Everyday AI Podcast – An AI and ChatGPT Podcast

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What happens when a company like Microsoft changes the rules of work, seemingly overnight? We have to change the way we play the game. In today's episode of Everyday AI, we're not just breaking down what's new in Microsoft Copilot, but how everything Microsoft announced at Ignite is going to change your biz strategy. 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI and Business Strategy
2. Role of AI Agents
3. AI and Time Management
4. Adoption and Implementation of AI
5. AI and Work Culture Transformation

Timestamps:
00:00 Microsoft Ignite: AI updates reshape work strategies.
04:31 Agents enable human-AI collaboration and job reimagination.
07:16 Leadership and reimagining business essential with AI.
12:46 Embrace AI impacts; start integrating it now.
14:49 Stay focused; start small with AI projects.
17:12 Listen to WorkLab for insights on AI adoption.
20:25 AI encourages internal data transparency and collaboration.
24:52 Integrate AI strategies for effective business implementation.

Keywords:
Microsoft Ignite Conference, AI, Microsoft Copilot, business leaders, generative AI, Everyday AI, Microsoft WorkLab, Creative Strategies, large language models, planning, technology shift, agents, autonomous agents, AI transformation, AI adoption, AI strategy, reimagining jobs, collaboration, productivity, time saving, ROI, AI investment, unstructured data, Microsoft Teams interpreter agent, AI native organizations, AI powered organizations, AI ethics, enterprise AI application, podcast automation, AI advisory.

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Ready for the buzzword(s) of 2025? Autonomous Agents. Ready for your cheatsheet for Autonomous Agents? Brought to you by legit one of the worldwide leaders in the space -- Ray Smith. Ray is the VP of AI Agents at Microsoft. Ray took time out of his busy schedule to join us at the Microsoft Ignite conference. This is one convo you legit cannot miss.

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Topics Covered in This Episode:
1. Copilot Studio Overview
2. Use Cases for Copilot Studio
3. Three Layers of Using M365 Copilot
4. Shift in Work Dynamics
5. SharePoint Agents
6. Data Security and Governance

Timestamps:
00:00 Generative AI insights: podcast, newsletter, Microsoft WorkLab.
04:58 Azure AI Foundry platforms enable advanced AI development.
09:39 Copilot Studio simplifies low-code app development.
12:32 Automate email triggers across various business systems.
16:50 AI boosts productivity and efficiency with autonomous agents.
19:43 Easily create agents for instant information access.
21:47 Data security and access concerns in AI.
26:12 AI enables advanced automation with cognitive reasoning.
28:50 Personalized assistants will revolutionize work and internet.
32:19 Sign up for Everyday AI newsletter updates.

Keywords:
Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, autonomous agents, AI agents, rapid prototyping, app development, custom agents, use cases, two-way invoice matching, document creation, document retrieval, document summarization, workflow innovation, Ray Smith, SharePoint agents, meeting action completions, agentic AI, AI in productivity, real-time translation services, robotic process automation (RPA), cognitive reasoning, AI in business, AI in personal contexts, dynamic data, data security, access controls, governance, integrations and connectors, citizen developers.

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Microsoft unveiled two new custom processors, Azure Integrated HSM for security and Azure Boost DPU for data processing, at their Ignite conference to enhance security and efficiency in Azure data centers, positioning themselves against competitors like Nvidia and AMD. We sit down with Alistair Speirs, Senior Director, Azure Infrastructure at Microsoft to discuss.

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Topics Covered in This Episode:
1. New AI Tech by Microsoft at Ignite
2. Detailed explanation about DPU
3. Chip specialization in the tech industry
4. Role of the HSM in encryption
5. Future developments and challenges

Timestamps:
00:00 AI era's optimization progress for infrastructure delivery.
03:45 AI infrastructure is becoming more specialized efficiently.
08:08 Sustainable construction: Cross-laminated timber for data centers.
10:29 Optimizing infrastructure for faster, efficient, sustainable services.
15:21 Security and sustainability are our primary focuses.
17:23 Embedded encryption enhances security and performance.
20:12 Azure improves rapidly; visit youreverydayai.com.

Keywords:
Microsoft Ignite, Chicago, DPUs, GPUs, NPUs, Microsoft, Azure Infrastructure, data centers, Intel, AMD, NVIDIA, server architectures, silicon development, AI announcements, Azure Boost DPU, ASIC, storage operations, power usage, CPU, network card, infrastructure optimization, AI acceleration, cloud workloads, Azure services, energy consumption, renewable energy, power sources, recycling rates, server materials, data center construction.

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In a few hours, Microsoft Ignite will drop dozens of AI updates on our heads.

↳ When's it all coming?
↳ What's new in Copilot?
↳ Will new AI agents be launched?
↳ What does it mean for my business?

Microsoft Ignite kicks off LIVE in our hometown of Chicago, and we'll be there LIVE giving you all the updates.

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Topics Covered in This Episode:
1. Microsoft 365 Copilot Actions
2. Copilot Agents in Teams
3. Copilot in PowerPoint
4. Copilot Pages
5. Windows 365 Link
6. Copilot Analytics
7. Delayed Recall Feature

Timestamps:
00:00 Microsoft Ignite Overview
03:33 Keynote highlights nine features for business growth.
07:21 SharePoint agents use specific site information.
12:37 Microsoft 365 Copilot simplifies tasks with customizable templates.
13:49 Microsoft 365 Copilot automates tasks using dynamic data.
19:20 PowerPoint Copilot: narrative builder and instant translation.
23:33 Windows 365 features security and copilot analytics.
25:11 Awaiting update on delayed Windows recall feature.

Keywords:
Microsoft 365 Copilot Actions, task delegation, fill-in-the-blank templates, flexible automation, private preview, dynamic data, multiple information formats, Copilot Agents in Teams, facilitator agent, real-time notes, coauthoring, collaboration, Interpreter agent, real-time translation, AI-enhanced screen content analysis, file summaries in Teams, Copilot in PowerPoint, narrative builder feature, instant translation, Copilot Pages, rich artifacts, real-time collaboration, Windows 365 Link, cloud PC, Microsoft Intune, Copilot Analytics, AI's business impact, Recall Feature, Everyday AI Show, WorkLab podcast.

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✅ OpenAI is releasing Agentic AI.
✅ Google now has the world’s top AI model.
✅ And Microsoft is hours away from its biggest AI announcements of the year.
 
Don’t waste time trying to keep up with AI on your own. We bring you the AI news that matters.

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Topics Covered in This Episode:
1. OpenAI's release of agentic AI
2. Google's Gemini AI updates
3. AI in Medical Diagnostics
4. NVIDIA's Role in AI
5. Microsoft Ignite Event

Timestamps:
00:00 Stay updated on AI developments with Everyday AI.
06:15 Google restricts Gemini model to backend developers.
09:10 AI training needed for medical professionals' effectiveness.
11:56 NVIDIA's strong GPU demand reflects AI expansion.
13:47 ChatGPT Mac updates streamline code assistance.
18:32 OpenAI seeks US support for AI infrastructure.
23:36 Google's Gemini and OpenAI's voice assistant lead.
25:50 Google Gemini: AI voice assistant revolutionizes data access.
28:26 OpenAI's Operator automates tasks with agentic AI.
32:25 Google's Gemini AI: Dominant, pending update challenge.

Keywords:
Everyday AI, Jordan Wilson, OpenAI, AI Developments, Microsoft Ignite event, Google's Gemini AI Model, AI Model Availability, AI in Medical Diagnostics, Bloomberg, Free Course on ChatGPT, Upgrade to Gemini AI, Gemini App on iPhone, Gemini Live, Google’s Notebook LM, OpenAI's upcoming AI tool Operator, Agentic AI, AI Safety, NVIDIA, AI Chips, U.S. Tariffs on Chinese Imports, OpenAI's ChatGPT Updates, North American AI Alliance, AI Economic Zones, Global AI Dynamics, Microsoft Ignite Event Broadcast, AI News, Everyday AI Newsletter, OpenAI's GPT-4, NVIDIA's Q3 Earnings, AI Discussions at Microsoft Ignite.

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Wait.... Google has ANOTHER AI tool? 🤔 
 
Here's the gist of Google's LLM-powered tools 👇 
 
 ↳ Google followed started with Gemini 
 ↳ Then we got NotebookLM, which is kinda like Gemini 
 ↳ Then we got Illuminate, which is kinda like NotebookLM 
 ↳ Then we got 'Learn About' which is kinda like all of them and none of them at the same time 
 
So what the heck is this AI learning tool? 
 
And how should you use it? 
 
Hint -- we'll answer all the questions. 


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Topics Covered in This Episode:

1. Introduction to Google Learn About
2. Learnabout Tool
3. Gemini AI
4. Notebook LM
5. Google Illuminate
6. Description and Demonstration of Tools
7. Google's AI Tool, "Learn About" Detailed breakdown
8. Google's Tools Comparison
9. Platform "Learn About" live demo
    

Timestamps:
00:00 Learn generative AI: Daily livestream, podcast, newsletter.

05:58 AI news: Elon Musk sues OpenAI, Microsoft for antitrust.

08:57 Learn About: Google's educational AI using LearnLM.

11:13 Visual and conceptual-focused AI learning by Google.

13:05 Google's Gemini app integrates with Google products.

18:17 Access arxiv.org for open scientific papers free.

21:56 Comparing WordPress versus Squarespace and ChatGPT insights.

25:38 Comparing WordPress vs Squarespace: visual learning emphasis.

27:02 Comparing WordPress and Squarespace: Pros and Cons

30:55 Squarespace: Easier ecommerce for showcasing and orders.

32:56 Experimental tool generates detailed prompts automatically.

39:23 AI tool simplifies creating research paper podcasts.

40:38 Notebook LM generates podcasts from research papers.

45:01 Learn About lacks default voice command option.

47:10 Google's new tool is free and useful.


Keywords:
Learnabout Tool, Google AI, visual learning, educational tool, Gemini AI, multimodal AI, chatbot, Google Illuminate, NotebookLM, AI in education, Learn LM model, Jordan Wilson, Everyday AI, AI strategy, Google-Squarespace partnership, interactive web pages, learning management system, Google Gemini, research papers, OpenAI, Elon Musk lawsuit, Microsoft Ignite, SquareSpace, WordPress, AI-generated podcasts, Web Content Accessibility Guidelines, web development, Wordpress vs Squarespace, user-interface, UI/UX design

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Topics Covered in This Episode:

1. Technology Landscape with Operator
2. Rapid Development and Impact of AI
3. Role of 'Operator' Agent from OpenAI
4. Transformation in the Tech Industry
5. Discussion on New Software Tools
6. Concerns and Risks in the Field of AI
7. Potential and Future of Agentic AI
8. Competition and Industry Movement in AI

Timestamps:
00:00 Operator details from OpenAI

03:40 AI News: iPhone gets Google AI, AMD cuts jobs.

08:52 Agentic AI prioritization for OpenAI's long-term future.

12:49 GPT models remain unmatched; anticipate future advancements.

14:36 Powerful AI: performs tasks autonomously, manages workflows.

20:42 Google leaked AI assistant Jarvis, then retracted.

24:13 Large language models' affordability: immense value accessed.

25:03 Companies collect data to improve agentic AI.

28:29 AI is taking jobs faster than creating.

33:34 Establish guardrails for autonomous AI in enterprises.

36:56 AI will transform work; Microsoft leads integration.

39:40 Magenta 1: polished, easier setup, multi-agent workflow.

43:40 Agentic AI risks: rogue behavior, significant threats.

44:33 Exploring new advancements in generative AI.


Keywords:
Jordan Wilson, agentic AI systems, tech companies, Anthropic’s AI system, Google Jarvis, Microsoft's autonomous AI agents, Copilot Studio, Salesforce Agent Force, release intervals, large language models, transformative shift, AI job impact, AI-related skills, corporate interests, AI's impact on jobs, OpenAI Operator, AI automation, Google Gemini app, AMD AI focus, NVIDIA, Everyday AI show, workplace automation, AI safety, AI governance, AI agents, business preparation, Microsoft AI solutions, AI risks, AI developments, Anthropic’s computer use

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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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Anthropic recently 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:
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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How is OpenAI expanding partnerships with the U.S. government? Why is Salesforce hiring 1,000 humans to sell an AI that is supposed to sell better than humans? What will Donald Trump's impact on AI be? And is Microsoft giving up on Copilot Pro? So many AI questions.... we've got the answers. We bring you the AI news that matters.

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Timestamps:
06:49 Salesforce hiring despite AI, future job concerns.

09:51 Court dismisses copyright lawsuit against OpenAI.

12:18 Trump's return may reshape U.S. AI policy.

15:48 Tariffs impact AI costs; Trump's policies reshape tech.

18:39 Microsoft 365 price increase reflects added value.

21:42 Google's Jarvis AI preview leaked, quickly removed.

24:57 System orchestrates agents for diverse task management.

29:15 OpenAI explores synthetic data amid training challenges.

33:39 AI updates: Partnerships, hiring, lawsuit, uncertain AI future.

Keywords:
Jarvis AI, Google, Chrome extension store, user experience, online shopping, travel planning, permission requirements, Anthropic, Microsoft Magenta 1, AI agents, open-source auto gen framework, GPT-4, OpenAI, Orion model, synthetic data, Jordan Wilson, lazy AI usage, low-quality output, AI development, US federal government, NASA, IRS, Salesforce Agent Force, copyright lawsuit, Donald Trump, AI policy, Microsoft Copilot Pro, AI hardware costs, tech industry, Chicago.

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Why AI agents? And why now? You've prolly been seeing all the buzz around AI agents lately. Same. Here's the thing, though. There's more to them than meets the eye. Scott Beechuk joins us to dive in deep and tell ya what you need to know.

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Topics Covered in This Episode:
1. Current State of AI Agents
2. Challenges in AI to AI Interactions
3. Guardrails in AI
4. Humans’ Roles in AI Integration
5. AI Agent Use Cases
6. Future of AI Agents

Timestamps:
00:00 AI agents are mainstream, bridging future enterprise work.
05:28 Technological shifts drive innovation, advancing AI capabilities.
07:40 Automate knowledge tasks and complex problem-solving cautiously.
10:25 AI complexity requires new quality assurance strategies.
15:53 AI agents optimize customer service interactions effectively.
19:39 AI's future: Multimodal interactions with voice, video.
23:51 AI enhances customer relationship building and sales effectiveness.
26:57 AI development tools advancing, with complex AI interactions.
29:13 Tracing AI interactions lacks standard communication protocols.
31:41 Build companies by working backward for efficiency.

Keywords:
AI advancements, GitHub Copilot, Microsoft's WorkLab, AI guardrails, OpenAI, AI in sales, AI in customer engagement, Scott Beechuk, AI agents, machine learning, generative AI, ChatGPT, customer service, transparency in AI usage, automating customer outreach, multimodal future of AI, AI development, R&D in AI, AI systems' risks, Cursor, Zencoder, Replicant, Jordan Wilson, Norwest Venture Partners, Software development, Anthropic, Salesforce, EveryDay AI podcast, data privacy in AI, brand integrity with AI

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In the age of AI, your ideas are worth nothing. For reals. If you really wanna innovate, you've gotta learn to move on from ideation to execution. Easier said than done, right? What if you could steal the game plan from the former head of Innovation at PayPal, Mike Todasco? Well now you can.

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Topics Covered in This Episode:
1. Applications and Capabilities of LLMs
2. Approach to AI for Non-Technical Users
3. Future Changes and Challenges with AI
4. Role of AI in Creativity and Business Innovation
5. Adapting to AI and Challenges for Big Companies

Timestamps:
00:00 AI democratizes innovation for all, experts unnecessary.
05:19 Unqualified at PayPal, led mobile innovation.
07:39 Russian hackers drove PayPal's innovation culture.
11:51 AI tools were revolutionary for non-engineers.
15:12 Language models evolving; accessible to nontechnical users.
19:31 Claude for writing, ChatGPT for math tasks.
22:54 My brainstorming partner after initial planning stage.
25:45 AI makes idea generation easier; taste crucial.
27:37 Execution outweighs idea value; execution is key.
32:03 Companies face challenges adapting to new futures.
34:34 Listen to the WorkLab podcast from Microsoft.
37:03 Obsess over solving your customer's problems first.
42:37 Embrace curiosity, experimentation with AI tools.
44:52 Sign up for the free daily newsletter.

Keywords:
Large Language Models, Multimodality Features, Non-Technical Users, Personal Use Case, GPT, Dietary Advice, Model Experimentation, Suitable Models, User Interface, Google Gemini, Microsoft Copilot, Innovation, Everyday AI Podcast, Microsoft's WorkLab Podcast, Mike Todasco, Silicon Valley, PayPal, AI and Future Changes, Innovation Challenges, AI Progress and Investment, AI Agents, Business Innovation, Brainstorming Process, Role of AI in Creativity, Value of Ideas vs. Execution, Human Traits, Unlearning and Adapting, Challenges for Big Companies, Generative AI, GPT-3.

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Ya know how in big cities there’s a mix of cars and buses? It’s a symbiotic symphony of private vehicles and public transportation sharing the road. Can AI be like that? Nik Marda, the Technical Lead, AI Governance at Mozilla joins us to help us build that path. 

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Topics Covered in This Episode:
1. Public AI Explained
2. Public AI Implementations and Limitations
3. Trustworthiness and Concerns in AI Models.
4. AI Integration in Daily Life
5. Funding and Investment Needs for Public AI

Timestamps:
00:00 Public AI promises a safer, smarter future.
04:00 AI needs balance: commercial and public infrastructure.
07:41 Public-private AI ecosystems can symbiotically coexist.
12:34 Prioritize AI safety with smaller, quality datasets.
15:38 Public AI models, data, and infrastructure needed.
19:36 Public AI prioritizes trust, safety, accessibility, accountability.
23:51 Public AI approaches offer control and cost benefits.
27:56 Diversify AI sources for improved organizational resiliency.
30:12 Public AI offers open-source, mission-focused alternatives.

Keywords:
Public AI, Private AI, AI application development, Llama, OpenAI, Google, investment in AI, public AI initiatives, Olmo, Falcon 40b, AlphaFold 2, Mozilla's Common Voice, National AI Research Resource, FAST, India AI, AI Factories, AI vendors, AI systems, AI Trust, AI Accountability, AI Governance, Mozilla, commercial AI infrastructure, sensitive data, public-private structures, closed proprietary AI models, open-source AI models, AI integration, incentive structure, proprietary AI systems.

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Everywhere you turn.... AI agents. These past few months more than ever, the biggest companies and hottest startups have seemingly gone bonkers for AI agents. Why? And, what the heck are they? We'll give you the 101 on all things agents. 

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Topics Covered in This Episode:
1. AI Agents Explained
2. Future of AI Agents
3. Corporate Adoption
4. Economic Impact
5. Ethical Concerns

Timestamps:
02:30 What are AI agents?
06:30 AI agents have become mainstream in companies.
11:37 Human-AI collaboration saves billions for companies.
15:26 Microsoft's contextual memory aids business interactions greatly.
18:16 Salesforce uses autonomous agents, deep CRM integration.
23:14 Develop AI for complex language tasks understanding.
25:03 Defining an AI agent and core functions.
29:02 AI agents surpass large language models due tool access.
32:35 Recent AI advancements by Meta, Google, OpenAI, Microsoft, Salesforce
36:53 Chatbots now effective using natural language processing.
39:27 AI agents manage tasks using natural language triggers.
44:02 Challenges, opportunities in agent interfaces and tools.
45:28 Insufficient guardrails can make autonomous AI unsafe.
51:29 Future work demands creativity; AI integration inevitable.

Keywords:
Natural Language Processing, AI in Customer Service, AI Tools, Microsoft Copilot Studio, Zapier, AI in Sales and Marketing, Coding with AI, Replit agents, Cursor AI, Devon from Cognition, Future of AI Agents, Salesforce, Benefits of AI Agents, Challenges of AI Agents, Bias in AI, Ethical Concerns in AI, AI Agents Discussion, Corporate Adoption of AI, AI Accessibility, Economic Impact of AI, Productivity and Efficiency in AI, AI News, AI in Workforce, AI in stock market, Future Trends in AI, Business strategies for AI, Workplace fairness, AI in everyday work, Agentic models of OpenAI, Ethical Decisions in AI.

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GPT-5 is delayed. So is Copilot Recall Annnnd Google's Project Astra?
While Big Tech is facing AI delays, Anthropic is shipping, the Chinese military is reportedly using Meta's open Llama model, and LinkedIn has a new AI agent to do its recruiting. Here's this week's AI news that matters.

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Topics Covered in This Episode:
1. ChatGPT Search
2. Google AI gets real-time search
3. Anthropic Claude gets updates
4. OpenAI GPT-5 delayed
5. Google's Project Astra delayed
6. Microsoft Recall feature delayed
7. China hacks Meta’s Llama model

Timestamps:
00:00 Improved ChatGPT: deeper engagement, Google-like search.
04:42 Google unveils real-time search for Gemini AI.
07:09 OpenAI and Google's strategies differ for developers.
12:30 Google demonstrates delayed Project Astra with computer vision.
15:52 Recall testing postponed; opt-in feature due December.
17:34 Microsoft may rebrand AI as Windows Intelligence.
23:26 LinkedIn aims to automate 80% of recruiting tasks.
26:45 China uses open models for military purposes.
28:45 Sam Altman confirms no imminent GPT-5 release.
32:05 OpenAI prioritizes reasoning models; GPT-5 delayed.
35:08 AI updates: LinkedIn, Meta, Reddit AMA, and more.

Keywords:
ChatGPT, New Search Tool, Google, Gemini AI, AI Business Competition, Anthropic, PDF processing system, AI Industry Trends, Jordan Wilson, Google Project Astra, Microsoft Copilot Plus Recall Feature, Windows Intelligence, Microsoft Rebranding, advanced voice mode feature, DALL-E, Soarra, GPT-5, Search GPT, Claude Mac app, LinkedIn AI hiring assistant, China, Meta’s Llama model, military AI development, Sam Altman, Reddit AMA, Australia, rebranding, Copilot, potential bias, export restrictions.

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It's the trillion dollar AI question. When will we achieve Artificial General Intelligence? (And what the heck is it, anyway?) We'll give you the 101 on what you need to know, and one secret that could be holding the official discovery back.

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Topics Covered in This Episode:
1. Definition of AI, AGI and ASI
2. Evolution of AGI
3. Impacts of Advancements in AGI
4. Future of AGI

Timestamps:
02:00 When is AGI coming?
09:54 Machines performing tasks requiring human intelligence.
13:10 Generative AI brings impressive outputs through language.
14:04 Generative AI democratizes US AI capabilities; narrow compared.
19:00 Correct prompting with PPP course at podpp.com.
20:52 Big tech companies openly working toward AGI now.
25:37 AGI development inevitable, desirable, surpassing human capabilities.
28:16 Pre-2020, experts said AGI was 80 years away.
31:25 Criticism of experts in generative AI misunderstandings.
33:49 Has AI's definition of AGI changed?
37:21 Definition of AGI has evolved over time.
40:45 Partnership between Microsoft and OpenAI pivotal.
45:21 OpenAI benefits from important Microsoft partnership changes.
47:08 Tech companies must focus on AGI development.

Keywords:
AGI, Artificial General Intelligence, OpenAI, Microsoft, partnership, AI development, AI startup, Anthropic, copyright infringement, Google's Gemini team, Token offering, AI models, USAID, ChatGPT Enterprise, AI pace estimation, AI evolution, Artificial Superintelligence, AI prediction chart, ARK Invest, GPT 3 technology, Traditional AI, Generative AI, AI democratization, AGI benchmark, ChatGPT course, AI startups, Big tech companies, AGI cost reduction, Future of work, Everyday AI podcast.

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There’s very few people in the world as qualified as Xuedong Huang to talk about AI-first workplaces. For real. Now the CTO of Zoom, Xuedong (Known as XD) previously spent 30+ years bringing productivity software working at Microsoft. So, what do we need to know? Xuedong's gonna share all!

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Topics Covered in This Episode:
1. Changes in the Workplace Due to AI
2. Adapting an AI-First Workplace
3.Integration of GUI and Conversational User Interface

Timestamps:
00:00 Technology, AI transform modern workplace productivity.
06:42 Effective transition to future work with AI.
08:33 Daily assistant enhances productivity and information consumption.
11:18 AI changes productivity in meetings, reading, writing.
16:58 Appreciate expert insights on strategic AI application.
17:35 Charting future for widely-used technology products.
20:42 Unlearn habits; embrace AI in the workplace.
25:46 Hope and advice for AI-driven workplaces.

Keywords:
Zoom, AI Companion, Generative AI, AI First Workplace, AI Tools, Large Language Models, Productivity, Technology, Microsoft, Google, Google Docs, Microsoft Word, Internet, Workplace, Mobile Phones, Web, Cloud, Action Items, Meetings, email, Typewriter, Desktop Computing, Collaboration, Task Tracking, Anthropic, Google Gemini, GBT 4, GUI, AUI, Web Search

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Most college kids aren't actually learning AI. They're just using ChatGPT to write their papers. Problem? Yes. Is there a solution? Well, there's some good next steps, and Jason Gulya. He joins us to discuss.

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Topics Covered in This Episode:
1. AI in Education Over Time
2. Challenges and Shifts in Attitudes towards AI
3. AI's Impact on Employability
4. Institutional Diversity and Approach to AI Adoption
5. Teaching with AI

Timestamps:
00:00 AI's controversial impact on college education.
05:19 Banning AI use impractical; students need skills.
09:35 Colleges need to prioritize job-focused education.
11:28 AI classroom integration varies widely across universities.
14:31 Chatbots enhance scenario-based learning's practical application.
17:12 Faculty adapting to technology, resistance declining.
22:35 Rediscover Grammarly; explore generative AI features.
23:23 Limitation on usage of Microsoft's new features.
29:23 Students find school easy using chat GPT.
32:38 Professors' approaches vary; change is expected soon.
33:25 Institutional guidelines needed for consistent AI policies.
37:06 Reevaluating essay assignments in colleges is beneficial.

Keywords:
AI in education, generative AI, Everyday AI podcast, ChatGPT, Jordan Wilson, Jason Gulya, AI impact on job market, AI integration in education, colleges' approach to AI, technological literacy, AI resistance, faculty attitudes toward AI, student involvement, institutional policies, environmental considerations, student experience with AI, faculty communication, AI content detectors, trust in education, teaching strategy with AI, challenges with AI adoption, institutional change, cultural shift in academia, teaching with AI, future of AI in education, role of AI in colleges, AI scale teaching method, AI discussions in education, impact of AI on teaching practices, AI readiness for workforce.

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Wanna learn Claude's new agentic AI? Got 30ish minutes? This is the show for you then. In short -- Computer Use is an agentic AI system where you can control a virtual computer just by talking to Claude. Join us as we break it down. 

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Topics Covered in This Episode:
1. Overview of Anthropic Claude
2. How to Use Claude Computer Use
3. Critiques of Anthropic's Tools
4. Future of AI Agents

Timestamps:
00:00 AI agents essential in businesses by 2025.
04:48 Google developing AI agent 'Jarvis'; competition intensifies.
10:01 Using an API key; GitHub shares code.
11:22 Docker is a versatile containerization tool for developers.
15:36 Claude Sonnet 3.5 limits commands despite plans.
17:08 Replace placeholder with copied API key.
23:17 Demonstrating computer vision on a virtual desktop.
25:33 Claude retained information without website visit.
29:31 Experiencing repeated errors toggling between applications.
30:49 Visit everydayai.com, list latest 3 episodes.
35:10 Word document created with AI episode summaries.
37:12 Direct AI with simple code; needs improvement.

Keywords:
Jordan Wilson, Claude AI, language model, Everyday AI Podcast, podcast summaries, document formatting, model interaction, AI errors, AI execution challenges, API key, Docker usage, virtual desktop, Word document creation, live stream, Anthropic updates, Claude free plan, API key security, Docker installation, Service tier levels, GitHub repositories, AI in Business, Claude's updates, Google Project Jarvis, OpenAI, Microsoft, Salesforce Agent Force, Amazon Bedrock, Google Cloud's Vertex AI, AI agents, Application Programming Interfaces.

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This is all bonkers. Google’s Gemini 2.0 and ChatGPT-5 could both drop in December. Are we about to see an AI showdown? OpenAI’s AGI chief just quit, warning: we’re not prepared for what’s coming. Congress stalling on funding the U.S. AI Safety Institute. If it collapses, who’s keeping AI in check? Here's this week's AI news that matters! 

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Topics Covered in This Episode:
1. Google's Project Jarvis
2. OpenAI's upcoming AI, Orion
3. US AI Safety Institute
4. Disney's upcoming AI initiative
5. Release of Anthropic's AI model
6. Apple's AI efforts

Timestamps:
00:00 Google Gemini 2.0 promises AI improvements, challenges.
05:02 AGI concerns prompt OpenAI departure, influence aims.
09:28 Coalition urges Congress to secure AISI's future.
12:34 US unveils AI strategy for national security.
16:21 iOS 18.1 released; AI requires iPhone 15 Pro.
17:25 iOS 18.1 enhances writing tools and summarization.
22:37 Disney to announce major AI creative transformation.
27:35 Claude 35 Sonnet: Powerful but buggy automation tool.
28:22 Anthropic impressively shipped agentic AI first.
33:14 Google's Jarvis uses computer vision; early development.
36:31 AI-generated video indistinguishable from real; early stages.
38:45 Orion upgrade enhances AI efficiency across industries.
41:16 No Orion release before December, says Altman.
44:22 Google Gemini, GPT-5, AGI concerns, AI strategies.
47:06 Subscribe, follow, rate, share, and join daily.

Keywords:
Jordan Wilson, Google's Project Jarvis, Gemini, web automation, AI agents, Microsoft's Copilot Vision, Copilot Studio, Anthropic, OpenAI, Orion, GPT Tool, AI advancements, AI safety, US AI Safety Institute, AI benchmarks, Microsoft Surface laptop, Disney AI initiative, Anthropic Claude 3.5 SONNET, Claude 3.5 Haiku, Sam Altman, Orion's release, Microsoft's Ignite Conference, Google Gemini 2.0, federal AI legislation, AI national security, Character AI, Google lawsuit, Apple iOS 18.1, Apple Intelligence, revamped Siri.

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Can we be too productive with GenAI? Yeah, we're getting more done—but what are we losing in the process? And when does efficiency start to harm creativity and well-being and what can we do about it? Yen Anderson, Copilot Champ, Azure and AI Microsoft, join us as we dig into the duality of AI productivity.

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Topics Covered in This Episode:
1. Training and evolution of AI use
2. Practicality and use of AI in daily tasks
3. AI adoption, productivity, and deep insights
4. Highlight of Copilot’s utility

Timestamps:
02:20 Daily AI news
04:30 About Yen and her role at Microsoft
05:36 Microsoft's Copilot Studio announcements create significant buzz.
08:35 AI reduces meeting overload, improves efficiency.
11:27 Delegated tasks to Copilot; improved workflow efficiency.
15:24 Balancing tasks between humans and AI efficiently.
18:19 Using Copilot for insights, energy management, brainstorming.
21:46 Check out WorkLab podcast by Microsoft for insights.
23:17 Experimentation is key to advancing chatbot capabilities.
28:27 Balance productivity with rest, family, and joy.
30:33 Start small, improvements compound, learning curve eases.
32:22 Constantly sharing knowledge and receiving feedback.

Keywords:
Yen Anderson, Copilot, repetitive administrative tasks, document creation, brainstorming, flexibility, user control, advancing human potential, Microsoft 365, Microsoft Graph, AI training, AI experimentation, AI security and privacy, WorkLab podcast, Generative AI Community, AI learning opportunities, LinkedIn, AI in daily tasks, Microsoft 365 Copilot licenses, mental health, verification and accuracy, continuous learning, Jordan Wilson, Claude by Anthropic, OpenAI Orion, back-to-back meetings, AI benefits, intentional workflow changes, joy versus efficiency, self-care.

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The talent pool is shrinking, and companies are scrambling to stay ahead. But while most are hesitant to dive into AI, the real fear should be falling behind those who are. Want to know how AI can drive the shift you’ve been waiting for? Karrie Sullivan, CEO and Founder of Culminate Strategy Group, joins us to discuss what it takes to not just survive—but thrive—in the talent crisis.

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Topics Covered in This Episode:
1. Organizational & Leadership Resilience
2. Adoption of AI in the Workplace
3. Use Cases for AI Implementation
4. Psychological Strategy for AI Adoption
5. Generational Workforce Changes

Keywords:
Karrie Sullivan, AI, organizational resilience, leadership resilience, change management, FOMO, social pressure, early adopters, command and control leadership styles, baby boomer retirement, workforce challenges, AI adoption, generative AI solutions, Copilot, results drivers, AI integration strategy, AI use cases, podcast promotion, Microsoft WorkLab podcast, Everyday AI podcast, HUGS open-source software, AI lawsuit, Apple AI features, Culminate Strategy Group, ChatGPT, psychological strategy, communication challenges, behavioral change, coaching with AI, generational workforce changes.

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AI can use computers now? Yup. With Claude 3.5 Sonnet updates, Anthropic's LLM now has access to 'Computer Use.' Is this new mode going to change how we use LLMs? And what else is noteworthy with Claude's new updates in 3.5? We'll go over it all.

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Topics Covered in This Episode:
1. Claude 3.5 Updates
2. Computer Use Feature
3. API and Pricing
4. Model Benchmarks
5. Potential for Business Applications

Timestamps:
02:15 Daily AI news
05:10 New updates from Anthropic
06:32 Claude excels in human-like writing, lacks connectivity.
09:56 Claude 3.5 updates: SONNET new, now labeled.
11:36 New computer use excels with unstructured data.
14:39 Discuss Anthropic's unique API and pricing strategy.
18:13 Claw 3.5 SONNET excels in benchmark comparisons.
23:07 Cherry-picking without fair benchmarks undermines credibility.
26:33 PPP course improves prompt usage effectively.
27:37 Model omitted; operates logically using chain-of-thought.
31:17 Anthropic omitted model to avoid poor benchmarks.
37:09 Automated research and planning for sunrise viewing.
39:40 New tech handles errors; works with unstructured data.
43:44 Utilizes screenshots for computer vision, correcting issues.
46:02 Using the API quickly exhausts token limits.
48:38 Evaluate potential business impact of Anthropic's feature.

Keywords:
Anthropic, AI technology, programming a virtual computer, future implications for businesses, OpenAI, shipping product in beta, SONNET 35, Haiku 35, AI in future work environments, daily AI newsletter, computer use feature, Robotics Process Automation (RPA), API and Pricing, Claude 3.5 SONNET, benchmarks, community engagement, Jordan Wilson, Claude's natural language interface, Docker, Amazon Bedrock, Google Cloud's Vertex AI, MMLU Benchmark, Coding Benchmark, Math Problem Solving, Chain of Thought Reasoning, Host's Opinion, Prime Prompt Polish Course, Stability AI, Midjourney, Canva

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Think AI is just gonna fade into the wind? Like.... once the ChatGPT hype dies down? Think again shorties. One of the world's largest companies just silently went all in on autonomous AI agents. What did Microsoft announce and what does it all mean? We'll break it all down.

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Topics Covered in This Episode:
1. Microsoft's Autonomous AI Agents
2. Revolution of Autonomous AI Agents
3. Rise of Autonomous AI Agents
4. Autonomous AI Agent Competition
5. Promising Future Prospects

Timestamps:
02:45 Daily AI news
05:25 Microsoft announces Copilot autonomous agents in London.
08:34 Autonomous AI agents complete tasks without humans.
10:48 Run continuously, triggered by real-time data connection.
17:03 Listen to WorkLab Podcast for actionable insights.
18:27 Microsoft AI event lacked visibility and attention.
23:45 AI enhances understanding via a universal interface.
25:12 OpenAI's reasoning model excels, revolutionizes human-like thinking.
29:10 AI agent processes emails, plans actions autonomously.
31:24 Microsoft's agent processes engagement leads using AI.
34:46 Now autonomous, no duct tape or third-party.
37:55 Agent Force similar to Microsoft's autonomous AI.

Keywords:
Jordan Wilson, Microsoft, Salesforce, AI technology, OpenAI, Anthropic, autonomous AI agents, AI tour in London, Satya Nadella, Microsoft 365 Graph, Dataverse, Fabric, WorkLab podcast, Effective Leadership and Adaptation, Rise of Autonomous AI Agents, Shift from Language Models, AI Agent Advancements, Universal Interface, Reasoning and Planning, Enhanced Memory and Context, Use Case - McKinsey, youreverydayAI.com, Copilot Studio, natural language, Salesforce Agent Force, AI-first companies, generative AI leadership, IBM Granite 3.0, ChatGPT Updates, Amazon SageMaker.

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Are OpenAI and Microsoft fighting? Why does the U.S. military WANT AI deepfakes? Will Perplexity's new features make it a ChatGPT competitor? We bring you this week's AI news that matters.

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Topics Covered in This Episode:
1. Pentagon & AI Deepfakes
2. NVIDIA's New AI Model
3. Google Notebook LM Updates
4. Adobe Max Conference and Related Updates
5. Microsoft and OpenAI Equity Negotiations
6. Apple's AI Development
7. Perplexity's New Features
8. Meta's AI Developments

Timestamps:
00:00 AI updates: Deepfakes, Adobe, Microsoft, OpenAI clash.
04:36 Microsoft to launch customizable AI agents soon.
09:10 Mac app for ChatGPT out before Windows.
12:09 Apple's AI rebranding lags; partners with OpenAI.
16:57 Perplexity: Good for insights, unreliable for citations.
20:14 US government explores deep fake technology's implications.
21:46 Pentagon wants AI deepfake users for understanding adversaries.
26:10 Open-source model excels in specific benchmark test.
30:07 Notebook LM launching business edition; future charges expected.
34:20 Adobe video generator launches, beating OpenAI's release.
37:10 Microsoft, OpenAI seek bank help for negotiations.
38:47 OpenAI restructuring for profit and societal balance.
44:15 Microsoft offers ChatGPT app for paid users.

Keywords:
Pentagon, AI Deepfakes, The Intercept, NVIDIA, AI Model, Llama 3.1 Nemo Tron 70b Instruct, Google, Notebook LM, Gemini 1.5 model, business edition, AI audio, Adobe Max Conference, Adobe Firefly video model, Adobe Firefly 3 Image Generator, generative extend feature, Microsoft, OpenAI, equity negotiations, AGI, Microsoft-OpenAI partnership, Copilot, GPT technology, Satya Nadella, Sam Altman, Jordan Wilson, webinar, podpp.com, Apple AI development, Siri, NLP capabilities, Apple Intelligence, Perplexity, US Military, deepfake technology, ChatGPT, Customizable AI agents, Dynamics 365, Meta, synthetic data, Agentforce.

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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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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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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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Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Allocation of resources and the role of AI
2. Responsible and intentional AI practices
3. Complexities of upskilling and reskilling
4. Implications of AI on a grand scale

Timestamps:
01:50 Generative AI impact on high school students.
05:40 About Diya and her role at AWS
10:28 Inclusive AI promoting fairness and accessibility.
13:47 Augmenting human capability with technology for efficiency.
15:31 Comparing AI to automotive revolution, impacting jobs.
19:50 Resistance, failure, and education for responsible AI.
23:27 Skills need constant updating for technological advancements.
26:08 Responsible AI as an organizational culture structure.
32:21 Resource allocation may impact access to healthcare.
35:42 AI levels playing field for diverse learners.
38:59 AI as bridge, not barrier, empowering all.

Keywords:
Diya Wynn, Jordan Wilson, Everyday AI Show, AWS, Medicare, Medicaid, AI implementation, disparities in access, Artificial Intelligence, organizational structure, AI practices, education, banking services, hiring processes, video production, systems testing, upskilling, reskilling, responsible AI policy, technology advancements, job displacement, job creation, biases, fairness, workforce changes, World Economic Forum predictions, AWS responsible AI strategy, heart disease prediction, industry events, community engagement.

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Wait.... tokens? When using a large language model like ChatGPT, tokens really matter. But hardly no one understands them. And NOT knowing how tokens work is causing your ChatGPT output to stink. We'll help you fix it. 

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Related Episodes: Ep 253: Custom GPTs in ChatGPT – A Beginner’s Guide
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about

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Topics Covered in This Episode:
1. Tokenization in ChatGPT
2. Comparison of Different AI Models
3. Importance of Tokenization and Memory in AI Models
4. Limitations of ChatGPT
5. Explanation of Tokenization Process

Timestamps:
02:10 Daily AI news
07:00 Introduction to tokens
10:08 Large language models understand words through tokens.
12:05 Understanding tokenization in generative AI language models.
16:35 Contextual analysis of words for language understanding.
19:15 Different models have varying context window sizes.
23:57 Misconception about GPT-4. Detailed explanation follows.
26:38 Promotion of PPP course, common language mistakes.
28:57 Excess text to exceed word limit intentionally.
33:19 Keeping up with ever-changing AI rules.
36:50 Recall important information by prompting chat GPT.
40:37 Highlight information, use quotation button, request summary.
43:41 Clear communication is crucial for ChatGPT.

Keywords:
Jordan Wilson, Bears football team, personal information, Carolina blue, deep dish pizza, token counts, memory limitations, ChatGPT, tokenization, language models, generative AI, controlling response, token range, memory recall, AI models, GPT, anthropic Claude, Google Gemini, context window, book interaction, large language models, OpenAI's GPT 4.0, transcript summary, Everyday AI, Google's Gemini Live AI assistant, new Pixel 9 series, XAI's Grok 2, OpenAI's GPT 4 update, importance of tokens in chatbots, podcast promotion.

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There's a time-saving, eye-boggling AI gem under your nose. Similar to custom GPTs from ChatGPT, Claude Projects can save you a ton of time. But what are they? And how can your company save time using them? 

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Related Episodes:
Ep 206: There is No AI Hype – This is how the world works now

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Topics Covered in This Episode:
1. Introduction to the AI bubble talk
2. The AI Bubble Discussion 
3. Economic Impact of AI 
4. Impact on AI Startups and Big Tech Dominance 
5. Generative AI and its Significance 
6. Reorganization and Revenue Generation in AI-Investing Companies 
7. Misperceptions and Missteps in AI integration 

Timestamps:
00:00 Daily livestream podcast and newsletter for AI enthusiasts.
03:37 Wuhai to rival NVIDIA in AI chip.
07:53 Rapid industry growth can lead to instability.
10:55 Assertive host makes confident, researched opinions weekly.
14:40 Stock market recovers half lost, historical gains.
17:53 AI bubble dominated by larger players, excluding Tesla.
21:42 Dotcom bubble era companies were too young.
22:33 Startup hype vs established company facts: logic wins.
28:38 Invest in generative AI for successful returns.
31:09 Triple down on training for change management.
35:39 Automate data to presentation with Microsoft 365.
37:40 Clear monetization path crucial for company success.
40:41 Transitioning to digital platforms for business operations.
46:11 AI startups face obsolescence with new models.
50:02 Refer 4 friends for daily AI insights.

Keywords:
Jordan Wilson, AI bubble, Everyday AI show, Free Daily Newsletter, Google's Gemini model, Wuhai, NVIDIA, AI chip market, Chat GPT's GPT 4.0, dotcom bubble, generative AI companies, S and P 500 index, market swings, social media influencers, big tech companies, Intel, Dell, Microsoft, Nvidia, Apple, Amazon, Google, Meta, AI startups, generative AI, Microsoft 365 Copilot, regulation, monetization plan, large language models, ROI on AI investment.

EP 335: No, there's no AI bubble so it won't be bursting. Dispelling all the AI bubble talk

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Is OpenAI actually dropping a new model this week, or is it just rumors? Will Perplexity's big payday help it catch Google? Why did Dell cut 12,000 jobs? We'll answer those questions and more on Everyday AI's weekly Monday AI news recap

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Topics Covered in This Episode:
1. Trump's False Claims and Misuse of AI
2. OpenAI Updates and New AI Models
3. Perplexity's Growth and Funding
4. Apple's AI Strategy and Developments
5. Dell's Focus on AI and Industry Impact

Timestamps:
00:00 OpenAI's new model, Dell job cuts, AI impact.
05:37 OpenAI announced search GPT, competitor to Google.
09:28 Apple partners with OpenAI for AI integration.
10:48 Bloomberg report predicts 3 years for advanced AI.
16:18 Dell creates AI unit, plans job cuts.
19:02 AI adoption raises stock, but job impact uncertain.
21:18 Trump alleged fake AI-generated crowd at Harris event.
24:33 Creating realistic content will become increasingly challenging.
28:46 OpenAI introduces powerful chatbot with advanced reasoning.
31:42 OpenAI co-founder leaves, lawsuits filed, internal turmoil.
35:46 OpenAI's powerful model may be unsafe.
41:16 Chatbot emulating human voice raises concerns.
43:34 AI news recap: Perplexity raises $250M, Apple's AI plans.
46:25 AI news, live stream, podcast, newsletter, subscribe.

Keywords:
Jordan Wilson, AI-related situation, US elections 2024, Donald Trump, AI-generated crowd, Kamala Harris, disinformation, AI content, OpenAI, Sam Altman, AI model "strawberry", executive changes in OpenAI, advanced voice modes, AI misuse, AI news, Perplexity funding, Apple's AI features, Dell's job cuts, GPT 4.0 security risks, AI model QSTAR, OpenAI lawsuit, voice emulation, Everyday AI, Sequoia, NVIDIA, Databricks, Bezos Expeditions, Search GPT, Apple Intelligence, AI job loss.

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When we think recycling, we might think of plastics. Probably not Generative AI, right? Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions.

How do they do it?

And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies?

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Related Episode:
Ep 224: AI and its Impact on Society - How it might look

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Website: YourEverydayAI.com
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Timestamps:
01:50 About James and Lanzatech
04:49 Using AI to engineer biology for refining.
09:47 Create biological language model to engineer microbes.
13:00 Misconception about value from large language models.
15:58 Importance of creating and using specialized models.
17:10 AI accelerates technology development, leading to efficiency.
22:09 AI enhances scientific experiments with human oversight.
24:32 Golden age of technology with AI excitement.

Topics Covered in This Episode:
1. About James Daniell and Lanzatech
2. How generative AI helps recycling
3. Use and benefits of AI within LanzaTech
4. Potential of GenAI solving environmental problems

Keywords:
Generative AI, science, biology, productivity, sales cover letter, bio companies, life science companies, impact, everyday AI, Jordan Wilson, artificial intelligence, computational biology, LanzaTech, climate change, fossil fuels, pollution, carbon, carbon recycling, microbes, emissions, carbon recycling technology, building block chemicals, fuels, products, transformer, Google, genetic engineering, trash into treasures, internal scientific knowledge base, intelligence amplification.