Everyday AI Podcast – An AI and ChatGPT Podcast

• EP 596: GPT-6 rumors, Elon recruited Meta for OpenAI takeover, and more AI News That Matters

  Google had so many wins in AI this week that it was hard to keep track.Yet their competitors.... not so much. ↳ OpenAI has already shifted the conversation to GPT-6 after a rocky GPT-5 rollout. ↳ Meta keeps reshuffling their AI teams and is reportedly on an AI hiring freeze. ↳ And Apple's AI prospects are getting so bleak that they might turn to their biggest competitor to get the job done.Don't waste hours a day trying to keep up with AI. Join Everyday AI on Mondays for the AI News That MattersNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:GPT-6 Rumors and Roadmap RevealedSam Altman Admits GPT-5 Rollout IssuesElon Musk, Meta, and OpenAI Legal ClashMusk’s $97B OpenAI Takeover Bid ExposedMIT Report: 95% AI Pilots Fail ROIAI Bubble Concerns Hit Enterprise AdoptionMicrosoft AI Chief Warns of Sentient AI RisksGoogle AI Mode Expands with Agentic FeaturesGemini for Home to Replace Google AssistantApple in Talks to Use Google Gemini for SiriMeta Freezes AI Hiring Amid RestructuringMeta and Midjourney Announce AI Visuals DealGoogle Teases Gemini Nano Banana AI ModelOpenAI Project Memory Enhances User ExperienceGoogle Photos Adds Conversational AI EditingOpenAI Integrates Gmail and Calendar SupportPerplexity and Eleven Labs Roll Out AI AgentsTimestamps:00:00 "OpenAI's GPT-5 Rollout Issues"05:44 Musk's Failed Bid for OpenAI07:20 Musk Sues Over OpenAI Structure13:32 "Risks of Attributing Sentience to AI"16:03 Google AI Offers Automated Reservations20:46 Google's Premium Features, Apple Lags22:29 Apple Considers AI Tech from Competitors27:16 Meta's AI Hiring and Cost Concerns31:05 AI Updates: Major Memory Innovations31:57 AI Enhances Gmail and CalendarKeywords:GPT-6, GPT 6 rumors, OpenAI, Sam Altman, GPT-5 rollout, GPT-5 backlash, GPT-4o, emotional bonds with AI, unhealthy AI relationships, model safety guardrails, user-controlled tone settings, AI capacity limits, GPU shortages, trillion-dollar data centers, Elon Musk, XAI, Grok, Meta, Mark Zuckerberg, OpenAI takeover bid, public benefits corporation, antitrust scrutiny, MIT AI study, generative AI pilots, AI ROI, enterprise AI adoption, AI bubble, AI workflow issues, AI psychosis, seemingly conscious AI, SCAI, Mustafa Suleiman, Microsoft AI, sentient AI risks, Google AI model updates, agentic search features, AI mode, Google Search, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

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• EP 595: Data First: The Strategic Playbook for AI Success

  You think using AI is your moat? Nope. Just using LLMs isn't enough to power your company's AI success. But do you know the real fuel? Having your data right is the ACTUAL key. So how do you do it? And how does your company's data strategy change with agentic AI? Find out from Deloitte's US Chief Data Analytics Officer, Ashish Verma.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Transformative Data Strategy for AI SuccessImportance of Data Strategy in AIDeloitte's Data Marketplace ApproachMulti-Agent Orchestration ChallengesStructured vs. Unstructured Data in AISynthetic Data and AI TransformationAgentic AI and Data Labeling EssentialsAI's Impact on Business Value ChainTimestamps:00:00 "AI Success Requires Data Strategy"05:27 Data Integration and Utilization Insights10:31 Contextual Data Marketplace Evolution13:06 Structuring Unstructured AI Insights17:02 Agent Reasoning and Orchestration Insights20:37 Data Annotation Challenges23:39 AI's Impact on Industry Evolution26:09 "Data Strategy: Begin with the End"Keywords:transformative data strategy, AI success, generative AI, non-technical people, data teams, data strategy, business leaders, companies, careers, unedited podcast, livestream, Deloitte, US chief data and analytics officer, data analytics, GenAI, data experiments, third-party data, synthetic data, data marketplace, data concierge, chief data officer, compute environment, deterministic, probabilistic, AI transformation, digital transformation, data minder, CFO, CMO, public domain data, business partner data, metadata, business glossary, technical catalog, agentic AI, multi-agent orchestration, agent registry, agent orchestration, open standard protocols, economic AI, digital transformation strategy, data advantages, structured data, unstructured data, hybrid data, PowerPoint, staffing optimization, resource management, query engine, relevance-ranked search, annotation, data regulation, governance, data procurement, data curation, data feeds, data platforms, information indexing, future predictions.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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• EP 594: Data Dreams & Digital Delusions: The role of AI in health tech

  Will more data solve AI hallucinations? Maybe. But what about the industries that have the most to gain (and lose) from AI transformation like healthcare? Join us as we dive deep into the role of data and transformation and what obstacles the healthcare industry still has to clear to turn their digital delusions into data dreams. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Trillion-Dollar Data Center Investments for AIGenerative AI Transforming Health Tech Use CasesAI and Physician Burnout SolutionsOrganizational Challenges: AI Literacy and EducationData Quality, Cleanliness, and Health Tech OutcomesTransparency and Accountability in Health Data PipelinesImportance of RAG (Retrieval Augmented Generation)AI Hallucinations and Patient Safety RisksOpen Source AI Models and Health Data PrivacyFuture Impacts of Large Language Model InvestmentsTimestamps:00:00 "Tech and Healthcare Evolution Insights"06:50 AI Investment and Data Challenges in Ghana09:48 Ensuring Accurate, Real-Time Data Retrieval13:18 "Building Transparent GenAI Models"15:54 Prior Authorization Ensures Claims Accuracy18:34 Responsible Data Management Challenges22:45 AI Data Accuracy and Consequences25:04 Data Transparency and Accuracy ImperativeKeywords:Generative AI in health tech, artificial intelligence in healthcare, large language models, data center investment, AI hallucinations, data quality, retrieval augmented generation (RAG), physician burnout, AI-powered clinical notes, medical imaging AI, HR workforce optimization, health tech digital transformation, healthcare data privacy, healthcare data security, AI model training, AI education, data literacy, operational efficiency in healthcare, sustainable data centers, environmental impact of data centers, transparency in AI, data trustworthiness, real-time data extraction, cross-checking AI outputs, patient outcomes, healthcare regulations, high-stakes AI industries, open source AI models, AI supply chain management, healthcare claims denial, prior authorization automation, grounding AI models, human-in-the-loop in AI, data accuracy, precision in healthcare AI, medical decision making AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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• EP 593: Google Opal: The Simplest Vibe Coding Ever? How to Use It

  There's millions of people who want to vibe code -- but don't know where to get started.After all... vibe coding tools often are still full-stack enterprise powerhouses with a steep uphill learning curve. If only there were a simpler vibe coding platform that didn't even have code. That's Google Opal. And for this rendition of AI at Work Wednesday, we show you how to use Google's Opal to create simple apps that tackle some of your most repetitive, redundant tasks.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Google Opal Vibe Coding Tool OverviewHow to Use Google Opal: Step-by-StepOpal vs. Cursor, Replit, Copilot ComparisonBuilding No-Code AI Apps with OpalGoogle Opal Natural Language Workflow CreationOpal for Task-Based AI App DevelopmentGoogle Opal Beta Features and LimitationsPrebuilt Google Opal Apps and TemplatesVisual Editor and App Sharing in OpalOpal’s Integration with Gemini AI ModelsTimestamps:00:00 "Everyday AI for Business Leaders"04:34 "Opal: Easy No-Code AI Apps"07:33 "Validate Ideas Before Full Development"11:25 Interactive Canvas with Chat Integration14:36 "Podcast: Interactive Instruction Feature"19:13 Efficient Research for Timely Episodes22:16 "Real-Time Deep Research Process"24:20 "Trends in Smaller Language Models"29:05 Improving Podcast Visual Strategies30:58 Remixing Apps with Google Opal35:45 "No-Code Opal Revolutionizes MVP Development"37:11 "Opal Tool Demos for Users"Keywords:Google Opal, Opal vibe coding, vibe coding tool, no code AI, Google AI, Google Labs, natural language app builder, AI app generator, AI workflow automation, task apps, visual app builder, Google Gemini, Gemini app, AI chaining, Google AI models, Gemini 2.5, Gemini Pro, Gemini Flash, AI image generation, VO3, audio LM, Lyria 2, multimodal AI, deep research, interactive web application, app editor, Opal gallery, prebuilt AI apps, app remixing, AI output customization, AI for nontechnical users, AI chaining tools, Google Jules, Cursor, GitHub CopilotSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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• EP 592: Meta’s AI Under Fire: How Bots Crossed into Romantic Territory with Minors

  Meta encouraged its chatbots to talk sensually with minors.Yes.... that actually happened. And as troubling as that is, it's actually the motive that might be even more infuriating and nauseating. Yeah.... we've got hot takes on this one y'all. Don't miss it. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Meta AI Sensual Chatbot Scandal OverviewReuters Exposes Meta AI Engaging MinorsMeta's Internal Document Approves Romantic Child ChatsCongressional Investigation Into Meta AI PolicyTimeline: Meta AI Policy Development & BacklashMeta AI Chatbot Approval by Senior LeadershipMeta Removes Problematic AI Guidelines Post-ReutersIndustry Calls for AI Child Safety RegulationTimestamps:00:00 Meta Under Fire for AI Scandal04:32 Meta and OpenAI's AI Strategies08:10 "Meta AI Bots' Inappropriate Conduct"10:24 Meta's Controversial AI Standards Revealed14:15 "Meta's Influence on Future Generations"18:47 Inappropriate Child Role Playing Concerns22:31 Zuckerberg Pressured for Risky AI Engagement25:40 Meta AI Chatbot Controversy28:43 Senator Investigates Meta's AI Practices33:44 Accountability for Big Tech with Minors35:23 Unified Safety Policy for Minors38:15 Call to Action for ChangeKeywords:Meta AI, Meta chatbot scandal, AI chatbots with minors, Meta AI controversy, Meta policy document, Gen AI Content Risk Standards, Facebook AI bots, Instagram AI bots, WhatsApp AI bots, AI Personas, Meta AI Assistant, child safety and AI, AI regulation, Congressional investigation Meta, AI safeguards for minors, Mark Zuckerberg AI strategy, AI engagement over safety, Reuters Meta report, Wall Street Journal Meta chatbot, celebrity AI chatbots, John Cena AI bot, AI guideline transparency, tech company accountability, children online safety, Kids Online Safety Act, AI ethics, chief ethicist Meta, AI model training, parental control and AI, AI transparency, AI policy guidelines, minors and generative AI, social media and AI bots, responsible AI use, AI in social networks, AI and youth safety, federal lawSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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