The Boring AI Show

In this episode...Tim and Tally take on a packed week in AI, where questions about safety, governance, regulation, and rapidly advancing models are getting harder to separate from the hype.The conversation starts with a lesson carried forward from the Medicaid Enterprise Systems Conference: organizations rarely get unlimited time to prepare for new technology expectations. Whether the pressure comes from legislation, leadership, customers, or the market, the groundwork for responsible AI adoption often has to begin before the mandate arrives.From there, Tim and Tally explore some of the biggest conversations unfolding across the AI industry, including new warnings from researchers working at the frontier, renewed debate around AI safety, and the arrival of increasingly capable models being described in terms of artificial general intelligence.Rather than trying to predict exactly where AI is headed, the episode focuses on the questions organizations can act on now: What guardrails should be in place? Who should be responsible for them? How should businesses evaluate increasingly powerful technology? And how do you separate meaningful progress from an increasingly noisy hype cycle?Topics CoveredAI guardrails and responsible adoptionPreparing for technology mandates before they arriveMedicaid technology modernizationH.R. 1 and organizational readinessData quality and data infrastructureAI governanceAI safety and oversightThe pace of frontier AI developmentCompetition between AI companiesAI regulation and public policyNational and global AI governanceArtificial general intelligence, or AGIGPT-6 AstraDefining AGI and what it means for businessesAI hype cycles and technology marketingThe economics of AI adoptionComputer-use AI systemsCybersecurity considerations for AI agentsHuman oversight and organizational controlsVendor and technology riskAligning technology partners with organizational valuesOn-device AI and privacyConsumer and organizational influence over technology companiesQuantum computing and technological competitionResourcesAI News and Commentary MentionedNicholas Thompson on the Anthropic AI Safety DiscussionOpenAIAnthropicGPT-6 AstraEvents and Government Resources MentionedMedicaid Enterprise Systems ConferenceCenters for Medicare & Medicaid ServicesMedicaid.govU.S. Nuclear Regulatory CommissionOrganizations and Companies MentionedMind Over MachinesOpenAIAnthropicAppleTools and Technologies MentionedChatGPTClaudeBlenderGPT-6 AstraArtificial general intelligence, or AGIAI agentsComputer useLarge language modelsOn-device AIAI governanceAI safetyData governanceCybersecurityQuantum computingSend us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this special edition...Tim is joined by Tally, Sandra Warner, and Sam Hopkins for a recap of the Medicaid Enterprise Systems Conference.After a week on the conference floor in Portland, the team brings Tim up to speed on what they heard from Medicaid leaders, federal partners, vendors, and public servants working through the next wave of Medicaid technology modernization.The conversation gives listeners a practical look at the themes shaping the Medicaid enterprise space, from data readiness and procurement to AI, governance, change management, and the importance of keeping people at the center of transformation.Throughout the episode, one theme keeps resurfacing: successful technology work starts with a clear mission. Before jumping into tools or solutions, organizations need to understand the problem, align around the people they serve, and build the foundation needed for meaningful, sustainable change.Topics CoveredMedicaid Enterprise Systems Conference recapMedicaid technology modernizationWhy strategy should come before technologyState Medicaid agency differences and shared challengesProcurement and financial stewardshipData maturity, data cleansing, and reliable data foundationsAI governance and responsible implementationHuman-in-the-loop AIChange management and workforce developmentVendor alignment around a shared missionAI use cases for Medicaid agenciesIVR and AI-assisted call center routingAI as a second set of eyes for data reviewSupporting smaller or shrinking workforces with AIQuantum computing as a future readiness topicResourcesEvents and Resources MentionedMedicaid Enterprise Systems Conference 2026 MESC 2026 Event Page Mind Over Machines at MESC 2026 Using AI to Ensure Vendor Harmony with RFPsOrganizations MentionedMind Over MachinesMedicaid Enterprise Systems ConferenceCenters for Medicare & Medicaid ServicesMedicaid.govOregon Convention CenterPowell’s BooksTennCareOak Ridge National LaboratoryTools and Technologies MentionedChatGPTClaudeMicrosoft CopilotElevenLabsTwilioInteractive Voice Response, or IVRAI agentsVoice-to-textData governanceAI governanceQuantum computingSend us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this midweek update...The Boring AI Show checks in live from MESC 2026 for a quick real-time recap from the conference floor.Tally is joined by Ken Lawrence and Sandra Warner from Mind Over Machines to share a few early themes emerging across the Medicaid technology space, from modernization and data strategy to change management, procurement, and the human side of transformation.Rather than a full conference wrap-up, this episode offers a quick pulse check on what the team is hearing, what conversations are standing out, and why practical implementation matters just as much as big technology ideas.Throughout the episode, one theme comes through clearly: successful Medicaid technology work depends on strong data, thoughtful change management, and keeping people involved from the very beginning.Send us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this episode...Tim and Tally explore a deceptively simple question: What work is best suited for people, and what work should be handled by AI? Rather than treating the decision as a competition between humans and machines, they consider how the two can work together—and why the right balance may look different across organizations, teams, and individual tasks.The conversation examines how culture, risk, responsibility, and the intended experience all influence where AI belongs in a process. A tool may be capable of performing a task, but that does not automatically mean an organization should delegate it. From customer service and employee onboarding to document review and decision support, Tim and Tally discuss the questions teams should ask before deciding how much responsibility to give a machine.They also break down the differences between AI assistants, autonomous systems, and agents, along with the oversight each requires. The discussion moves beyond simply adding AI to an existing workflow and considers how organizations can thoughtfully redesign work around the strengths of both people and technology.Throughout the episode, Tim and Tally return to the idea that human and AI involvement is better understood as a slider than a switch. Finding the right position requires more than choosing a tool—it requires clarity about the task, the desired outcome, the acceptable risks, and where human judgment still matters most.Topics CoveredHuman and AI collaboration versus human-versus-machine thinkingDetermining which work should remain human-ledAI-led work with human oversightHuman-led work with AI assistanceTasks that may not be appropriate for AIOrganizational culture and acceptable AI useCustomer and employee experienceHR onboarding and AI-assisted hiringHuman bias and algorithmic biasResume screening and compensating controlsHuman review, quality checks, and accountabilityAI hallucinations and realistic expectationsUsing AI for sensitive or high-stakes decisionsAI summarization and document reviewReengineering processes around AI capabilitiesThe human–AI slider at the task levelAI assistants, autonomous systems, and agentsAudit logs and oversight for automated workflowsRole-based access to advanced AI capabilitiesUsing AI to prioritize work and reduce context switchingCreating fictional companies and sample data for workshopsUsing AI-generated content to make learning more immersiveResourcesResearch and References MentionedDo You Mind if I Ask You a Personal Question? How AI Service Agents Alter Consumer Self-DisclosureNIST Artificial Intelligence Risk Management FrameworkWaymo Arrives in Denver to Prepare for Future Autonomous ServiceMicrosoft Northwind Sample DatabaseMicrosoft Contoso Regional Sales SampleOrganizations MentionedMind Over MachinesMicrosoftOpenAIAnthropicAdobeElevenLabsWaymoServiceNowMiroNational Institute of Standards and TechnologyREI Co-opCostcoTools and Technologies MentionedChatGPTClaudeMicrosoft 365 CopilotMicrosoft Power AutomateMicrosoft PowerPointMicrosoft Word Read AloudServiceNow AI AgentsMiroAdobe Firefly BoardsElevenReaderElevenLabs AgentsWaymo DriverRobotic Process AutomationAI assistantsAutonomous AI systemsAI agentsSend us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this episode...Tim and Tally sit down to tackle one of the most requested topics on The Boring AI Show: AI governance. While governance may sound like a dry policy conversation, the episode quickly turns into a practical discussion about trust, risk, responsibility, and what it really takes to bring AI into an organization without creating avoidable surprises.The episode starts with AI news stories that set up the broader theme. From AI literacy efforts in education to a brand mishap involving AI-generated marketing, Tim and Tally explore why organizations need more than enthusiasm when adopting AI. They need shared rules, clear expectations, and a thoughtful understanding of where AI fits into their culture, values, and daily work.The conversation covers what AI governance actually means, why it should not be treated as only an IT or legal issue, and how companies can begin building guardrails that are realistic for where they are today. Tim and Tally also discuss the risks of moving too fast, from reputational damage and workforce mistrust to shadow AI, data exposure, and tools evolving faster than policies can keep up.Throughout the episode, one theme keeps resurfacing: good AI governance is not about slowing innovation down. It is about helping people use AI with more confidence, more clarity, and more accountability, so organizations can move forward without losing sight of quality, trust, and human judgment.Topics CoveredWhat AI governance means in practical termsWhy governance is more than policyAI guardrails and avoiding bad surprisesAI literacy for students, teachers, parents, and communitiesHuman review for AI-generated marketing and public contentReputational risk, legal risk, financial risk, and workforce trustShadow AI and tools already being used inside organizationsBuilding an AI-forward team or steering committeeStarting small with governance instead of overbuilding too earlyModel inventories and approved AI tool listsData classification and acceptable usePolicies, procedures, standards, and guidelinesUse case intake and review workflowsAI wearables, recording, consent, and workplace expectationsUsing AI for creative work, slide generation, and brainstormingResourcesArticles and News MentionedAI Literacy Framework for Primary and Secondary EducationREI got roasted for a nonsensical Instagram ad featuring a bike with 2 sets of handlebars and blamed a Meta AI toolEU AI ActGamestorming: 7Ps FrameworkTechCrunch: Humane’s AI Pin is dead, as HP buys startup’s assets for $116MOrganizations MentionedMind Over MachinesOECDEuropean CommissionCode.orgREI Co-opMetaMicrosoftAnthropicOpenAIGoogleAdobeElevenLabsHiggsfield AIHumaneHPTools and Technologies MentionedMeta AIMicrosoft CopilotCopilot in PowerPointPowerPoint Agents in Microsoft 365 CopilotChatGPTClaudeAdobe FireflyHiggsfield AIElevenLabsRay-Ban Meta AI GlassesGoogle MapsGoogle Street ViewSend us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this mini episode...Tim and Tally wrap up The Boring AI Show’s AI for Good Global Summit mini-series with one final recap from the week.The conversation gives listeners a taste of the summit’s closing themes, from education and human connection to global governance, authenticity, and the long-term choices organizations face as AI continues to evolve.Rather than covering every session, Tim and Tally reflect on the ideas that felt most useful for business leaders, teams, and everyday AI users trying to make sense of where this technology is heading.Throughout the episode, one theme comes through clearly: the future of AI will be shaped not only by what the tools can do, but by the values, questions, and people guiding how they are used.Send us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this mini episode...Tim and Tally return for another AI for Good Global Summit recap, this time reflecting on a day that brought a slightly different tone to the global AI conversation.The episode gives listeners a quick look at some of the themes emerging from the summit, including creativity, trust, responsibility, and the relationship between AI and human expression.Rather than trying to cover every session, Tim and Tally focus on the ideas that felt most relevant for organizations, creators, and everyday AI users trying to understand where this technology is headed.Throughout the episode, one theme keeps resurfacing: AI is not just changing what people can make. It is also pushing us to think more carefully about ownership, consent, creativity, and the human role behind the work.Send us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this mini episode...Tim and Tally kick off The Boring AI Show’s AI for Good Global Summit mini-series with a quick first recap from the event.The conversation gives listeners a taste of the major themes emerging from the summit, from responsible AI and global collaboration to trust, values, and the role people play in shaping what comes next.Rather than trying to cover everything, Tim and Tally highlight the ideas that stood out most and connect them back to the practical questions organizations should be asking as AI continues to evolve.Throughout the episode, one theme comes through clearly: the future of AI is not just about better technology. It is about the choices people, communities, and organizations make together.Send us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this special announcement...The Boring AI Show is interrupting its regularly scheduled programming for something a little different: a mini-series covering the AI for Good Global Summit.Next week, Tim and Tally will be following the summit virtually each day and bringing listeners quick, practical recaps of the biggest themes, takeaways, and conversations. The summit brings together global voices around one big question: how can AI be developed and used responsibly to help solve real-world challenges?This mini-series will break down the major ideas coming out of the event, from responsible AI and sustainable development to policy, governance, and what organizations should be paying attention to next.Tune in next week as The Boring AI Show does what it does best: taking a huge, important AI topic and making it useful, approachable, and a little less boring.Send us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

In this episode...Tally is joined by Nicholas Detorie and Jared Jones from Mind Over Machines to explore what it means to start a software development career in the age of AI. With Tim out for this episode, the conversation focuses on the next generation of workers: AI can make learning, building, and experimenting more accessible, but it does not replace fundamentals, judgment, or accountability.The episode starts with a few AI news stories that set up a broader discussion about trust, risk, and real-world adoption. From there, Nicholas and Jared join Tally to talk about how AI is changing the way developers learn, work, and think through problems, especially for people entering technical fields today.The conversation covers the benefits and risks of AI-assisted learning, why strong fundamentals still matter, and how managers can support newer workers who are already used to having AI in the workflow. Along the way, the group shares practical examples of AI as a coding partner, learning tool, coach, and reviewer.Throughout the episode, one theme keeps resurfacing: AI can help people move faster and try things they might not have attempted before, but the strongest results still come from pairing AI with human judgment, clear quality standards, and the willingness to learn what is happening underneath the output.Topics CoveredStarting a software development career in the age of AIHow AI changes the learning curve for new developersWhy AI can lower barriers to entry for technical workThe difference between using AI to learn and using AI as a crutchWhy programming fundamentals still matterStack Overflow, GeeksforGeeks, and how developers learned before AIDeveloper trust and distrust in AI coding toolsWhy AI-generated code still needs human reviewHuman-in-the-loop workflows for developers and AI toolsVibe coding and the risk of hidden technical debtInflated confidence when AI helps with unfamiliar skillsKnowing when to involve an expertAI safety, jailbreaks, and model governanceExport controls and dependency on frontier AI modelsBusiness continuity risks when an AI model is suddenly unavailableAI in agriculture, including robotic milking and laser weedingUsing AI as a coach, thought partner, and reviewerHow managers can support AI-native junior workersBalancing speed, quality, mentorship, and accountabilityUsing AI to maintain consistency across client-facing project materialsBuilding an e-ink AI news dashboard with RSS feeds and LLM rankingUsing ChatGPT for soccer tactics and formation planningResourcesArticles and News MentionedAnthropic pulls Claude Mythos 5 and Claude Fable 5 following US government directiveInside the whirlwind 24 hours that led the White House to slap export controls on AnthropicForbes: Anthropic Pulls Fable, Mythos After Government Issues Emergency Export Control OrderNew York Times: From Cow-Milking Robots to Weed-Zapping Lasers, Farmers Are Embracing A.I.Stack Overflow 2025 Developer Survey: AIStack Overflow Blog: Developers remain willing but reluctant to use AIMDN: RSSFIFA World Cup 2026Organizations MentionedMind Over MachinesAnthropicAmazonStack OverflowThe New York TimesSeeed StudioGeeksforGeeksFIFATools and Technologies MentionedClaudeClaude Fable 5Claude Mythos 5ChatGPTStack OverflowGeeksforGeeksSeeed Studio reTerminal E1001Send us Fan MailThanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!