Avsnitt

  • Send Everyday AI and Jordan a text message

    This one's personal for me. I talk GenAI every day. For 7 years, I was a journalist. So what's the future like when the journalism and AI worlds collide? Pete Pachal, Founder of The Media Copilot, joins us to discuss.

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    Join the discussion: Ask Jordan and Pete questions on Journalism and AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Journalism's Perceptions of AI
    2. Evolution of Media and Its Challenges
    3. Benefits of AI for Journalism
    4. Monetization and Legal Implications
    5. Journalists' Pain Points with AI

    Timestamps:
    00:00 AI in Journalism
    06:39 Journalists' Skepticism Toward AI
    07:31 AI's Enduring Impact on Media
    12:24 The Struggle for Digital Monetization
    14:08 "Internet 'In Shitification' Phenomenon"
    17:38 Media Lawsuits Against AI Shift
    23:28 AI Licensing and Content Strategy
    26:02 Upskill to Compete with AI
    28:32 The Challenge of Modern Journalism

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    Another "Deep Research"? OpenAI just released its version of Deep Research, not to be confused with Google's own Deep Research. But not all AI-powered Deep Research tools are the same, believe it or not. We show you how OpenAI's newest agentic tool works and how you can use it.

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    Join the discussion: Ask Jordan questions on OpenAI

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    Website: YourEverydayAI.com
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    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Overview of OpenAI’s Deep Research
    2. Comparison to Google’s Deep Research
    3. How Deep Research Works
    4. Use Cases, Limitations, and Best Practices
    5. Deep Research Larger Implications

    Timestamps:
    02:30 Daily AI news
    07:10 Breaking down OpenAI's Deep Research
    11:10 Specifying Earnings for Analysis
    18:02 AI Research Model Comparison
    20:17 OpenAI's Deep Research vs. Operator
    25:19 OpenAI's Agentic Digital Detective
    29:00 Challenging Benchmark: "Humanity's Last Exam"
    31:51 AI's Expanding Context Window
    34:01 Top AI Tools for Research
    37:11 AI Content Filtering & Safety Measures
    42:55 Researching Nike's Fiscal Numbers
    44:42 Nike vs. Adidas Financial Comparison
    47:44 Quality Over Quantity in Research
    50:38 Renegotiate Contracts for AI Tools
    54:23 Deep Research Use Cases

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    Did DeepSeek really train a chart-topping LLM for $5 million? Google Gemini quietly updated its AI chatbot. And OpenAI released a new model. That's just the beginning of impactful AI news this week. Join us on Mondays as we do the AI news that matters.

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    Website: YourEverydayAI.com
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    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. DeepSeek's AI Model
    2. OpenAI's Plans and Developments
    3. Important Updates from Other Tech Giants
    4. US Copyright Office’s Stance on AI Content
    5. Market Scene Around AI

    Timestamps:
    00:00 AI Breakthroughs and Costs Analyzed
    05:52 AI Market Shifts: NVIDIA & OpenAI Impact
    08:04 DeepSeek's AI Controversy and Impact
    12:11 Microsoft Hosts Controversial DeepSeek Model
    17:04 AI Outputs Lack Copyright Protection
    20:28 AI and Copyright Challenges
    22:31 SoftBank Boosts OpenAI Investment
    25:41 OpenAI Releases Free Advanced Model
    29:55 OpenAI's Internet-Connected AI Model

    Keywords:
    AI, DeepSeek's AI model, copyright ruling, OpenAI, reasoning model, o three Mini, AI infrastructure plan, Stargate, DeepSeek's hardware expenditure, SemiAnalysis report, NVIDIA, US economy, US National Security Council, distillation technique, Microsoft, Azure cloud service, Google Gemini, US copyright case, copyright law, SoftBank Group, funding round, chain of thought reasoning technique, AI agents, Oracle, supply chain management, Internet connection, code development, business intelligence, data, ChatGPTgov

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    AI agents have been all the buzz recently. But why AI agents? And why now? There's a lot going on under the surface. Scott Beechuk joins us to dive in deep and tell you what you need to know.

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    Join the discussion: Ask Jordan and Scott questions on AI

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

    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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    We're so quick to give AI access to see the world around us, but what are the dangers? And what are some powers that you're not aware of? We'll be sharing both as Michael Tiffany, Co-Founder and CEO of Fulcra Dynamics joins us to discuss.

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    Join the discussion: Ask Jordan and Michael questions on AI

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

    Topics Covered in This Episode:
    1. Power and danger of letting AI view your data
    2. Quick emergence of live AI technology
    3. Kill switch and intelligent data routing
    4. Local compute and orchestrations requirements

    Timestamps:
    00:00 AI Advances: Power and Privacy Concerns
    05:34 Fulkar: Pioneers in Streaming Data Storage
    08:09 "Hacker Cyborgs and AI Privacy"
    12:08 AI Surveillance and Privacy Concerns
    15:02 "Experimenting with Custom AI Assistant"
    16:40 Calendar and Location Data Insights
    21:46 "Smart Local Monitoring Strategies"
    24:09 Miniature AI Models Revolutionize Technology
    28:36 Experiment with Personal AI Control

    Keywords:
    Generative AI, AI technology, Google Gemini Live, Gemini's AI, AI agent, Microsoft Copilot Vision, personal data, privacy, data security, artificial general intelligence, superintelligence, live technology, AI observability, AI assistance, AI models, multimodal models, world models, local inference, edge AI, small language models, Frontier models, cloud-based models, Enterprise software, on-premise software, Cloud Software, AI Orchestration, Local Compute, Hardware, Biohacking, Personal Data Control

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  • Send Everyday AI and Jordan a text message

    What AI tools or features should your company be using in 2025? We'll save you like 254 hours by telling you the Top AI Features and Tools of 2024. (And ranking the ones that are most useful for your biz.)

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    Join the discussion: Ask Jordan questions on AI

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

    Topics Covered in This Episode:
    1. Top AI Tools and Features Discussion
    2. AI Tools of the Year & Rankings
    3. In-depth Discussion of Specific Tools
    4. AI Industry Overview

    Timestamps:
    00:00 Network with tech professionals; explore AI tools.
    10:16 Share show for AI tools honorable mention.
    12:32 Siri uses ChatGPT for complex queries.
    18:09 Inline AI enhances collaborative document editing efficiently.
    23:23 ChatGPT search tool flawed after limited beta.
    31:06 Cursor went viral as first user-friendly AI.
    34:52 Google excelled with Gemini 2.0 updates.
    37:56 Google deep research: fast, comprehensive answers engine.
    46:17 Use Microsoft 365 Copilot Studio for automation.
    50:03 Microsoft Copilot Vision simplifies travel bookings. Limited.
    55:32 Iterative prompting guides advanced language models.
    01:02:47 Gemini app enables video and voice interaction.
    01:07:42 Google's Veo AI video tool released, concerns remain.
    01:13:52 Notebook LM prioritizes trust and transparency in AI.
    01:15:49 Top AI tools and features 2024 list.

    Keywords:
    Jordan Wilson, live stream, AI tools ranking, people's choice award, Midjourney v6.1, Microsoft Copilot Studio, Copilot Vision, Notebook LM, Sora, Veo 2, Zapier Agents, AI tool tiers, podcast, AI developments, generative AI, AI tool selection, AI tool ratings, AI 2024, audience participation, Claude's Artifacts, Claude Computer Use, Cursor AI, 11 Labs conversational agents, Google Gemini 2.0, Google Deep Research, HeyGen's new v3 avatars, AI in documents, Canva's Magic Studio, Chat GPT's new search, OpenAI's 01 Pro.

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    Wondering if Claude's latest agentic AI is worth it? Computer Use is an agentic AI system that allows you to operate a virtual computer simply by speaking with Claude. We dive in and explain how it works.

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    Join the discussion: Ask Jordan questions on Claude AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. 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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    One side of the coin — AI can make it VERY hard to compete when starting a new company.

    Other side of the coin — AI can make it MUCH easier to compete when starting a new company.

    Rajesh Kandaswamy knows the path.

    After spending a decade as a VP and researcher at Gartner, Rajesh learned a few things about building an AI-native company.

    He sharing the ins and outs of what it takes to build an AI-first company from the ground up.

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    Join the discussion: Ask Jordan and Rajesh questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. AI First Approach
    2. Nourish: An AI-Driven Nutrition App
    3. Building with AI from Day One
    4. Overcoming AI Challenges
    5. Future of Organizations and AI Agents

    Timestamps:
    00:00 Nourish: AI Diet Tracking App
    05:12 AI Transforms Multimodal Communication
    08:30 AI-First Organizational Revolution
    13:17 AI Partnership for Business Growth
    15:01 Future of Affordable and Fast Computing
    20:15 Adjusting to AI with Openness
    23:30 Embrace Change, Rethink GenAI Limits
    26:03 AI Agents Revolutionizing Business Efficiency

    Keywords:
    AI first company, Gen AI, Large Language Models, technology trends, Gartner, AI agents, AI implementation, nutrition, Nourish, AI first app, tracking food intake, obesity, technological evolution, Value Prop Approach, Agentic AI, hallucination issue in AI, high school interns, digital technology, Commercial Agents, inevitability in technology, AI resources, automatization, organizational models, industrial revolution, AI reliability, investing in AI, machine's intelligence, AI and human processes, company growth, AI strategy.

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    Everything in your current AI playbook is about to get shredded, stomped on, and turned into digital confetti.

    I've spent 2024 living in the bleeding edge of AI development, meticulously tracking AI’s development as my full-time job.

    And what's coming next….. yikes.

    ↳ We're entering an era where AI doesn't just chat – it REMEMBERS.
    ↳ Where what us humans know becomes kinda worthless. (Or at least worth less.)
    ↳ Where specialized models hit harder than a triple espresso shot.
    ↳ Where different AIs team up like some digital Avengers squad.

    And AGI?

    It might just slip through the door while everyone's busy debating if it's possible.

    We're peeling back the silicon curtain on the last and final installment of our 2025 AI Predictions and Roadmap: AI's Technical Leaps: Memory, Models, and Major Changes.

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    Join the discussion: Ask Jordan questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Narrow AI Agents
    2. LLM Memory
    3. LLMs Becoming Small Language Models
    4. Mixture of Models
    5. AGI is Achieved

    Timestamps:
    00:00 Live Insights and Trend Spotting
    06:25 "Seeking Feedback for Newsletter"
    07:44 AGI: Not Coming Anytime Soon
    11:11 AI Memory and Context Windows
    15:25 "Microsoft's GPT-4 Mini Revelation"
    18:32 Open Source Models' Future Evolution
    20:47 Small Models Surpassing Larger Ones
    25:37 "AGI Achieved? Debating OpenAI's Claim"
    28:35 AGI Achieved: Minimal Immediate Impact

    Keywords:
    AI predictions, AGI, artificial general intelligence, large language models, dumb AI, technical leaps, memory models, everyday AI, AI trends, free daily newsletter, AI experts, podcasts, Microsoft, Google, OpenAI, IBM, agent orchestrators, public companies, AI agents, company reasoning data collection, API prices, AI video tools, AI influencers, AI software, AI regulations, narrow AI agents, LLM memory, context window, OpenAI's memory feature, mixture of models.

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    After testing every major AI development and seeing what actually works (and what's just expensive snake oil pushed by know-nothings online)… lemme tell you what 2025's bringing to the table:

    ↳ Regular humans like Jan are about to become kingmakers.
    ↳ Not just "I-can-use-Canva" queens.
    ↳ We're talking "I-just-built-an-entire-software-suite-that-3X’ed-our-sales” friggin royalty.

    We're exposing the REAL future of business tech in Vol 4 of our 2025 AI Predictions and roadmap series: Your Complete AI Toolkit.

    Miss this one and you'll be the last company still waiting for IT while your competition clones your 2026 roadmap and goes to market in 3 days.

    The code barrier is DEAD. Time to learn how to play in a world where everyone's a builder and the rules …. Aren’t really there.

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    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Non-techies Gets Smarter
    2. Reasoning wrappers
    3. Virtual machines
    4. Politicization of AI
    5. Global AI Regulation

    Timestamps:
    00:00 Evolving AI Toolkit: Future Changes
    05:24 Predicting Likely Outcomes Live
    08:44 Future of App Development Trends
    12:04 Adapting to Emerging Reasoning Models
    13:29 "Evolution of AI Models"
    19:27 Musk's Controversial Government Role
    23:29 "Stricter Global AI Regulations Emerging"
    24:39 AI's Impact on Global Power

    Keywords:
    SEO assistant, AI tools, large language models, artificial intelligence, AI toolkit, generative AI, AI predictions, AI influencers, software development, non-technical people, AI applications, GitHub Copilot, Cursor, Windsurfer, Lovable, AI models, reasoning data collection, virtual machines, Windows 365 link, Google's Project Mariner, OpenAI's operator, EU act, AI accountability laws, artificial general intelligence, superintelligence, AI regulation, business applications, natural language processing, structured data, unstructured data.

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    After spending 2024 watching EVERY major AI video launch, testing hundreds of tools and features, and consulting for content teams worldwide... let me drop some sweet truth that might taste sour.

    The content game your biz has been playing the last few years? It's about to get CTRL-ALT-DELETED.

    What's coming in 2025?

    ↳ I'm talking AI spinning up ENTIRE VIDEO CAMPAIGNS while your marketing team is still scheduling their next brainstorm.
    ↳ Social feeds so flooded with deepfakes, your customers won't know what's real.
    ↳ And that massive copyright case? It's about to rewrite how EVERY company thinks about content ownership.

    We’re breaking down the future of business content in Vol 3 of our 2025 AI Predictions series: Content's AI Revolution.

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    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Future of AI video tools
    2. Social Media and AI
    3. AI copyright case
    4. AI influencers
    5. Rise of AI media

    Timestamps:
    00:00 AI content in 2025
    06:09 AI Images: Reality or Illusion?
    09:45 Future of Traditional Internet Questioned
    10:29 "AI Dominates Future Web Content"
    14:03 Search Engines Impact Online Monetization
    18:38 Deepfake Dangers for Teens
    21:34 AI Models and Copyright Disputes
    24:34 "UGC's Influence Over AI Trends"
    26:08 "2025 AI Predictions Recap"

    Keywords:
    Jordan Wilson, content change, 2025, generative AI, content creation, content distribution, media, Everyday AI, AI Predictions, Content AI Revolution, Videos, Streams, Stars, AI video tools, advanced personalized media, APM, Google Veo, AI content generation, social media, deepfake AI, copyright case, AI influencers, UGC content, OpenAI, Microsoft, New York Times, copyright law, AI regurgitation, embodied AI, AI newsletters, AI photo generator, AI livestream podcast.

    Ready for ROI on GenAI? Go to youreverydayai.com/partner 

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    The entire AI market is about to go super-friggin-nova in 2025.

    ↳ I'm not just talking about open source throwing hands with Big Tech (though THAT'S happening).
    ↳ I'm talking about tectonic shifts that are going to reshape who holds the power, who pays what, how LLMs will work and who's about to get LEFT BEHIND.
    ↳ From API prices falling through the floor to embodied AI stepping out of sci-fi and into your office – the next wave makes ChatGPT's launch look kinda like a kiddy splash pool.

    I'm sharing the REAL market forces at play in Vol 2 of our 2025 AI Predictions series: AI Market Forces Collide.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Prediction of Open Source Models
    2. Chinese AI Influence
    3. Future of Perplexity
    4. Drop in API prices
    5. Rise of Embodied AI

    Timestamps:
    00:00 Jordan's 2024 Predictions Explained
    03:28 "AI Market Forces Collide"
    09:25 Open Source Surge in AI Models
    10:29 Open Source Models Rising
    15:32 AI's Political Impact by 2025
    19:17 Google's New AI Search Tool
    21:53 Open Source Impact on AI Pricing
    22:58 Token Pricing Drop for GPT Models
    26:35 Embodied AI to Surpass Tesla

    Keywords:
    AI predictions, Artificial Intelligence, everyday AI, API, AI models, GPT-4, NVIDIA, GTC conference, generative AI, data collection, livestream, AI companies, AI agents, AI model prices, embodied AI, humanoids, OpenAI, Anthropic, Google Gemini, Perplexity, open source models, language models, Chinese AI, AI audio, aqua hire, large language models, autonomous vehicles, drones, wearable AI, robo taxis.

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  • Send Everyday AI and Jordan a text message

    You know those common good habits and best practices that have worked since the dawn of the digital age?

    Kiss all that goodbye in 2025 y’all. Your regularly scheduled reality is evolving. AI Agents aren't just changing HOW we work - they're changing who we ARE and what work even means.

    I’ve spent thousands of hours talking about Generative AI, interviewing hundreds of the world’s AI leaders at big companies like Microsoft, NVIDIA, Google, OpenAI, IBM and others.

    This week — I’m sharing what’s REALLY happening in our first-ever Podcast Series: 2025 AI Predictions: The Roadmap ahead.

    We kick off Monday with Vol 1 — Agents.

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    Join the discussion: Ask Jordan questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. AI Agents in 2025
    2. AI and Businesses in 2025
    3. Discussion on AI Job Market
    4. Universal Basic Income and AI

    Keywords:
    AI agents, professional services, AGI, UBI, AI predictions for 2025, Everyday AI, artificial intelligence, Jordan Wilson, companies, AI education, Microsoft Copilot Studios, Salesforce agent force, AI economy, public companies, AI jobs, agent orchestrators, unstructured data, structured data, reasoning models, AI adoption, AI-based companies, OpenAI, Microsoft, Google, IBM, large language models, generative AI, agent systems, AI reasoning, AI technology.

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    With AI taking over, the internet is now broken. Can Google Gemini Deep Research fix it? Join us as we go over what Gemini Research is, how to use it, and if it's the future of how we use the internet.

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    Join the discussion: Ask Jordan questions on Google Gemini

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Google Gemini Deep Research Capabilities
    2. AI Tools and Deep Research
    3. Comparison of AI Research Tools
    4. AI Research Implications
    5. AI's Impact on Traditional Access to Information

    Timestamps:
    01:35 Google Deep Research
    04:42 Gemini XP 1206: Improved performance, requires subscription.
    07:40 Google Gemini's front end wasn't user-friendly.
    12:00 Google deep research simplifies information gathering online.
    14:31 Mobile access 2025; Perplexity vs ChatGPT search.
    17:40 Generative AI struggles with complex unrelated tasks.
    21:17 Gemini not available on many workspace accounts.
    23:27 OpenAI and Google released significant AI updates.
    28:10 Open in Google Docs; not deep research.
    29:53 Google Gemini UI/UX praised as excellent.
    34:06 Google Gemini front-end broken, backend impressive.
    37:56 Research US tiny house communities comprehensively, please.
    41:11 OpenAI and Google released numerous AI updates.
    45:13 Base models average; Gemini outperforms with A-.
    47:53 Comprehensive guide highlighting tiny house communities nationwide.
    51:54 Optimize hours for 10x results, minimal research.
    54:00 Content monetization challenges with AI disruptors looming.

    Keywords:
    Jordan Wilson, AI tools, deep research, split test, tiny house communities, ChatGPT, Perplexity, Google's Gemini, AI product releases, research capabilities, reasoning mode, content generation, research efficiency, AI in content creation, AI-generated content errors, AI tools popularity, ad share model, Google Docs, OpenAI, multimedia content, Google Gemini Deep Research, podcast, NVIDIA Jetson Orin Nano Super Developer Kit, Salesforce Hiring Expansion, large language models, internet data, multi-step research tasks, audience interaction, Google Gemini's subscription, iterative prompting.

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    Send Everyday AI and Jordan a text message

    ChatGPT's new 'Task' mode is here. Is this some gimmicky feature that'll get glazed over? Or a small step toward Operator, OpenAI's upcoming agentic release? We dive in to find out.

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    Join the discussion: Ask Jordan questions on the o1 pro model

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:

    1. Difference between transformer models and reasoners
    2. OpenAI's new reasoning model, o1 Pro
    3. Different variations of o1
    4. Use-cases for o1 pro
    5. ChatGPT Plus Overview: What's included for $200


    Timestamps:
    00:00 Exploring OpenAI's O One Pro

    05:23 Pay-Per-Use Microsoft AI Unveiled

    11:18 GPT Subscription Plan Comparison

    17:01 OpenAI's New Model Releases

    22:48 GPT-4.0 vs. Pro: Speed vs. Tools

    26:05 OpenAI's Affordable Pricing Debate

    36:25 Podcast Content Longevity Analysis

    37:12 "Evaluating AI Use Case Data"

    46:06 AI Milestones and Google's Misstep

    52:37 AI Usage Efficiency Comparison

    57:10 Multitasking in AI-Driven Work

    01:01:14 AGI Prediction and Tool Access

    01:03:50 "o One's Efficiency Advantage"



    Keywords:
    chatgpt, chatgpt podcast, learn chatgpt, o1, o3, o1 pro, openai podcast, openai o1 pro, agentic, chatgpt tasks, gemini, copilot, ai news, generative ai

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

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    ChatGPT's new 'Task' mode is here. Is this some gimmicky feature that'll get glazed over? Or a small step toward Operator, OpenAI's upcoming agentic release? We dive in to find out.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on ChatGPT

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

    Topics Covered in This Episode:
    1. Importance of Context Tasking
    3. Task Management in ChatGPT
    2. Utility of ChatGPT's Task Feature
    3. Limitations and Challenges
    4. Opportunities for Future Improvements
    5. Agentic AI and Task Automation

    Timestamps:
    03:00 Daily AI news
    05:17 OpenAI's Tasks update dominates today's AI news.
    08:51 Access requires subscription; clear cache, update app.
    13:15 GPT-4 tasks limited despite $200/month plan.
    17:08 Focus on practical, business-oriented AI applications.
    17:49 ChatGPT's autonomous tasks are foundational, powerful.
    21:46 Frustration with noisy, singing smart appliances daily.
    26:41 Converting prompts to tasks using ChatGPT.
    27:45 Research daily using chat and browser tools.
    33:10 Find top 3 relevant marketing news daily.
    34:29 Implement daily AI strategies; reference 2025 innovations.
    38:03 Custom instructions per chat require manual context.
    41:33 Notify big stock shifts, research reasons.
    46:19 Information processing with AI for accurate predictions.

    Keywords:
    ChatGPT, AI news updates, podcast data analysis, task feature in ChatGPT, OpenAI, personalized AI updates, daily AI news, task management, task stacking, agentic AI, autonomous task automation, task scheduling, GPT-4, repetitive task automation, OpenAI's dominance, context tasking, language models, AI workflow automation, technical limitations, task mode, 2025 AI predictions, Everyday AI, task manager interface, GPT-4 o, Jordan Wilson, podcast "Everyday AI", Cisco AI Defense, Apple Intelligence, advanced task schedules, task notifications.

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    Last year, I said don't touch the free version of ChatGPT with a 10-foot pole. Is it still THAT bad? A TON has changed since OpenAI's '12 days of Shipmas' in December. So is the free version of ChatGPT better? Or, are the new paid-only features TOO good to pass up?

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    Join the discussion: Ask Jordan questions on ChatGPT

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

    Topics Covered in This Episode:
    1. ChatGPT Features and Plans
    2. Alternatives to ChatGPT
    3. Shift in OpenAI's Goals
    4. Updates from OpenAI
    5. Model Usage and Limits
    6. ChatGPT Advice and Recommendations

    Timestamps:
    03:00 Daily AI news
    06:30 ChatGPT free vs. Paid
    08:18 Free ChatGPT version significantly improved model performance.
    10:00 Free ChatGPT is decent but not superior.
    15:03 They aim to replace Google with AI chatbots.
    17:22 Custom instructions streamline limited ChatGPT use.
    20:21 Canvas Mode enables inline AI document editing.
    25:44 Addressing ChatGPT questions; submit queries anytime.
    28:39 Google VO 2 superior; limited access available now.
    30:18 Free ChatGPT improved, but Plus requires payment.
    34:31 Google AI Studio: powerful, free, data-trained trade-off.
    37:40 Free ChatGPT exists, full features require payment.
    40:48 Google AI Studio best for literature reviews.
    44:33 Free version useful, but paid plan recommended.

    Keywords:
    ChatGPT, OpenAI, Everyday AI podcast, AI developments, AI news, AI infrastructure, AI use risks, AI applications, large language models, ChatGPT plans, GPT-4, ChatGPT free version, ChatGPT Pro, ChatGPT Plus, AI for business, AI data security, Gemini 2, Claude 35 SONET, GPT-4o, Anthropic, Google AI Studio, Meta Lama, Microsoft Copilot, Typing Mind, Microsoft CoreAI, model training, DALL-E Image Generator, Canvas Mode, AI chat tools, context windows

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    Is Microsoft laying off thousands because of AI? How did one small box from NVIDIA change the future of work? What are Google’s big AI shakeups? And why is OpenAI getting into humanoid robots? So many AI questions. We’ve got the AI answers with the AI news that matters.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

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

    Topics Covered in This Episode:
    1. OpenAI Robotics Department
    2. NVIDIA's AI Projects and Tech
    3. Google's AI Updates and AGI shift
    4. Microsoft's Open Source Model
    5. Meta speaks on AI and Software Engineering

    Timestamps:
    00:00 Daily AI news, podcast recaps, expert episodes.
    04:34 NVIDIA's CES keynote: Major AI GPU announcements.
    06:52 NVIDIA uses generative AI to enhance GPUs.
    12:19 Local powerful AI models enhance data security.
    16:10 NVIDIA forks Meta's Llama for enterprise AI.
    20:44 Google aims for AGI using advanced world models.
    22:34 Phi 4: Efficient, powerful, open-source AI model.
    25:35 Microsoft prioritizes retaining AI talent with bonuses.
    31:34 OpenAI revives robotics department for versatile robots.
    35:18 OpenAI urges US to secure AI investments.
    39:21 Observations connect over time; predictions often accurate.
    40:01 Prediction on AI agent numbers was impactful.

    Keywords:
    OpenAI, robotics, humanoid robots, adaptive robots, AI models, AI supercomputer, NVIDIA GPUs, DeepMind AI, Microsoft's open-source model, AI automation, Meta software engineering, US AI leadership, AI Predictions, AI industry news, RTX 50 series GPUs, Project Digits, NVIDIA's Grace Blackwell superchip, local AI computing, Cosmos, Isaac Robot Simulation, Nemotron Models, Enterprise AI, DeepMind's World Models, Google’s Artificial General Intelligence, Google AI projects, Microsoft layoffs, Microsoft Phi-4 model, Hugging Face, Coding automation, Meta's AI advancement.

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  • Send Everyday AI and Jordan a text message

    Do we need AI in a cat tree? Or in a beverage cooler or "smart grill"? Probably not. But that didn't stop the tech companies from trying to literally stuff AI into everything they could for this year's Consumer Electronics Show. There was actually a lot of new and exciting AI tech. Join us as we cover it all.

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    Join the discussion: Ask Jordan questions on AI

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

    Topics Covered in This Episode:
    1. CES Highlights
    2. Top Companies at CES
    3. Observations from CES

    Timestamps:
    00:00 CES filled with AI developments, noteworthy and unnecessary.

    06:02 NVIDIA's CES announcements impressive, major updates ahead.

    07:55 Ideal for AI researchers running large models.

    10:17 Samsung targets enterprise with AI-powered solutions.

    13:19 LG Furon AI: Personalized Home Automation Enhancements.

    18:14 Consulting firms embrace AI to remain competitive.

    21:45 Tech companies create AI models despite data gaps.

    24:13 Robotic arm vacuums by picking up objects.

    29:56 Prefers durable appliances over smart technology.

    30:56 Many AI announcements fail to materialize successfully.

    33:43 Concerns over AI appliances and privacy issues.

    39:39 Perfectcore launched innovative AI beauty solutions.

    40:23 Sign up for AI daily newsletter online.

    Keywords:
    Jordan Wilson, Everyday AI podcast, CES, Asus Zenbook 14, CyberLink, Perfectcore, Perfect GPT, AI hair solutions, YouCam, NVIDIA, Microsoft, AI systems, LG, Qualcomm, AI chatbots, AI-enabled hardware, NVIDIA Cosmos, AI in Homes, Samsung, Honda, BMW iDrive system, Withings Cardio mirror, Holmes AI platform, NVIDIA's Nemotron AI models, Microsoft's WorkLab podcast, TSMC, Grok app, CES Highlights, AI News, AI in Automotive

  • Send Everyday AI and Jordan a text message

    Your data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Barr questions on AI and data

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. the Importance of Data
    2. Challenges and Opportunities in Leveraging Data
    3. Adoption of Data Practices
    4. Data Use Case Examples
    5.Generative AI, LLMs, and Data Integration

    Timestamps:
    00:00 Empower AI proficiency with daily insights.
    06:02 Data observability ensures reliability and issue resolution.
    07:15 Understanding data's importance is crucial for businesses.
    13:07 Personalized AI relies on unique enterprise data.
    15:20 Large enterprises struggle with data consistency, smaller teams advantage.
    19:42 Generative AI analyzes sports data for insights.
    22:56 Personalized financial products using reliable data.
    23:56 Credit Karma Intune boosts external and internal productivity.
    28:02 Peak data reached; synthetic data becomes crucial.
    30:36 Recap available on your everydayai.com.

    Keywords:
    Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.