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    Topics Covered in This Episode:

    Technology Landscape with OperatorRapid Development and Impact of AIRole of 'Operator' Agent from OpenAITransformation in the Tech IndustryDiscussion on New Software ToolsConcerns and Risks in the Field of AIPotential and Future of Agentic AICompetition 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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    Join the discussion: Ask Jordan questions on 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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    Website: YourEverydayAI.com
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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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    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Applications and Capabilities of LLMs
    2. Approach to AI for Non-Technical Users
    3. Future Changes and Challenges with AI
    4. Role of AI in Creativity and Business Innovation
    5. Adapting to AI and Challenges for Big Companies

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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    Join the discussion: Ask Jordan questions on AGI

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

    Timestamps:
    02:00 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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    Connect with Jordan on LinkedIn

    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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    Connect with Jordan on LinkedIn

    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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    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

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

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

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

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

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    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    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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    Join the discussion: Ask Jordan questions on Anthropic Claude

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    Website: YourEverydayAI.com
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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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    Join the discussion: Ask Jordan questions on Microsoft AI

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    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    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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    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    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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    Website: YourEverydayAI.com
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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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