Everyday AI Podcast – An AI and ChatGPT Podcast

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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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In a pretty telling move, Google is pushing a business version of NotebookLM out to the wild. And now the viral 'Deep Dive' Audio Overviews in NotebookLM are customizable. Is this going to change how your company does knowledge work? We go over the breaking updates from NotebookLM and tell you how you should be taking advantage.

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Topics Covered in This Episode:
1. Google's NotebookLM Features
2. Existing AI Platforms vs NotebookLM
3. Demo of NotebookLM
4. NotebookLM Audio Overview
5. Future of NotebookLM

Timestamps:
01:50 Daily AI News
04:50 What's new in NotebookLM
09:49 Various media can be uploaded; AI is unavoidable.
12:47 AI podcast hosts create overviews from documents.
15:33 Google AI controls podcast host content creation.
20:20 Notebook LM showcased AI's power more than ChatGPT.
24:07 ChatGPT's meteoric rise overshadows competitors' strategies.
24:56 Notebook LM excels at data-centric language models.
30:11 Grounded AI model excels with custom data.
33:17 Name your sources; information on project manager.
35:35 Default podcast might have mixed, unclear content.
38:44 AI-generated transcript included inaccuracies about AVM.
42:52 New feature: structured deep dive audio outline.
46:34 Podcasts are increasing; expect more spam content.
47:41 Completed second podcast; intro/project managers/cribbage.
51:57 AI enables personalized learning with customizable data.
53:50 Listen, take notes, create, chat, and learn.

Keywords:
Google's Notebook LM, AI models, Google Gemini, ChatGPT, Claude, accuracy, user data management, privacy, free AI tools, user retention, company data integration, Jordan Wilson, cribbage for project managers, Notebook LM interface, source information, AI trust and transparency issues, user-uploaded data, audio overview generation within Notebook LM, potential for mobile app, Notebook LM for Business, AI for personalized learning, AI limitations, audience engagement, AI-generated podcasts, project management, historical background of cribbage, humor in AI-generated content, custom instructions for AI, proliferation of AI-generated podcasts, OpenAI News.

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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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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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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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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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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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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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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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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:
01:30 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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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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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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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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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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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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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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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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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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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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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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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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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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Related Episode:  Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

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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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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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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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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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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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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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Topics Covered in This Episode:

• Introducing OpenAI's New Model: O1 Preview
• O1 Preview: Chain of Thought Reasoning
• Comparison: GPT-4 and O1 Preview Performance
• Anticipated Frequent Language Model Updates
• OpenAI O1: Features, Limitations, and Pricing
• User Experience Concerns with O1 Series
• Benchmark Performance: O1 Surpassing PhDs
• The Current and Future State of AI
• Practical Testing of Large Language Models
• Real-Time Application of AI Models
• AGI and Chain of Thought in AI Evolution
• Exclusivity of O1 Preview to ChatGPT Accounts
• O1 Preview: Shift in AI Approach to Problem-Solving
• Live Testing Demonstrations on Podcast
• Regulation Needs for Safe AI Development.

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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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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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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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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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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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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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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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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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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Related Episode: Ep 253: Custom GPTs in ChatGPT – A Beginner’s Guide

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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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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

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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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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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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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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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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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Related Episodes: Ep 218: Winning the Probability Game in AI Visuals
Ep 198: Midjourney V6 – What’s new and producing powerful ad creatives

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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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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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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 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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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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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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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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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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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

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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

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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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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?

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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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Related Episode:
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. 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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Related Episode:
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes

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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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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

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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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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

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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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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

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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?

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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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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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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

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Website: YourEverydayAI.com
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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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Related Episodes: Ep 257: GenAI – Turning trash into treasures?
Ep 119: AI in Renewable Energy – Insights from NVIDIA

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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.