Everyday AI Podcast – An AI and ChatGPT Podcast

• EP 560: Inside Multi-Agentic AI: 3 Critical Risks and How to Navigate Them

  Multi-agentic AI is rewriting the future of work.... but are we racing ahead without checking for warning signs?Microsoft’s new agent systems can split up work, make choices, and act on their own. The possibilities? Massive.But it's not without risks, which is why you NEED to listen to Sarah Bird. She's the Chief Product Officer of Responsible AI at Microsoft and is constantly building out safer agentic AI. So what’s really at stake when AIs start making decisions together?And how do you actually stay in control?We’re pulling back the curtain on the 3 critical risks of multi-agentic AI and unveiling the playbook to navigate them safely.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:Responsible AI: Evolution and ChallengesAgentic AI's Ethical ImplicationsMulti-Agentic AI Responsibility ShiftMicrosoft’s AI Governance StrategiesTesting Multi-Agentic Risks and PatternsAgentic AI: Future Workforce SkillsObservability in Multi-Agentic SystemsThree Risk Categories in AI ImplementationTimestamps:00:00 Evolving Challenges in Responsible AI05:50 Agent Technology: Benefits and Risks09:27 Complex System Governance and Observability12:26 AI Monitoring and Human Intervention15:14 Essential Testing for Trust Building19:43 Securing AI Agents with Entra22:06 Exploring Human-AI Interface Innovation26:06 AI Workforce Integration Challenges28:22 AI's Transformative Impact on JobsKeywords:Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.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 559: ChatGPT’s Updated Custom GPTs: What’s New and How They Work

  Wanna hear a lil secret?You (likely) have no clue what custom GPTs are capable of inside of ChatGPT. OpenAI just updated their capabilities, yet no one's talking about it. Why? The original hype and hoopla from their late 2023 launched fizzled and faded away, and now many AI users have written GPTs off. Big mistake. You won't believe what the newly upgraded GPTs are capable of.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Custom GPTs Launch & Initial ReceptionUpdated OpenAI Custom GPT CapabilitiesExpanded Model Support for Custom GPTsBusiness Applications of Custom GPT UpdatesLive Demo of New Custom GPT FeaturesInsight Synthesizer GPT’s Unique AbilitiesMeeting Actionizer GPT for Business EfficiencyPersonalizing with the Updated GPT ModelsTimestamps:00:00 "Upgraded Custom GPTs Revolution"04:52 GPT Building: Web Access Only06:46 "Podcast Rambling Concerns"09:56 Benefits of Using Custom GPTs13:18 Using Custom GPTs and GPT Store17:16 Simple AI Tool Usage Guide21:32 Custom ChatGPT Limitations Explained25:17 Exploring AI's Efficiency in Tasks27:06 "AI Impact Dashboard for 2025"32:03 GPT-4 vs. GPT-3: Agentic Abilities35:33 Reasoning Models Enhance Meeting Analysis36:53 AI Meeting Summary Features40:40 Personalized NVIDIA Stock Insights42:38 GPT Custom Models: New DevelopmentsKeywords:Custom GPTs, OpenAI updates, Expanded model support, No code creation, Custom actions, GPT store, Enterprise rollout, Recommended model, O3 model, O3 Pro model, GPT-4.5, Data storytelling, AI humanizer, Multimodal capabilities, Sentiment analysis, Thematic clustering, Research analyst, Meeting actionizer, Personalized learning architect, Financial snapshot, Web search, Canvas mode, Python coding, Boolean search, AGSentic reasoning, Chain of thought, Knowledge files, Fine-tuning, Domain expertise, Automated workflows, Generative AI, Creative marketing, Information synthesis, Meeting analysis, Decision automation, Webhooks, APIs, Knowledge tokenization.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 558: Apple cooked on AI? Apple's Siri failure and the end of its AI innovation

  Apple is gonna pay their competitors to do AI for them. Yiiiiikes. A recent Bloomberg report detailed Apple's failures to build a smart AI Siri and how they may instead hire OpenAI or Anthropic to do the job for them. Our take? You know we're bringing the fire for this #HotTakeTuesday.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Apple's Generative AI Struggles AnalyzedBloomberg Report on Apple's AI PlansApple's AI Strategy Shift with CompetitorsSiri Development Challenges & DelaysApple's AI Failures & Class Action LawsuitsFuture of Apple's AI Innovation DiscussedAnthropic & OpenAI's Role in Apple's AIApple's AI Outsourcing Strategic ImpactTimestamps:00:00 "Everyday AI: Podcast & Newsletter"05:57 "Delayed AI Siri Release"09:41 Apple's AI Struggles Revealed10:47 "Apple's Siri Relies on ChatGPT"16:57 Apple Faces Costly AI Negotiations17:58 Amazon Partners with Anthropic for Alexa23:47 AI Strategy and Training Solutions26:39 Google and Apple's AI Divergence31:27 Meta Advances, Apple Lags in AI32:48 AI Setbacks Could Cost Apple Market CapKeywords:Apple AI, generative AI, Bloomberg report, AI-powered Siri, Apple's AI failure, Siri assistant, strategic pivot, OpenAI, anthropic partnership, Apple innovation, AI development disasters, internal development, Alexa partnership, gen emojis, Apple intelligence, Apple WWDC, AI efforts, smarter Siri, AI redemption story, AI pioneer, industry laggard, privacy narrative, class action lawsuits, vertical integration, small language models, edge AI, on-device AI, AI integration, market cap, AI investment, Meta Superintelligence Labs, Tim Cook, CEO Apple, AI dependency.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 557: OpenAI and Meta's war on AI talent, will Gemini CLI kill Claude Code? AI News That Matters

  The AI drama is full tilt!↳ Meta and OpenAI have all but declared a war on top tech talent. ↳ Google released a free AI coding tool that will likely make huge cuts into Claude's customer base. ↳ Salesforce says AI is doing their own jobs for them. And that's just the tip of the AI iceberg y'all. Don't waste hours a day trying to keep up with AI. Instead, join us on Mondays as we bring you the AI News That Matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:AI Talent War: Meta vs. OpenAIAI Firms and Copyright Lawsuits UpdateOpenAI Trademark Battle with IOEleven Labs' New Voice AI LaunchUS Senate AI Regulation DealAnthropic's Claude Platform Features UpdateSalesforce's AI Workload IntegrationGoogle Gemini CLI Free Coding ToolMeta's Aggressive AI Talent RecruitmentOpenAI's Strategy to Retain ResearchersTimestamps:00:00 "AI News: Weekly and Daily Updates"03:12 AI Copyright Lawsuits: Early Rulings09:18 OpenAI-IO Trademark Dispute Unveiled12:23 Futile Lawsuit Against New Gadget14:21 "11 AI: Voice-Activated Task Assistant"17:37 "AI Strategy and Education Solutions"21:54 Federal AI Funding and State Regulation25:05 States Must Forego AI Regulation28:18 Anthropic Updates Claude with Artifacts31:23 Claude vs. Google Usage Limits37:17 Google Disrupts Coding with Free Tool40:17 Meta's AI Talent and Business Strategy44:20 OpenAI Responds to Meta Poaching45:49 AI Developments: LLaMA and Grok Updates49:14 OpenAI Faces Lawsuit Over IOKeywords:AI talent war, Meta, OpenAI, Federal judges ruling, California federal judges, Copyrighted books, Anthropic, Meta's legal win, Sarah Silverman, US Supreme Court, Intellectual property rights, New York Times vs OpenAI, Disney lawsuit, Universal lawsuit, Midjourney, State AI regulation, Federal funding, US Senate, Ten-year ban, Five-year ban, AI infrastructure, Federal AI funds, Sam Altman, IO hardware startup, Trademark battle, Hardware device, Eleven Labs, 11 AI, Voice assistant, Voice command execution, MCP, Salesforce, Marc Benioff, AI workload, AI agents, Anthropic Claude update, Artifacts feature, Artifact embedding, Salesforce customer service, Command line interface, Gemini CLI, Gemini 2.5 pro, Coding tools, Desktop coding agent, Meta poaching, Superintelligence lab, AI researchers, Meta's aggressive recruitment, Llama four, Llama 4.5, Microsoft, Anthropic, Google Gemini scheduled tasks, GoogleSend 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 556: Choosing the Right AI:  Agents, LLMs, or Algorithms?

  Everyone wants the latest and greatest AI buzzword. But at what cost? And what the heck is the difference between algos, LLMs, and agents anyway? Tune in to find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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