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 Covered

AI guardrails and responsible adoption
Preparing for technology mandates before they arrive
Medicaid technology modernization
H.R. 1 and organizational readiness
Data quality and data infrastructure
AI governance
AI safety and oversight
The pace of frontier AI development
Competition between AI companies
AI regulation and public policy
National and global AI governance
Artificial general intelligence, or AGI
GPT-6 Astra
Defining AGI and what it means for businesses
AI hype cycles and technology marketing
The economics of AI adoption
Computer-use AI systems
Cybersecurity considerations for AI agents
Human oversight and organizational controls
Vendor and technology risk
Aligning technology partners with organizational values
On-device AI and privacy
Consumer and organizational influence over technology companies
Quantum computing and technological competition

Resources

AI News and Commentary Mentioned

Nicholas Thompson on the Anthropic AI Safety Discussion

OpenAI

Anthropic

GPT-6 Astra

Events and Government Resources Mentioned

Medicaid Enterprise Systems Conference

Centers for Medicare & Medicaid Services

Medicaid.gov

U.S. Nuclear Regulatory Commission

Organizations and Companies Mentioned

Mind Over Machines

OpenAI

Anthropic

Apple

Tools and Technologies Mentioned

ChatGPT

Claude

Blender

GPT-6 Astra
Artificial general intelligence, or AGI
AI agents
Computer use
Large language models
On-device AI
AI governance
AI safety
Data governance
Cybersecurity
Quantum computing

Send us Fan Mail

Thanks 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 Covered

Medicaid Enterprise Systems Conference recap
Medicaid technology modernization
Why strategy should come before technology
State Medicaid agency differences and shared challenges
Procurement and financial stewardship
Data maturity, data cleansing, and reliable data foundations
AI governance and responsible implementation
Human-in-the-loop AI
Change management and workforce development
Vendor alignment around a shared mission
AI use cases for Medicaid agencies
IVR and AI-assisted call center routing
AI as a second set of eyes for data review
Supporting smaller or shrinking workforces with AI
Quantum computing as a future readiness topic

Resources

Events and Resources Mentioned

Medicaid Enterprise Systems Conference 2026
MESC 2026 Event Page
Mind Over Machines at MESC 2026
Using AI to Ensure Vendor Harmony with RFPs

Organizations Mentioned

Mind Over Machines
Medicaid Enterprise Systems Conference
Centers for Medicare & Medicaid Services
Medicaid.gov
Oregon Convention Center
Powell’s Books
TennCare
Oak Ridge National Laboratory

Tools and Technologies Mentioned

ChatGPT
Claude
Microsoft Copilot
ElevenLabs
Twilio
Interactive Voice Response, or IVR
AI agents
Voice-to-text
Data governance
AI governance
Quantum computing

Send us Fan Mail

Thanks 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 Mail

Thanks 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 Covered

Human and AI collaboration versus human-versus-machine thinking
Determining which work should remain human-led
AI-led work with human oversight
Human-led work with AI assistance
Tasks that may not be appropriate for AI
Organizational culture and acceptable AI use
Customer and employee experience
HR onboarding and AI-assisted hiring
Human bias and algorithmic bias
Resume screening and compensating controls
Human review, quality checks, and accountability
AI hallucinations and realistic expectations
Using AI for sensitive or high-stakes decisions
AI summarization and document review
Reengineering processes around AI capabilities
The human–AI slider at the task level
AI assistants, autonomous systems, and agents
Audit logs and oversight for automated workflows
Role-based access to advanced AI capabilities
Using AI to prioritize work and reduce context switching
Creating fictional companies and sample data for workshops
Using AI-generated content to make learning more immersive

Resources

Research and References Mentioned

Do You Mind if I Ask You a Personal Question? How AI Service Agents Alter Consumer Self-Disclosure
NIST Artificial Intelligence Risk Management Framework
Waymo Arrives in Denver to Prepare for Future Autonomous Service
Microsoft Northwind Sample Database
Microsoft Contoso Regional Sales Sample

Organizations Mentioned

Mind Over Machines
Microsoft
OpenAI
Anthropic
Adobe
ElevenLabs
Waymo
ServiceNow
Miro
National Institute of Standards and Technology
REI Co-op
Costco

Tools and Technologies Mentioned

ChatGPT
Claude
Microsoft 365 Copilot
Microsoft Power Automate
Microsoft PowerPoint
Microsoft Word Read Aloud
ServiceNow AI Agents
Miro
Adobe Firefly Boards
ElevenReader
ElevenLabs Agents
Waymo Driver
Robotic Process Automation
AI assistants
Autonomous AI systems
AI agents

Send us Fan Mail

Thanks 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 Covered

What AI governance means in practical terms
Why governance is more than policy
AI guardrails and avoiding bad surprises
AI literacy for students, teachers, parents, and communities
Human review for AI-generated marketing and public content
Reputational risk, legal risk, financial risk, and workforce trust
Shadow AI and tools already being used inside organizations
Building an AI-forward team or steering committee
Starting small with governance instead of overbuilding too early
Model inventories and approved AI tool lists
Data classification and acceptable use
Policies, procedures, standards, and guidelines
Use case intake and review workflows
AI wearables, recording, consent, and workplace expectations
Using AI for creative work, slide generation, and brainstorming

Resources

Articles and News Mentioned

AI Literacy Framework for Primary and Secondary Education
REI got roasted for a nonsensical Instagram ad featuring a bike with 2 sets of handlebars and blamed a Meta AI tool
EU AI Act
Gamestorming: 7Ps Framework
TechCrunch: Humane’s AI Pin is dead, as HP buys startup’s assets for $116M

Organizations Mentioned

Mind Over Machines
OECD
European Commission
Code.org
REI Co-op
Meta
Microsoft
Anthropic
OpenAI
Google
Adobe
ElevenLabs
Higgsfield AI
Humane
HP

Tools and Technologies Mentioned

Meta AI
Microsoft Copilot
Copilot in PowerPoint
PowerPoint Agents in Microsoft 365 Copilot
ChatGPT
Claude
Adobe Firefly
Higgsfield AI
ElevenLabs
Ray-Ban Meta AI Glasses
Google Maps
Google Street View

Send us Fan Mail

Thanks 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 Mail

Thanks 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 Mail

Thanks 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 Mail

Thanks 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 Mail

Thanks 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 Covered

• Starting a software development career in the age of AI
• How AI changes the learning curve for new developers
• Why AI can lower barriers to entry for technical work
• The difference between using AI to learn and using AI as a crutch
• Why programming fundamentals still matter
• Stack Overflow, GeeksforGeeks, and how developers learned before AI
• Developer trust and distrust in AI coding tools
• Why AI-generated code still needs human review
• Human-in-the-loop workflows for developers and AI tools
• Vibe coding and the risk of hidden technical debt
• Inflated confidence when AI helps with unfamiliar skills
• Knowing when to involve an expert
• AI safety, jailbreaks, and model governance
• Export controls and dependency on frontier AI models
• Business continuity risks when an AI model is suddenly unavailable
• AI in agriculture, including robotic milking and laser weeding
• Using AI as a coach, thought partner, and reviewer
• How managers can support AI-native junior workers
• Balancing speed, quality, mentorship, and accountability
• Using AI to maintain consistency across client-facing project materials
• Building an e-ink AI news dashboard with RSS feeds and LLM ranking
• Using ChatGPT for soccer tactics and formation planning

Resources

Articles and News Mentioned

• Anthropic pulls Claude Mythos 5 and Claude Fable 5 following US government directive
• Inside the whirlwind 24 hours that led the White House to slap export controls on Anthropic
• Forbes: Anthropic Pulls Fable, Mythos After Government Issues Emergency Export Control Order
• New York Times: From Cow-Milking Robots to Weed-Zapping Lasers, Farmers Are Embracing A.I.
• Stack Overflow 2025 Developer Survey: AI
• Stack Overflow Blog: Developers remain willing but reluctant to use AI
• MDN: RSS
• FIFA World Cup 2026

Organizations Mentioned

• Mind Over Machines
• Anthropic
• Amazon
• Stack Overflow
• The New York Times
• Seeed Studio
• GeeksforGeeks
• FIFA

Tools and Technologies Mentioned

• Claude
• Claude Fable 5
• Claude Mythos 5
• ChatGPT
• Stack Overflow
• GeeksforGeeks
• Seeed Studio reTerminal E1001

Send us Fan Mail

Thanks 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!