free online tools, coaching, proprietary methods, scaling, physical resources, AI news, language learning, feedback loops, job displacement, ChatGPT vs Google, YouTube videos, performance coaching, fear, limiting beliefs, neuroplasticity.
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Will AI actually take our jobs? It's been the biggest question since the boom of AI. With a Goldman Sachs study predicting that 300 million jobs will be lost or degraded by AI, the answer is yes...technically. Today we dive in and give our thoughts and insights.
For more details, head to our episode page.
Join the conversation and ask Jordan any questions you have here!
Time Stamps:
Full show notes here
[00:01:17] New Marvel show goes full AI
[00:02:05] Generative AI is a new cybersecurity threat
[00:02:48] Tech stock boom around AI
[00:04:20] Will AI take our jobs? Yes.
[00:05:50] Goldman Sachs predicts 300 million jobs will be lost to AI
[00:07:04] IBM, Microsoft, Facebook Google: Examples of AI and job loss
[00:10:40] OpenAI CEO warns of AI economic shock
[00:12:15] Common reason why people think AI won't take jobs
[00:31:50] Big takeaway and what can we do about it?
Topics Covered in This Episode:
1. News
- Discussion on Secret Invasion
- Generative AI as a security threat
- AI tech stock boom and its impact on the Federal Reserve
2. Will AI take our jobs?
- Citing a Goldman Sachs study predicting 300 million jobs loss
- Examples of major tech companies investing billions in AI while laying off thousands of employees
3. Answering the question: Will AI take our jobs?
- Yes, it will take many jobs and be disruptive
-Debunking reasons people think AI won't take jobs
Keywords:
Secret Invasion, generative AI, security threat, tech stock, Federal Reserve, AI taking jobs, Goldman Sachs study, tech companies, layoffs, disrupting, improving careers, resource, everyday people, learning, AI, Microsoft, Google, OpenAI
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Can small businesses run entirely on ChatGPT and plugins? We think so! Today we're breaking down the importance of ChatGPT plugins and how they can increase productivity and efficiency. So buckle up and let's dive in!
For more details, head to our episode page!
Time Stamps:
Full show notes here
AI News -
[00:01:30] The Grammy's is adding rules for AI
[00:02:11] IBM and Adobe partnering for generative AI
[00:03:49] OpenAI opening an AI app store?
ChatGPT Plugins -
[00:05:20] Free ChatGPT vs paid version
[00:09:50] How to access ChatGPT plugins
[00:13:30] Plugin Tip: create plugin packs
[00:16:05] Answering a few ChatGPT plugin questions
[00:21:15] Pro version limitation: NEVER click "use default mode"
[00:25:40] Recap: Can't switch modes with plugins; Can only use 3
[00:28:15] Jordan's final thoughts on plugins
Topics Covered in Today's Episode:
1. Small businesses run by ChatGPT and plugins
- Possibility of ChatGPT takeover
- Recent news and AI's impact on the job market
2. Importance of ChatGPT plugins
- Advantages of using the paid version
- Browsing capabilities with Bing
- Access to recent information
3. The worth of ChatGPT Plus
- $20 as a worthwhile investment
- Plugins' impact on productivity and efficiency
Keywords:
Everyday AI, podcast, speaker, listeners, episode, subscribe, rating, support, website, daily newsletter, sign up, ChatGPT, plugins, AI news, job market, importance, paid version, browsing capabilities, Bing, recent information, $20, productivity, efficiency, small businesses, impact
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On this episode of Everyday AI, we're joined by Thyagi DeLanerolle, Co-Founder and CEO of OOt Social to talk about what impact AI will have on the future of social media and what it's already being used for to advance our social experience. We also cover how AI is being used in other industries, the importance of making meaningful connections in networking events, and the potential for social media to bring humans closer together.
For more details, head to our episode page!
Time Stamps:
Full show notes here
AI News -
[00:00:57] Facebook challenges Google & OpenAI
[00:01:30] Vimeo adding an AI script generator
[00:02:11] AI can predict a person's political stance?
Guest -
[00:02:55] About Thyagi DeLanerolle and OOt Social
[00:04:55] Will Social media improve with AI?
[00:06:42] How OOt uses AI to transform social media
[00:12:07] Blog tools used to optimize social media
[00:15:34] AI as an executive assistant improving efficiency
[00:19:27] Optimize networking with an AI approach
[00:22:28] Optimize time with tech and balance nature
Topics Covered in Today's Episode:
1. The role of AI in enhancing the human experience on OOt platform
- Moderation in the chat function
- Customized event recommendations
- Conversation starters
- Internal debates on other AI avenues
2. Tools and hustle in leveraging blogs and social media
- Auto-generating headshots with Headshot Pro
- Successful email pitch to Ryan Turnbull
- Meta's competition with Google and Microsoft in generative AI
- Vimeo's new AI script generator
- AI's ability to predict political leanings based on profile pictures
3. Tiagi de Le Narol on making social media more social and human
- Current social media is not truly social
- Potential for social media to improve in the next wave of new tools
- Importance of face-to-face connections for human biology and health
4. Optimization of networking events and AI tools in coding
- The importance of meaningful connections
- Using AI tools like Copilot and Jasper
- The value of using ChatGPT4
- The balance between using technology to be efficient and disconnecting completely
5. OOt Social's origin story and vision for a new platform
- Personal struggle with loneliness and disconnection
- Creating a new platform for human connectivity
- Real-life connections with people with similar interests
- Detecting other users' proximity and interests to connect in real-time at a venue
Keywords:
AI, moderation, chat function, events, event recommendations, conversation starters, enhance, human experience, leverage, blogs, social media, Headshot Pro, press release, chatbot, Member of Parliament, Ryan Turnbull, sales, hustle, Meta, Google, Microsoft, generative AI, text-to-speech, text-to-image, Vimeo, AI script generator, paid subscribers, Fox News, political leanings, social media, LinkedIn, coding, Copilot, Jasper, ChatGPT4, networking events, optimization, face-to-face connections, executive assistant, education, balance, technology, efficiency, nature, platform, social networking, real-life connections, proximity, opt-in.
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Today we're talking about how to improve advertising using AI. From the benefits of using AI-generated content to using ChatGPT for copywriting and data analysis, we're covering the best AI tips and tools for advertising. Pierre-Paul Couronne from LearningMarketing.co joins us as shares insights on using AI in advertising.
For more details head to our episode page!
Time Stamps:
Full show notes here
AI News -
[00:00:56] Meta's new voice cloning technology
[00:02:01] Is AI going to make us dumb?
[00:02:42] 92% of programmers are using AI
Guest -
[00:04:58] About Pierre-Paul and his work
[00:05:55] What role does AI play in advertising?
[00:06:50] How ad platforms are adding AI
[00:09:27] Is there too much AI in advertising?
[00:13:06] Use AI to analyze data
[00:16:33] AI tools you can use
[00:17:58] Using AI in daily tasks
Topics Covered in This Episode:
1. Speaker's background and work at Impact Media
- Multi-tasking and multiple jobs
- Agency's focus on purpose-driven brands
- Role in media buying, research, and ad strategies
- Freelance work in SEO and content marketing
- Creating a blog to help small businesses get online
2. Changes in retargeting capacities after iOS 14
- Advertisers more mindful about consumer data
- Focus on creating better ad content using AI
3. Using ChatGPT or other AI systems in daily life
- Speakers advice to power users, including prompting courses and priming the chat
- Caution against solely relying on AI-generated content
- Importance of personalizing content through revisions
- Surge in AI-generated content predicted
4. Benefits of AI in data processing
- Collecting information that companies may already have gathered
- Data prioritization
- Using AI tools like ChatGPT
- Trusting AI tools used
- Analysis of a client's event survey with ChatGPT
- Identification of common themes and pain points
- Eliminating biases when analyzing data to create buyer personas
5. Introduction to AI in advertising
- Prevalence of AI in advertising
- Meta's new voice cloning technology
- Debate on whether AI is making humans less intelligent
- GitHub survey showing 92% of programmers are using AI
- Encouragement to sign up for the daily newsletter for more AI news and information
6. Beautiful AI and Reclaim
- Uses of Beautiful AI for presentations, reporting, and pitches
- Features of Beautiful AI that automatically build presentations
- AI scheduling tools like Reclaim for managing multiple schedules.
Keywords:
AI, Beautiful AI, Reclaim, workflow, task, Chat GPT, AI systems, purpose-driven brands, media buying, Facebook, research, ad strategies, SEO, content marketing, retargeting, iOS 14, targeted audience, prompting course, personalizing, AI-generated content, mindful use, data processing, Google Analytics, surveys, bias elimination, buyer persona, marketing strategies, Advantage Plus, historical conversion data, Beautiful AI presentations, Reclaim scheduling tools, Meta, voice cloning technology, human intelligence, GitHub survey, daily newsletter.
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What do you do when ChatGPT keeps lying? That's referred to as ChatGPT "hallucinating." Today we're breaking down how to make sure you're always getting up-to-date and factual information from ChatGPT.
For more details head to our episode page!
Time Stamps:
Full show notes here
[00:01:15] Oracle stock rises after announcement of generative AI
[00:02:12] AI is coming to Starbucks
[00:03:15] Are AI watermarks coming to social media campaigns?
[00:04:46] What are ChatGPT Hallucinations?
[00:09:35] 5 Ways to Avoid ChatGPT Hallucinations
[00:09:40] 1. Using the Wrong Version
[00:11:32] 2. Using the Wrong Mode
[00:13:32] 3. Bad at Prompting
[00:15:57] 4. Not Specific Enough
[00:17:28] 5. Not Feeding ChatGPT Data
[00:19:55] Audience Questions about ChatGPT
Topics Covered in This Episode:
1. Large Language Models and Hallucinations
- Discussion on the potential for large language models to provide inaccurate or false responses
- Focus on Chat GPT
2. Recent AI-Related News Stories
- Oracle's entry into the generative AI space
- Starbucks' implementation of AI chatbots at their drive-thrus
- Ogilvy's push for advertisers to disclose their use of generative AI
3. 5 Tips to Avoid Chat GTP from Providing Hallucinations
- Keywords and its context
- Information input
- Shorter text
- Fine-tuning
- Avoiding keyphrases and unlimited text
Keywords:
Everyday AI, language models, Chat GPT, inaccurate, false responses, AI-related news, Oracle, generative AI, Starbucks, AI chatbots, drive-thrus, Ogilvy, advertisers, campaigns, five tips, avoiding hallucinations, false responses, podcast, speaker, thank you, joining, subscribe, rating, daily newsletter, sign up, motivational message, break barriers, next episode.
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How can AI can unlock new levels of creativity for art and design? Today we explore the creativity-packed world of Midjourney, a text-to-image AI generation platform.
Rory Flynn, Head of Client Acquisition at Commerce12, joins us to talk about how he uses Midjourney in his everyday work and how its become a game changer for creative output.
For more details head to our episode page!
Time Stamps:
Full show notes here
AI News -
[00:01:00] 42% of CEOs think AI could wipe out humanity
[00:01:50] Coursera's CEO is warning that AI is coming for the jobs
[00:02:25] Google is warning its own staff about chatbots
Guest -
[00:04:10] How Rory and Commerce12 use Midjourney
[00:05:15] Breakdown of Midjourney and Discord platform
[00:09:19] Making AI images look realistic with photos
[00:12:12] Midjourney examples
[00:14:05] Using Midjourney for emails
[00:17:36] LinkedIn posts lead to creative Midjourney use
[00:20:47] AI accessible, affordable, infinite use cases
Topics Covered in this Episode:
1. Introduction to AI and recent AI developments
- CEOs' concerns about AI wiping out humanity
- Coursera CEO warning about unexpected job loss due to AI
- Google's warning to staff about using code from chatbots
2. Guest Interview - Rory Flynn, Head of Business Development at Commerce Twelve
- Discovery of AI tool on Twitter
- Use of AI tool for the agency's operations and marketing
- Demonstration of Discord platform
- Discussion on generative AI
3. Use Cases for Mid Journey AI tool
- Creation of stock photography for small businesses
- Collaboration between Urban Outfitters and Crayola for a mood board generator
- Using Mid Journey for email marketing templates
4. Realism in Design
- Use of photographic elements to achieve a realistic quality
- Example of creating a fashion line inspired by graffiti artists
5. AI's Capabilities and Potential
- Cheats codes for software design prompts
- Sharing of detailed information on LinkedIn
- Creative uses of Mid Journey
- Prompting from an image, not just text
Keywords:
art, AI, world-class artists, CEOs, big companies, humanity, warning, Coursera, unexpected jobs, Google, chatbots, business development, sales, Twitter, images, agency operations, marketing, Discord, generative AI, accessibility, stock photography, high ROI, responsibility, OpenAI, Dolly, Stable Diffusion, text prompt, advertising, creative agency, collaboration, Urban Outfitters, Crayola, mood board, email marketing, design, photographic elements, lighting conditions, fashion line, National Geographic photographer, cheat codes, templates, landing pages, detailed information, LinkedIn, prompts, processes, school projects, AP history, interactive learning, vintage photos, retouching, image.
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How can you apply ChatGPT across multiple aspects of a company? Today our guest Erik Boemanns, VP, Technology/Security of Improving, joins us to discuss how ChatGPT can act as an input provider, not a replacement for human work. From assisting professionals in writing policies, marketing campaigns, and proposals more effectively, we break it down.
Time Stamps:
AI News -
[00:00:17] EU Parliament passes first Western AI Law
[00:02:10] Salesforce's new AI cloud software
[00:02:52] Meta releasing its own AI image creation model
Guest -
[00:05:00] What Erik and Improving are doing
[00:06:48] Using ChatGPT and CoPilot in a business
[00:10:11] ChatGPT - a helpful teammate for input
[00:13:11] Accuracy and trust in AI language tools
[00:17:03] Copilot: produces documentation & incident reports automatically
[00:19:23] AI improving productivity and output in companies
For full show notes, head to YourEverydayAI.com
Topics Covered in This Episode:
1. Trusting AI language models
- Concerns about accuracy of AI output
- Importance of measuring AI's accuracy and detecting inaccuracies
- Importance of trust in language models
2. Impact of AI on productivity and output for larger companies
- Discussion of Microsoft Copilot and its potential to improve productivity
- Use cases for ChatGPT in smaller and larger companies
- Acknowledgement of barriers to using ChatGPT in enterprise-sized companies
- Speaker's belief that AI products enable improved productivity without resulting in job loss
3. Potential of AI product called Copilot
- Ability to streamline documentation and reporting processes in consulting work
Key points:
- AI language models such as ChatGPT can be used in any department of a company, not just software development.
- ChatGPT can be used to help professionals write policies, marketing campaigns, and proposals more effectively.
- Need to always double check ChatGPT's suggestions.
- ChatGPT is a helpful input provider, but not a replacement for human work.
- Using AI products leads to improved productivity and does not result in job loss.
- Companies need to consider how they use AI products to remain competitive while also protecting their intellectual property.
- Microsoft Copilot and similar products have potential to streamline processes and improve productivity in consulting work.
Keywords:
IT consulting, software development, AI, internal business capabilities, consulting practices, EU AI Act, foundation models, copyright laws, Salesforce, AI-infused software suite, Salesforce AI cloud, Meta, AI image creation model, I Jeppa, Eric Bowman, VP of technology and security, language models, accuracy, foreign language translation, confidence score, ChatGPT, Microsoft Copilot, productivity, output, content creation, ideation research, barriers, input provider, competitive disadvantage, intellectual property, job loss, improved productivity, distilling large amounts of information, Copilot, documentation, reports, After Action Report, Excel, PowerPoint, Word.
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Today we're using ChatGPT to boost creativity for entrepreneurship. Dennis Berry, Business and Life Coach at Heart of Wealth, joins us as we dive into the challenges of ideation and content creation for entrepreneurs, the benefits of using Chat GPT to kickstart the writing process, and tips for making the most of the tool.
Time Stamps:
AI News -
[00:00:56] Cloning software Synthesia hits $1B
[00:01:52] AI used to create new Beatles song
[00:02:45] US Senate holds hearing on AI regulation
Guest -
[00:03:56] Dennis Berry joins the show
[00:04:40] Dennis' background and Heart of Wealth
[00:06:03] Using AI as an entrepreneur
[00:07:31] ChatGPT helps with ideation and content creation
[00:09:09] Sell your business through mastermind groups
[00:11:51] Expertise is key to using AI wisely
[00:14:34] Social media for business needs planning. Outsource or shorten
[00:19:02] Editing is easier with ChatGPT
For full show notes, head to YourEverydayAI.com
Topics Covered in Today's Episode:
Topic 1: Using Chat GPT for Creative Work
- Mental blockages and taking breaks to overcome them
- Difficulty of the first step and how Chat GPT can help
- Use of Chat GPT to create a book using "Write a Whole book with one click" feature
- Benefits of Chat GPT for entrepreneurs and content creators
- Importance of editing even with AI assistance
- Pressure of creating social media content for entrepreneurs
- Use of Chat GPT for social media and impressing sponsors with copywriting skills
- Importance of providing good directions and ensuring high-quality content
Topic 2: Using Chat DPT for Ideation and Content Creation
- Chat DPT for generating ideas and forming content
- Not recommending copying and pasting generated content into posts
- Using generated content as inspiration and making it their own
- Using Chat GPT and maximizing its value for entrepreneurs
Topic 3: Importance of Social Media for Business and AI as a Tool
- Speaker's experience of spending excessive time on social media as an entrepreneur
- Outsourcing and using chatbot services to save time and cut work
- AI as a tool and how it does not replace humans
- Chat TPT and other tools as a guide to help entrepreneurs make AI their own
- Using AI for ideas rather than copying and pasting
Topic 4: Continuous Learning and Personal Growth
- Importance of continuous growth and not becoming complacent
- Using learning to generate ideas and create lead magnets
- Benefit of continuously learning instead of starting from scratch
Keywords:
Mental blockages, creativity, taking a break, "zero to one", ChatGPT, content creation, book writing, entrepreneurs, Adam Corolla, AI, editing, social media content, business tasks, Delphine, sponsor, copywriting, audience, ideation, content creation, natural, platforms, specific information, accuracy, outsourcing, chatbot, time-saving, supplement, expertise, humans vs AI, new opportunities, Mastermind group, lead magnets, funnel, "Mastering Success: The Power of Mastermind Groups to Grow Your Business", podcast advice, never stop learning, technology, AI news, digital cloning platform, Synthesia, Beatles song, AI regulation, US stock market, Dennis Barry, Heart of Wealth Mastermind Group.
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What role will AI play for students? Today we explore the world of AI in education with guest Nikunj Tyagi, an Undergraduate Student University of Illinois. We discuss how universities are teaching AI and how students can use AI to solve everyday problems.
Time Stamps:
[00:00:16] Is AI advancing too quickly?
[00:02:00] AI is changing the game for job seekers
[00:03:00] Using AI art to generate celebrity couple's kids
[00:04:00] Introduction of Nikunj Tyagi
[00:04:20] Are students using AI the right way?
[00:06:25] AI makes app development accessible to all
[00:09:55] How college gives a deep understanding of major topics
[00:12:32] AI in education: cool or dangerous?
[00:16:48] College network provides valuable connections for growth
[00:20:27] AI helps build discipline and solve problems
[00:24:37] AI enhancing education and emerging technology fields
[00:26:34] AI helps students and creatives learn better
For full show notes, head to YourEverydayAI.com
Topics Covered in this Episode:
Topic 1: AI Education in Universities
- AI being presented as both dangerous and beneficial by many universities.
- AI being taught to students at a freshman/sophomore level.
- Classes on machine learning, AI ethics, and practical applications of AI using Python libraries and machine learning foundations.
Topic 2: The Future of Programming
- The shift of programming from machine code to compiled languages like C++, and now towards creating apps without code using AI.
- The future potential of not requiring understanding code, just the ability to think of what to create using AI.
- The use of Chat GBT with university/college learning to build useful products faster.
Topic 3: AI Beyond Education
- Potential future uses of AI in education, including using it to check for cheating, creating curriculums, and introducing new classes.
- Uses of AI in biotechnology with prosthetic limbs to sense and respond to neural messages from the body.
- Changes to the job application process through AI and automation.
Topic 4: AI Literacy
- The value of building a network and making connections with other students and alumni.
- The role and importance of AI ethics in the future.
Topic 5: Practical Advice on AI
- Use of AI language models for creating schedules and studying technical subjects like physics.
- Ideas on how chat GPT can help students in their lives without app development knowledge.
Topic 6: Independent Use of AI
- Using AI to tackle repetitive tasks while working on harder things.
- Warning against relying too much on AI as it may prevent learning and developing valuable skills.
Topic 7: Chat with You and App Development
- The story of how the speaker and their friends developed an app to help college students find events on campus.
- Chat with You's contribution towards learning to develop the app using different development platforms.
Keywords:
AI, Prometheus, dangerous, beneficial, universities, students, freshman, sophomore, courses, machine learning, AI ethics, MRI brain tumor detector, Python libraries, coding, AI literate, programming, machine code, compiled languages, C++, app development, ChatGPT, education, cheating, curriculums, biotechnology, prosthetic limbs, networking, University of Illinois, Silicon Valley trip, AI language models, GPT 3.5, GPT 4, tech literacy, practical ad
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What happens when AI isn't well accepted in your country? Eman Fatima Syeda joins us to talk about the perception of using AI in different countries. While the use of AI is generally viewed positively in the US, there is hesitation around its usage in Pakistan, particularly in regard to generative AI and chatbots. The discussion touches on the generational and governmental factors that contribute to this fear and how it impacts businesses and hiring.
Time Stamps:
[00:00:55] Palantir CEO Alex Karp doesn't want AI to "pause"
[00:02:23] Meta's new AI breakthrough
[00:04:36] Eating disorder chatbot gone rogue
[00:07:27] What happens when AI is taboo
[00:09:11] Old generations resist innovation, AI usage feared
[00:12:52] Another perspective on using AI in research
[00:15:29] Eman's startup enhances transport with AI & e-vehicles
[00:17:32] AI use should align with ethics
For full show notes, head to YourEverydayAI.com
Topics Covered in This Episode:
Topic: Perception of AI in the US and Pakistan
- In the US, AI is viewed positively and considered innovative
- Generative AI or chatbots are not widely accepted or trusted by professionals or students in Pakistan
- The fear of using AI and new technology is based on ethical considerations and potential negative outcomes in Pakistan
Topic: Attitude Towards Innovation
- Some people from the 90s or early 2000s believe that innovations, especially with technology, should not be associated with business if there are old ways of doing work
- This mindset is prevalent in East Asia, where the older generation tends to discourage the new generation from bringing innovations because of their fear of change
- This attitude is linked to both generational and governmental factors
Topic: Startup Focused on Using AI to Enhance Transportation Systems
- The startup has three microtech models to create an integrated smart mobility network that uses AI
- The goal is to reduce road accidents and create a more user-friendly and advanced travel experience through integration of sensors and intelligent crossovers
Topic: Using AI for Publications
- Some people view using AI for publications as taboo, while some see it as a way to update and improve themselves
- Acceptance of using AI for publications depends on the perspective and location/environment
- Dr. Esteka recently allowed students to publish their publications with AI. However, there was a case where a student was punished for using generative AI to outline their publication
Topic: ChatBots
- The speaker talks about a chatbot called Tessa, created by the National Eating Disorders Association to help people with eating disorders
- The bot went "bad" when unapproved updates turned it rogue and gave people looking for help with eating disorders bad advice
- There is concern that this will be a problem in the future as people start to develop their own chatbots
Keywords:
AI, Pakistan, US, generative AI, chatbots, technology, innovation, ethics, negative outcomes, job loss, startup, smart mobility network, sensors, intelligent crossovers, crossbows, creativity, publications, generational divide, perspectives, Tessa, National Eating Disorders Association, rogue bots, advice.
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We explore the world of AI-powered sales strategies. Tommy Slocum,
Founder and CEO of The SD Lab, joins us as we discuss how to use AI effectively in sales. Jordan and Tommy share their experiences in growing successful companies using AI tools like ChatGPT and Wingman.
Time Stamps:
[00:02:34] AI breakthrough & voice cloning scams rise
[00:05:03] AI tutoring boosts learning, requires regulation
[00:07:40] How The SD Lab uses AI
[00:10:17] AI improves sales function and personalization
[00:14:16] AI Tools to improve sales for call recording & outreach
[00:19:11] The importance of ChatGPT
For full show notes, head to YourEverydayAI.com
Topics Covered in This Episode:
- AI in Sales
- Show and Tell is Effective for Teaching AI
- AI Overcoming Challenges
- The Power and Limits of AI
- Chat GPT - An AI Tool for Learning and Sales
- Awakening Interest in AI and Combatting Scams
- Personalization and Relevance for Sales
- AI-Powered Tools for Sales Professionals
- Using AI to Capture and Analyze Details from Calls and Meetings
- Call Recording and AI Tools to Monitor and Empower Sales Teams
- Technical Founders Struggling with Sales
- Personalizing Outreach and Creating Sales Sequences
- Founder and CEO of the SD Lab Gives Insight on AI Tools
- Benefits and Limitations of AI Tutoring
- Need for Regulation and Monitoring of AI Tutoring
Keywords:
sales, AI, show and tell, challenges, human touch, learning, ChatGPT, free version, paid version, recommendation, breakthrough, voice cloning scams, personalization, relevance, insights, pre-meeting recaps, live web browsing, database, call recording, body language, sentiment, Gong, Chorus, Wingman, ChatGPT, Reggie AI, CRM, predictable pipeline, lead scoring, founder, SD Lab, top-of-funnel consulting, Clery, keywords, transcripts, calculators, Chat QPT, tutoring bots, regulation, monitoring.
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Can ChatGPT stand up to the task of being our host today? That's what we're going to find out! We're using ChatGPT to provide the inside scoop on the latest AI news and follow-up questions for Jordan and co-host/producer Brandon!
Time Stamps:
[00:00:00] How we're using ChatGPT for today's episode
[00:02:53] Anderson Horowat says AI is going to save the world
[00:05:25] Invisible AI's new AI cameras watch you work
[00:08:50] AI writing for WordPress
[00:14:01] Business Insider's 10 roles that AI will replace
[00:15:02] Is ChatGPT the future of the workplace?
[00:18:30] Companies crashed surfing the GPT wave
[00:22:05] AI monitoring may not need humans soon
For full show notes, head to YourEverydayAI.com
Topics Covered in Today's Episode:
- Uncertainty around ChatGPT's impact on the workplace
- Goldman Sachs study suggests that up to 300 million jobs could be impacted by AI
- AI implementation needs to be approached correctly to benefit companies and jobs
- Should AI editing and proofreading in the office always be monitored by a human?
- Discussion of using AI agents to monitor work
- WordPress' new AI technology
- Significance of GPT 3.5 and GPT 4 in AI technology
Keywords:
ChatGPT, AI writing assistant, Hemingway, Jasper, WordPress, productivity, workplace, small and medium-sized businesses, Goldman Sachs, job titles, technological advancements, data, Automatic, Jetpack AI assistant, selectable writing tones, grammar, spell checking, fear, decision-makers, editing, proofreading, technology, agents, fact-checking, AI-generated output, WordPress version, GPT 3.5, GPT 4.
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Who says complex business problems call for complex solutions? If you spend the right time on it, ChatGPT can get you there! Today Sandra West, CEO of Bellastrega, joins us to share tips on how to create effective prompts when utilizing AI language models like ChatGPT. We also touch on various AI tools such as BARD, MidJourney and WriteSonic, and how they can assist businesses in market research, branding, and social media content.
Time Stamps:
[00:00:58] Apple releases new XR headset
[00:04:40] Europe may pass regulations impacting US technology
[00:07:26] How Sandra uses ChatGPT
[00:10:42] AI tools: great but needs editing and branding
[00:14:01] Specific parameters are crucial when creating prompts
[00:17:36] Tools used: BARD, MidJourney, WriteSonic. Beneficial for ideation, research, and teamwork
[00:20:32] AI tools evolving fast, software DID leading
For full show notes, head to YourEverydayAI.com
Topics Covered in This Episode:
1. AI Tools and their advantages
- BARD, MidJourney, WriteSonic are AI tools that are great for research, ideation and obtaining news stories respectively.
- These tools are great for working with a team.
- Sandra discusses her experience with AI tools and how they have helped in her work.
- Sandra mentions the limitations of AI in terms of producing content.
2. Apple's new release and its impact
- The speaker missed the news release on the features of the new Apple product.
- Apple fans are known for their diehard loyalty.
- The new Apple product, the Vision Pro, is expected to make a big splash.
- The stock drop suggests that the new product may have been disappointing or priced higher than expected.
3. Regulation of AI and its impact
- AI is becoming pervasive and is unlikely to go away.
- The US has been notoriously slow at regulating digital matters.
- Regulating AI is necessary and will alleviate concerns about AI's impact on jobs and content.
- The speaker also discusses how AI's impact on jobs has evolved over time.
4. The use of technology for market research and social media content
- The use of AI tools has increased productivity and sped up the process of market research and content ideation.
- Sandra discusses her company's use of AI for branding, social media content and market research.
- Europe is creating boundaries and regulations ahead of the US when it comes to technology.
5. Creating prompts for AI language models
- Sandra provides tips on creating prompts for AI language models like chat GPT.
- Providing parameters like audience, length, and tone can lead to a better result when using AI language models.
- Prompts can be created in many different ways, from complex coding to simple paragraphs.
Keywords:
BARD, MidJourney, WriteSonic, team collaboration, Apple, new product release, AR/VR headset, stock market, AI technology, ChatGPT, GPT prompts, simple business solutions, job loss concerns, regulation of AI, DID software, custom avatars, business design, brand management, social media content, market research, productivity, efficiency, technology regulations, computing power, sustainability concerns, parameters for prompts, AI language models, coding, specific context.
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With AI making the market more saturated, building a strong brand has never been more important. Guillermo Thompson, Founder and Director of Ombu Ombu, joins us to discuss how AI can help you build a brand that truly stands out from the crowd. Whether you're a startup or an established business, there's definitely a benefit to using AI for your brand.
Time Stamps:
[00:01:03] Apple enters AI world with pricey headset
[00:06:17] Actors no longer needed, just faces
[00:10:43] Is personal branding and AI ethical?
[00:13:39] AI experimentation with your brand is encouraged, but value is key
[00:16:58] Using AI to enhance personal/ company brand
For full show notes, head to YourEverydayAI.com
Topics Covered in This Episode:
1. Dilemma of Actors Losing Their Uniqueness to Technology
- Actors feeling disconnected from their craft due to the rise of visual effects and face replacement technology
- Valuation of recognizable faces over actual acting skills
- The complicated issue of privilege and compensation
2. AI in Personal Branding and Business
- Experimenting with AI for its benefits and potential for immediacy
- Encouraging younger generations to use AI in building a personal brand or business
- Importance of providing value to others and having a noble mission
- AI should be used as a consultant and not solely relied upon
3. Social Media and Authenticity
- Against AI-generated avatars
- Importance of getting to know the real individuals behind companies
- Potential for creating depression and loneliness through creating an image that isn't true on social media
4. Actors, Digital Doubles and AI
- Actors want to own their image and get paid as much as they did before
- Digital doubles for actors with specific body types or faces
- The Hollywood union discussing pay and control over actors' images due to AI in contract negotiations with studios
5. Apple's Upcoming Announcement of Mixed Reality Headset
- Apple not as active in AI space as other tech giants
- The potential impact of the mixed reality headset on the AI world
6. YourEverydayAI.com
- Promotion of website that features a live stream, podcasts, and a daily newsletter
- Encouragement for listeners to subscribe, leave a rating, and stay up to date on AI news
7. Brand Building with AI
- AI can be used to assist in brand building, such as ideation sessions and improving brand strategy and identity
- Suggestions on how someone who hasn't utilized AI in branding can get started
Keywords:
actors, visual effects, face replacement technology, uniqueness, privilege, compensation, Love Dead and Roberts, Netflix, AI, laziness, software testing, ChatGPT, prompts, consultant, personal brand, AI-generated avatars, social media, human safety, Hollywood union, gray area, Apple, mixed reality headset, consumer impact, youreverydayai.com, live stream, podcasts, ratings, newsletter, personal brand, unlimited resources, brand strategy, identity, branding.
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Who says ChatGPT is just for "writing tasks?" Why not have it help you build your business? Steven Schneider, a Strategy and LinkedIn Specialist, joins us as we share practical advice on how businesses and individuals can use ChatGPT on things like improving their copy and building engagement with their audience. They also discuss how AI can be used to automate mundane and routine tasks.
Time Stamps:
[00:00:56] US Air Force using AI drones
[00:02:27] Google's AI search disrupts publishing industry
[00:05:48] AI changes require adaptability and experimentation
[00:07:06] Steven's background and how he uses ChatGPT
[00:09:22] Engagement key for social media success
[00:11:26] ChatGPT streamlines the editing process and improves output
[00:14:28] Experiment with ChatGPT prompts to find what works
[00:19:54] AI usage requires commitment and practice
For full show notes, head to YourEverydayAI.com
Topics Covered in This Episode:
- The removal of the ability to quickly read and summarize blog articles from the internet is discussed, shifting the focus to how people need to be open to change when it comes to AI.
- Viewing AI changes in simplistic "good versus bad" terms is not advisable because many changes are experimental and may eventually work themselves out.
- Steven's background is in content marketing and affiliate blogging, with a current focus on building a B2B agency on LinkedIn.
- Boston Dynamics robots and Google's changing search experience are noteworthy topics.
- The capabilities of AI in generating high-quality content are often underestimated, with guest Steven acknowledging that bots are smarter than him, regardless of his experience in content creation.
- The Unfluffer tool is used for adjusting tone and professionalism of copy, and AI tools can be matched to various pain points or bottlenecks in content strategy.
- Engagement and community building are crucial to social media success, with companies needing to prioritize engaging their audience over pushing content.
- The tool mentioned by Stephen on Fluffer will be included in the newsletter, and the hosts will recap everything discussed.
- The important points discussed in the episode include engagement goals, use cases for ChatGPT, and the importance of embracing technological change.
- Mundane routine tasks like creating PDFs and SOPs can easily be automated with AI, allowing for quick gathering of resources and building a library of assets for future use.
- Adding your own personality to the AI-generated content and rebranding it to fit your goals.
Keywords:
blog summarization, AI, SEO, experimental changes, good versus bad, content marketing, affiliate blogging, content marketing company, affiliate marketing, LinkedIn, B2B agency, company pages, content creators, tools, resources, workshops, Boston Dynamics, robots, Google, search experience, publishers, GPT technology, ChatGPT, editing, Unfluffer, pain points, bottlenecks, prompts, artist, canvas, engagement, social media, audience, Fluffer, copy editing, technological change, practice, experimentation, automation, resources, personality, rebranding.
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Will AI end up being more creative than humans? With new advancements like Dall-E and Midjourney, AI is setting a new standard for media creativity. Travis Hawkes, Director and Co-founder of Lunar Speedboat Productions, joins us to discuss how to use AI tools for your creative advantage and finding ways to stay unique in a world of robots.
Time Stamps:
[00:00:52] AI21 Labs Study Shows One-Third Can't Identify Bots from Humans
[00:04:32] Google invests heavily in AI company Runway
[00:06:43] Creating Imagery with Midjourney and Dall-E
[00:12:11] Unleashing Your Creative Potential: The Power of Runway
[00:16:53] Can AI create chatbot movies with celebrities?
[00:20:22] Finding Your Creative Focus and Joining the Conversation
[00:23:35] The Future of AI-Generated Content: Blessing or Curse?
For full show notes, head to YourEverydayAI.com
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Join us as we chat with Tom Winter, Founder of SEOwind, about AI and how it's changing content creation and SEO. Tom shows us how to combine AI smarts with human touch to create cool content quickly. So, pop on in for a fun chat about the future of AI and content creation, some AI ethics, and loads more in the ever-changing world of tech!
Time Stamps:
[00:00:57] Microsoft Improves Bing Chat for Broader Use
[00:05:25] SEOwind's Tool for Automated Article Writing
[00:07:49] Humans and AI Working together for SEO Rank
[00:13:20] How to Write Articles with Chatbot AI
[00:17:02] Save Time Writing Quality Content with AI
[00:19:12] Can AI Platforms Match Human Content Creation?
[00:22:05] Last Chance to Win ChatGPT Giveaway
For full show notes, head to YourEverydayAI.com
Topics Covered in Today's Episode:
- Development of an AI tool for automating the SEO research process for writing briefs for humans.
- Realizing AI can write articles that make sense with proper knowledge and search intent.
- Discussion on the potential quality of AI-produced articles as compared to those written by humans.
- Importance of providing the right input, prompting, and polishing for effective use of new technology.
- Summary of Jordan's live show on content creation and SEO.
- Brief overview of Bing Chat's improvement and integration into more browsers.
- Efficiency of using AI to write articles and the additional work required such as fact-checking and adding visuals.
- Importance of putting quality content into AI to produce excellent articles.
- Increase in the amount of produced content, and the need for content to be helpful and address search intent to be effective.
- AI-assisted writing saves time and enables the ability to improve article quality.
- ChatGPT's sixth-month anniversary, ethical concerns, and privacy issues being associated with the platform.
- Importance of research when creating articles, and the similarity between manual and AI research processes.
- Effects of AI-assisted research on plagiarism are unclear.
- Offering a free PDF on how to write articles using ChatGPT.
- Discussion on the potential to automate the article writing process through AI.
- Challenges of creating 100 posts in 30 days using various AI methods for article writing.
- Nailing search intent and Google's preference for content that is 80% about a specific topic.
- Explanation of company method using Gut mode and briefs for humans with the aid of AI.
- The importance of human editors in reviewing content to perfect it.
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On this episode of Everyday AI, Jordan is joined by Piotr, a computer science master with a concentration in AI, to discuss the impact of AI on the world. They explore various topics, including the use of language models like ChatGPT to assist in coding, the role of hard rules in avoiding biases in AI, and the future of AI integration into various operating systems.
Time Stamps:
[00:00:50] AI Leaders Warn of Extinction Risk
[00:04:03] Deepfakes at an All-Time High
[00:05:47] Amex Turns to AI for Customer Service
[00:06:45] Chatbots in Customer Service: Finding Limits
[00:07:51] Piotr's Role as a Programmer Analyst
[00:10:03] Large Language Models Revolutionizing Code Efficiency
[00:15:20] The Fascinating Growth of Large Language Models
[00:17:14] ChatGPT Speeds Up Coding Troubleshooting Process
[00:21:22] Managing AI Bias: Tackling the Black Box
[00:24:27] Is AI Making Us Smarter or Dumber?
Topics Covered in This Episode:
The efficiency of using language models like ChatGPT in coding:
- ChatGPT's ability to help with solving problems in different ways
- The potential for technology like ChatGPT to save hours of struggling through logic
- The desire to use proprietary code safely while taking advantage of new technologies
- ChatGPT's effectiveness in writing essays on any topic in seconds
Neural networks, biases, and AI:
- Explanation of neural networks and coding AI
- Construction of set hard rules and questions to avoid biases in AI
- The impact of data feeding on the AI
- The view that robots taking over is not possible unless allowed
Piotr's experience with natural language processing and chatbots for troubleshooting:
- Piotr's experience with a natural language processing course
- The creation of ChatGPT and its usefulness in coding
- The effectiveness of AI bots as customer support for general issues like credit card problems
- The need for human support in technical issues like coding
The impact of AI on intelligence:
- The comparison of the impact of AI on intelligence to that of the internet
- The concern that people may rely on AI to obtain answers, rather than learning and understanding information
- The agreement that learning and understanding the information is necessary before relying on technology to solve problems
Concern on the inclusivity and bias in AI systems:
- The concern on ensuring AI systems remain unbiased and inclusive
- The difficulty in ensuring AI systems do not reflect human biases
Integration of AI into operating systems:
- The potential for AI integration into operating systems beyond individual applications
- Microsoft's unveiling of Copilot system
Use of proprietary code in financial institutions and the impact of deep fakes:
- The use of proprietary code in financial institutions
- The potential impact of deep fakes, even poorly made ones
American Express using generative AI in customer service:
- The unusual decision of Amex to use generative AI in customer service
- The discussion of Piotr's background in fintech and his thoughts on Amex's decision
Keywords:
Bard, ChatGPT, language models, coding, perspective, efficiency, proprietary code, technology, Neural Networks, AI, biases, hard rules, data, intentions, natural language processing, robots, chatbots, troubleshooting, customer support, intelligence, Internet, learning, understanding, e
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On this episode of Everyday AI, we dive into the world of aviation and entrepreneurship with Emma Lo, as she talks about her team's creation of FlytoPlaces - a platform for pilots and non-pilots to share destination itineraries. Emma discusses the challenges her team faced in finding and sharing scattered information, as well as the need for AI tools such as ChatGPT and Mid Journey to create content and images for the platform. Jordan and Emma also discuss the benefits and challenges of collaborating with AI, particularly ChatGPT and Google Bard for coding and development. Additionally, we explore the latest news and updates in the AI space, including a lawyer's use of Chat GPT to file charges and the evolution of video games with Nvidia's new demo. Tune in to learn more about the power of AI in entrepreneurship and beyond.
Emma Lo is a co-founder of FlytoPlaces, an app designed for private pilots to discover and plan extraordinary trips. The app offers unique tools for owner pilots, pirate pilots, renter pilots, and student pilots. Emma saw an untapped niche market and created an app that fills a void for private pilots who are seeking more guidance once they reach their destination. FlytoPlaces is like TripAdvisors but for pilots. Emma's passion for aviation and her entrepreneurial spirit has led her to co-found a successful app that serves a growing community of pilots.
[00:00:30] "Exciting News in AI and Tech Regulation"
[00:03:36] "New app FlytoPlaces revolutionizes travel"
[00:06:11] "FlytoPlaces: A Tribal Knowledge Solution"
[00:12:16] "AI Travel Planning: Garbage In, Garbage Out?"
[00:14:02] "Exploring the Potential of Chat GPT Technology"
[00:16:43] "Future app to use AI for trip planning"
[00:20:36] "Embracing AI Collaboration: The Future of Entrepreneurship"
[00:23:19] "Expressing Gratitude: A Simple Thank You"
Topics Covered in the Episode:
1. The Creation of FlytoPlaces
- Difficulties in Finding Information
- Sharing Compiled Information
- The Creation of FlytoPlaces
- Current Status & Functionality
2. Collaboration with AI
- Mid Journey & Chatty TP Openi
- Chat GPT for coding and development
- Importance of Giving Specific Prompts
- Challenges in Ensuring Accuracy
3. News and AI Updates
- Lawyer using Chat GPT for filing charges
- Faster regulation of AI
- Nvidia's Valuation & Demo Launch
4. The Use Case of AI
- Chat GPT and Mid Journey as Team Members
- Launch Process without AI
5. Introduction of FlytoPlaces
- App Description & Target Audience
*Note: Some information in the original prompt has been omitted or condensed for clarity and conciseness.
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Win a free year of ChatGPT or other prizes! Find out out.
On this episode of Everyday AI, Jordan takes us through the latest updates on OpenAI and ChatGPT. He dives into his experience using the Chat GPT app and provides tips and tactics on how to use ChatGPT effectively, including recommending plugins to enable third-party services to work for specific needs.
Time Stamps:
[00:01:23] Google Launches New AI-Powered Search Engine
[00:04:03] Europeans Discussing EU AI Act for ChatGPT
[00:06:42] James Cameron Confirms New Terminator Script Around AI
[00:09:51] AI Chat Frustration Turns to Relief: ChatGPT
[00:14:37] Mastering the Art of ChatGPT Priming
[00:18:17] Improving Prompting Skills for Better ChatGPT Results
[00:21:23] Maximize Efficiency with GPT Research Plugins
For full show notes, head to YourEverydayAI.com
Topics Covered in This Episode:
- Introduction and overview of Chat GPT app and knowledge base limitations
- Breaking news about James Cameron working on a new Terminator film
- Discussion of updates on OpenAI and chat GPT, including interest from Europe and EU regulations on AI
- Chat GPT as a copilot for writing, the use of plugins, and managing research and browsing
- Offer of free content and newsletter to stay informed about AI and its impact
- Changing of topic to discuss how to use Chat GPT
- Discussion of AI in films and the challenge of keeping up with AI news
- Google's new experimental search engine, Search Generative Experience (SGE), and instructions for signing up
Keywords:
OpenAI, GPT, accuracy, error messages, Chat GPT app, browser, functionality, experience, breaking news, James Cameron, Terminator film, updates, Europe, LinkedIn, tips, tactics, regulations, privacy concerns, EU AI Act, App Store, hybrid papers, copilot, mastery, plugins, third party services, OpenTable, Kayak, browsing, research, labeling, free, podcast platforms, live stream, newsletter, hiring, film, AI, technology, Terminator franchise, science fiction, Google, Search Generative Experience, waitlist, instructions, Everydayai.com.
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In this episode, we'll dive into how large enterprises are adopting AI and what it means for the C-suite. From creating new technologies to disrupting traditional industries.
George Alifragis, Executive Board Member for Cyber Security Global Alliance, joins us as we uncover the secrets to leveraging AI to revolutionize business operations and achieve unprecedented success. So tune in and discover how AI is redefining the way we work and the endless possibilities it holds for companies looking to stay ahead of the game!
Time Stamps:
[00:02:30] Anthropic Raises $450M to Compete with OpenAI
[00:03:31] The Future of ChatGPT and Language Models
[00:06:38] Infosys Launches Topaz - Generative AI to Increase Business Value
[00:11:37] What George Does as an Executive Board Member
[00:14:26] Navigating Innovation and Disruption Amid Advancements
[00:17:21] AI Needs to be Reshaped Around Human Augmentation
[00:21:02] Accelerating Human Achievement: The Two-by-Two Model
For full show notes, head to YourEverydayAI.com
Topics Covered in Today's Episode:
- Jordan and George discuss the rise of AI technologies and how they are being offered to larger enterprise companies.
- George mentions his experience with Infosys and their recent AI product, Topaz, which includes deep learning models, machine learning, and generative AI.
- George believes that many companies will focus on proofs of concepts as the early stages of AI implementation begin.
- The conversation shifts to Anthropic, a company trying to disrupt OpenAI and chat GPT, and their recently developed large language model called Anthropic Cloud.
- The two discuss how AI technology is rapidly changing and how teams need to be constantly adapting to stay ahead of the curve.
- George suggests companies focus on accelerating human achievement and augmenting human team members rather than overhyped AI.
- Jordan asks for advice on how small businesses can leverage AI in a positive way and George suggests creating a cultural lens that brings people together while embracing AI technologies.
- The podcast ends with George discussing his experience as a former CEO and how he focuses on driving the whole business forward and ensuring there is governance in place to make the right decisions.
Keywords:
AI, digital transformation services, Infosys, topaz, deep learning models, machine learning, generative AI, enterprise companies, proofs of concepts, differentiation, Anthropic, OpenAI, GPT, large language model, George, high tech, Stry, Orion Innovation, Copilot, innovation, mind share, competition, human achievement, employee experience, customer experience, responsible technology, upskilling, cultural lens, go-to-market teams, sales, marketing, partnerships, customer success, cybersecurity, global alliance, strategic priorities, roadmaps, governance.
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With the convergence of healthcare and machine intelligence, the future of medicine is looking more promising than ever before.
Ryan Martin, Doctor of Physical Therapy at MSK Ultrasound, joins us as we explore the latest advancements in AI and its integration into medical education. From reducing physician burnout to enhancing patient care, we'll dive deep into the world of AI and how it's shaping the healthcare industry. Don't miss this exciting opportunity to learn about the cutting-edge technologies transforming medical education as we know it!
Time Stamps:
[00:00:54] AI Power Ads and Copilot: Latest AI News
[00:04:30] Stopping AI Altogether: A Difficult Feat?
[00:06:36] Ryan's Role in the Medical Industry
[00:07:46] Medical field not utilizing generative language tools
[00:12:40] AI and Adaptive Learning: Transforming Healthcare and Education
[00:17:54] Transparency in AI: Building Trust with Patients
[00:21:56] Revolutionizing Medical Education: Changes in Responsibilities
[00:24:20] The Cautions of New Medical Technology
For full show notes. head to YourEverydayAI.com
Topics Covered in This Podcast Episode:
Topic: Integration of AI in healthcare and education systems
- AI tools are expected to reduce burnout in healthcare
- Adaptive learning tailors AI to specific student needs
- AR/VR can be used with AI for immersive learning experiences
- Distance learning with AI assistance can be useful for collaborative learning
Topic: EMR systems in healthcare
- Big EMR systems face bureaucratic regulations and government policies
- Specific EMRs are using generative language/algorithm models to simplify patient documentation
- Smaller EMRs, such as Ezpt, are already using AI
Topic: Speaker's experiences and expertise
- Speaker is a physical therapist and ultrasound specialist
- Uses various tools for day-to-day tasks, open to implementing AI in the future
- Education setting offers more potential for AI integration
Topic: AI governance and regulation
- Stopping AI altogether may be difficult
- The impact on clinician-patient interaction comes down to transparency and communication
- Educating healthcare clinicians on AI can help build trust with patients
Topic: Latest news in AI
- Google has launched AI Power Ads and images in Bard
- Chat GPT now allows browsing inside with Microsoft Bing
- Microsoft's Copilot AI will bring smart AI to the Windows operating system.
Keywords:
AI, healthcare, education systems, burnout, adaptive learning, student needs, AR, VR, immersive learning, distance learning, collaborative learning, EMR systems, patient data, bureaucratic regulations, generative language, algorithm models, Ezpt, medical field, technology integration, physical therapy, ultrasound specialist, MSK ultrasound, WHO, Chat GPT, governance, regulation, full automation, clinician-patient interaction, communication, trust, treatment plans, AI Power Ads, Microsoft Copilot, Windows operating system.
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Tired of the same old 9-5 grind? Looking to turn your passion into a profitable side hustle? Artificial Intelligence isn't just for tech giants anymore.
Jannis Paulk join us as we explore the world of AI-powered side hustles. From creating social media posts that will attract thousands of followers within seconds to generating high-quality images even a professional graphic designer would envy - we're diving into the world of possibilities AI has to offer. So sit back, relax, and let's get started on your AI-powered side hustle journey!
Time Stamps:
[00:01:00] Bill Gates predicts AI could replace search
[00:02:50] Fake AI Image Poses Threat To US Market
[00:06:30] Adobe is Adding Image Generation to Photoshop
[00:09:15] AI Allows Passionate Learners to Jump Ahead
[00:12:14] Making AI Accessible: Tips for Side Hustlers
[00:14:24] Transforming Your Passion Into a Side Hustle with AI
[00:19:14] AI Technology Creates 30 Social Media Posts
[00:21:56] Win a Chat GPT Plus Subscription Now!
Topics covered in the podcast episode:
- Creating social media posts using AI-generated captions and hashtags
- Prompt engineering used to generate appropriate captions and hashtags
- AI-generated captions delivered in 30 seconds
- Speaker tweaked the captions before handing them over
- Entire process took less than two minutes
- Concerns about the ability of deep fakes to disrupt voting and elections
- Deep fakes getting better and harder to distinguish from reality
- Even experts can be fooled
- Potential for chaos if an AI-generated fake goes viral
- Finding a mentor to start a successful side hustle using AI
- Seek guidance from someone experienced in the field
- Mentors can be found on platforms like LinkedIn
- Research the tools and methods used by successful people in the industry
- AI models and their potential impact on the industry
- Not all AI models are good
- Digital photography and chat GPT examples of AI's impact on the industry
- Chat GPT allows anyone to write long paragraphs or essays almost instantly
- Updates on the speaker's work and projects
- Moving from in-person to virtual training in workplace safety
- Considering bringing in a side hustler to manage social media
- AI's impact on graphic design
- Similar to the impact of digital photography on film photography
- Designers must decide whether to incorporate AI into their work or reject it
- Integration of AI image generator Firefly into Photoshop by Adobe
- Potential impact on the industry with this integration.
Keywords:
AI, Aiprm, social media, captions, hashtags, personal safety, women in the workplace, prompt engineering, imagery, deep fakes, voting, elections, mentor, side hustle, LinkedIn, tools, methods, AI models, digital photography, GPT, passion, virtual training, graphic design, industry, digital transformation, skills, copywriting, business planning, Firefly, Photoshop, Dolly, Mid Journey, image generator, speculation.
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Let's Chat about ChatGPT updates -- An Everyday AI conversation. Jordan Wilson takes you through the latest ChatGPT updates, including the iOS app, plugins, and browsing ability.
Make sure to tune in for the latest AI news and trends. The Everyday AI show helps make your job easier, get your work done faster, and grow your career.
Time Stamps:
1:10 - ChatGPT in New York City Schools
3:01 - Meta’s New AI Chip
6:10 - Apple Has Restricted Employees’ Use of ChatGPT
8:26 - Apple is Releasing Voice Cloning
12:42 - ChatGPT IOS App Just Launched
14:17 - New Beta Features with ChatGPT Premium (Web Browsing and Plugins)
20:00 - Why The New ChatGPT iOS App Isn’t That Great…Yet
For full show notes
Topics Covered:
- Chat GPT's Concerns and Usage
- Chat GPT's Lifted Ban by New York City Public Schools
- Meta's Custom Hardware Chip for Accelerating AI Algorithms
- Apple's Upcoming Voice Cloning Technology
Bullet Points:
- Chat GPT is the number one iPhone app, but its use and data leaks are concerning.
- New York City public schools have lifted its ban on Chat GPT and are encouraging its use, while Apple has restricted its use among employees.
- Meta, parent company of Facebook, is creating a custom chip to accelerate AI algorithms, which is crucial for generative AI technologies.
- Apple is releasing voice cloning technology that has positive uses for those who lose their ability to speak, but raises privacy concerns.
Keywords:
Everyday AI, practical advice, boost careers, boost businesses, easy to understand, AI, Alyssa Daily, Chat GPT, data leaks, concerns, New York City, public schools, ban lifted, encouraging use, Apple, employees, restricted, Meta, Facebook, custom hardware chip, accelerate, AI algorithms, generative AI technologies, voice cloning technology, positive uses, privacy concerns, episode ended, audience, everydayai.com, daily newsletter, subscribers, breaking barriers.
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From fighting cancer to optimizing logistics and supply chains, AI is the driving force behind some of the biggest breakthroughs of our time. But what does the future hold for the warehouse industry, and will it ultimately serve to complement or replace human labor?
Jim Shaw joins us as we explore the latest developments in AI and robotics, dig deep into the challenges and opportunities facing labor in the workplace, and discuss how AI is revolutionizing labor.
Time Stamps:
[00:01:38] Tech Giants' Strategies: Open vs Closed Source
[00:02:52] Harnessing AI's Power for Human Advancement
[00:04:39] Surprising Revelation: Company Fully Integrates AI Technology
[00:06:59] Robotics and Humanoids: The Future of Warehouses
[00:10:36] The Rise of General Purpose Robots in Warehousing
[00:14:04] Robotics to Supplement Labor: Exploring the Benefits
[00:16:15] AI's Role in Marketing and Business Development
Topics covered in This Podcast Episode:
- The potential benefits of AI for fighting diseases
- Personal story shared about a grandmother's cancer experience
- Acknowledgment of ongoing challenges and questions
- Use of AI in logistics and supply chain by Amazon
- Development of humanoid robots for dangerous and dirty tasks
- Uncertainty about job outlook in the industry
- Belief that robotics and automation will supplement, not replace humans
- Shortage of jobs and potential industries for robotics
- Creativity necessary for putting together robotic components
- Optimism about AI's potential to help
- Meta going fully open source with some AI technology
- Impact of pandemic on material handling industry
- Development of general purpose robots for warehouses
- Examples of robots presented at trade shows
- Visions for future robotic involvement in warehouses
- AI's potential use in medical, education, and public relations
- Trend of more AI and fewer humans in news media
- Presentation of Phoenix robot by Sanctuary AI
- Multiple potential areas for AI's utility
- Cautious exploration and research of AI in industry.
Keywords:
AI, cancer, personal story, human life, disease, business motivations, Amazon, logistics, supply chain, humanoid robots, jobs, industry, hospitality, healthcare, senior services, warehouses, creativity, optimism, marketing, open source, pandemic, material handling industry, robotics as a service, ProMat, trade show, infrastructure, medical, education, PR, news media, Phoenix robot, data analysis, simulations.
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Today, we dive into the world of branding, where AI and technology are revolutionizing the way companies approach their identity and strategy. From content creation to audience targeting, AI is changing the game. But what does this mean for your brand, and is AI the answer to all your branding needs?
Join us as we discuss with Beatrice Gutknecht, the future of branding and AI, and the impact it could have on your business. Get ready to discover how AI is reshaping the branding world, and how you can leverage this technology to build a brand that stands out from the crowd.
Time Stamps:
[00:01:37] OpenAI CEO Discusses AI Regulation Concerns
[00:03:20] CNET staff consider unionizing due to AI
[00:05:32] AI Simplifies Branding: The Future of Marketing?
[00:10:45] Exploring Limits of AI Usage in Branding
[00:12:26] AI Image Generation and Brand Reliance
[00:14:39] Future of Branding: AI Watermarks and Beyond
[00:18:36] Building Human Relationships in the Age of AI
[00:20:24] Building Your Brand: Starting Internally with AI
[00:22:19] Win a Year of Premium Chat GPT!
For full show notes, head to YourEverydayAI.com
Key Topics:
- The importance of personalization in business branding
- Social responsibility and honesty as top factors in business evaluation
- Trend of successful individuals sharing personal journeys
- The rise of personal recommendations in the age of technology
- Need to fact-check content generated by AI models like GPT
- Importance of cross-checking information from factual sources
- AI's reputation for stealing parts of graphics
- Using human language to make bigger companies like Salesforce more relatable
- Building a brand strategy that focuses on human interactions and evolution, starting with the team
- Consideration of AI usage to build brand while focusing on human connections and authenticity
- Limitations of AI in emotions and human connection
- Disadvantages of over-reliance on AI in media industry
- Unionizing movements of media companies due to AI usage
- The potential of AI to assist in brand development, along with risks of losing one's own voice
- Google's initiative to watermark AI-generated images
- The importance of internal branding and how it should be reflected externally
- Example of Salesforce's "Ohana" culture as a strong internal branding strategy
- Updates on OpenAI industry and potential risks of AI
- Impact of excessive technology usage on memory and social skills
- Negative effects of remote work and social media on people's social lives and anxiety levels.
Keywords:
Personalization, branding, CSR, social honesty, LinkedIn, personal journeys, personal recommendations, technology, chat GPT, fact-checking, AI, graphics, human language, Salesforce, brand strategy, human interactions, authenticity, emotions, CNET, unionizing, media companies, content creation, curation, audience targeting, losing your voice, Google, watermarking, live video talk, internal branding, values, mission, vision, podcast, OpenAI, risks, regulation, GPT Five, comments, Derek, negative impact, excessive usage, memory, social skills, COVID-19.
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The new AI wave got you scratching your head? With Everyday AI, you don't need to be confused anymore. Join Jordan Wilson as we dive into an AI chatbot 101, covering the basic functionality of the big 3: ChatGPT, Google Bard and Bing Chat.
Time Stamps:
[00:03:03] Former Google CEO Eric Schmidt on AI regulation
[00:04:23] Senators' lack of tech understanding exposed
[00:05:28] OpenAI to Release Open Source AI Model
[00:09:00] Getting Answers From Chatbots
[00:10:13] How Chatbots Work
[00:12:54] Breakdown of ChatGPT and GPT4
[00:15:50] Why Bing Chat May Have Competitive Advantages
[00:18:56] Pros and Cons of Bing: Coding & Accuracy
[00:20:10] Google Bard Breakdown
[00:23:00] Google's Bard: Exceptionally Fast But Changing
[00:26:36] Google Bard European Release Uncertain Amid Regulations
[00:27:32] Accessing Google Bard in Europe: VPN Solution
For full show notes, head to YourEverydayAI.com
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Using AI as a first line of Cyber Defense -- an Everyday AI conversation between John Young and Jordan Wilson.
Make sure to tune in for the latest AI news and trends. The Everyday AI show helps make your job easier, get your work done faster, and grow your career.
Time Stamps:
[00:02:07] Irish News Outlet Accidentally Runs Fake AI Article
[00:05:29] Goldman Sachs Launches “LinkedIn On Steroids"
[00:08:22] The Future of Jobs: Adapting to Technology
[00:13:30] The Potential Dangers of Advancing AI Technology
[00:19:30] Preparing for the AI of Things Future
For full show notes, head to YourEveryDayAI.com
Learn how work is changing on WorkLab, available wherever you get your podcasts.
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Infusing some AI into the HVAC space: An Everyday AI conversation with Rob West.
Make sure to tune in for the latest AI news and trends. The Everyday AI show helps make your job easier, get your work done faster, and grow your career.
Time Stamps:
[00:00:55] Generative AI for Personalized Ads
[00:03:15] Organizing Your Work with AI
[00:03:45] Musicians are Using AI More Than We Think
[00:05:08] At Home AI Market Will Grow to $500 Billion
[00:07:45] Armstrong Fluid Technology - Innovative tech in an old-school industry
[00:9:50] How To Infuse AI into the HVAC Industry
[00:13:19] The Future of AI and Energy Efficiency in Homes
[00:16:10] Using AI to Boost Slow Moving Industries
For full show notes, head to YourEverydayAI.com
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How to use AI + Data to understand behavior: an Everyday AI conversation with Karrie Sullivan.
Make sure to tune in for the latest AI news and trends. The Everyday AI show helps make your job easier, get your work done faster, and grow your career.
Time Stamps:
[00:01:00] Google's New Magic Eraser
[00:02:06] Google Bard New Updates and Integrations
[00:03:50] AI watermarking: necessary caution or potential danger?
[00:05:15] AI-Generated Emails: The Future of Communication?
[00:07:09] How Culminate Uses AI as an Assessment Tool
[00:10:10] Transform Your Business Success Rate by 6x
[00:12:25] AI Enables Quick Business Growth for Startups
[00:15:10] Encouraging Collaboration and Innovation in the Workplace
[00:16:48] Workplace Angst: Pandemic's Lasting Impact on Employees
For full show notes, head to YourEverydayAI.com
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How to push personal creativity with AI: an Everyday AI conversation with Rachel Moreau.
Make sure to tune in for the latest AI news and trends. The Everyday AI show helps make your job easier, get your work done faster, and grow your career.
Time Stamps:
[00:00:55] OpenAI implements copyright system with new GPT model
[00:02:06] Google's Integration: What's Next for Search?
[00:03:15] OpenAI's New Shape Rendering Model
[00:04:05] AI Image Generation Sparks Creativity in Writing
[00:06:22] Transforming Sketches with AI
[00:09:00] Creating Photorealistic Character Art: The Process Unveiled
[00:12:28] Digital Art: A Stepping Stone to Elevate Creativity
[00:14:07] Embracing AI in Art with an Open Mind
For full show notes, head to YourEverydayAI.com
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Aimann Rasheed joins Everyday AI to discuss what's next in the digital transformation space.
What role will AI play?
Time Stamps:
[00:00:50] IBM's Watson X: From Jeopardy to Enterprise and Beyond
[00:04:00] The Debate on the Widespread Use of AI
[00:05:20] AI Ordering Systems: The Future of Fast Food?
[00:07:44] Google's Caution with AI
[00:09:30] Middle-sized Businesses Prioritizing AI for Efficiency
[00:12:02] Unleashing Innovative AI Solutions: The Key Challenges
[00:14:07] The Future of AI Training: Using APIs
[00:16:00] The Future of White-Collar Jobs with AI
For full show notes, head to YourEverydayAI.com
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Is AI helping or hurting mergers and acquisitions? Join Jordan and Seth as they discuss the role of AI in M&A, as well as the top stories of the day!
The Everyday AI podcast is a daily livestream and podcast (and daily newsletter!) diving into the latest artificial intelligence tips and trends for everyday people.
Time Stamps:
[00:01:14] Apple's Slow Approach to AI: Problematic or Strategic?
[00:02:17] Microsoft Investing in AMD
[00:04:52] What is Loam Exits?
[00:06:50] Warren Buffet Says AI Will Change The World
[00:09:04] AI Tools Provide Great Insights for Business Owners
[00:12:19] How To Become an AI Expert
[00:14:10] Seth's AI Hot Take
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Is Hollywood Scared of AI?
Brandon and Jordan discuss the latest AI news that's shaking up Hollywood and more.
Join us every weekday at 7:30 AM live to for Everyday AI, the daily show, podcast and newsletter helping everyday people learn and leverage the latest in AI.
Time Stamps:
[00:00:45] The DeepMind CEO says that artificial general intelligence is still years away
[00:02:34] 54% of voters want swift AI regulation in the US.
[00:03:58] Discussion of AI censorship and the announcement of Slack GPT
[00:05:12] The potential impact of AI in Hollywood. AI in film and TV scripts has caused concern for human writers and other professionals in Hollywood.
[00:08:43] Discussion about Marvel director Joe Russo's prediction of AI-generated movies in two years.
[00:11:00] Runway, a company leading in text to video technology, which allows users to input text commands and get video.
[00:15:30] AI studios are creating impressive work and have a higher potential of replacing jobs.
For full show notes, head to YourEverydayAI.com
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Microsoft Bing Chat released some major updates. Can it compete with ChatGPT now?
That's one of the things we'll be talking about today on Everyday AI, the daily show, podcast and newsletter covering the latest news and trends in AI to help everyday people learn and leverage AI.
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AI is reading our thoughts now? That and more with Derek Sobieraj
Welcome to Everyday AI, the daily livestream, podcast and newsletter discussing the latest in AI news and how everyday people can put it to use.
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Aaron Barreiro joins the Everyday AI show, a daily live stream and podcast that helps everyday people understand and leverage the power of AI!
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Welcome to Everyday AI, the daily AI livestream and podcast giving you the latest updates in everything AI. Today we talk about NeRFs, schools adapting GPT in the classroom, and more than 170 mentions of AI in earnings calls.
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Can't keep up with the fast movement of AI news and trends? We've got you! For April 28th, Rasha Shaker joins the Everyday AI show to dive into what's happening in the industry, and how she is using AI in her everyday life.
Today, we talk about the Republican National Committee using deepfakes, the China and US race in AI chat, and a new Forbes study on the impact of AI on the job market and specifically India's GDP.
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Welcome to Everyday AI, the daily live show and podcast diving into the latest AI tips and trends for everyday people.
Today, we talk about Elon Musk's effort to slow down AI, what Replit is and why you should care, and if Apple is going to put some fitness coaches out of business!
Visit youreverdayai.com to subscribe to our daily newsletter and enter to win a year of Premium ChatGPT for free!
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Bill Gates hints AI could replace teachers -- what do you think? Join us for that and more on today's edition of Everyday AI, the daily AI live show that breaks down AI news and strategies for everyday people
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This is the Everyday AI show! The every day podcast where we simplify AI and bring its power to your fingertips! Listen daily for practical advice to boost your career, business and everyday life!
Welcome to Episode 1, where we discuss the big question: Will AI take your job?
En liten tjänst av I'm With Friends. Finns även på engelska.