Thinking Through AI

Ep. 7 - When AI Starts Improving Itself, Who's Actually in Control?

Mon, 14 Sep 2026 08:00:00 -0400

The AI race is accelerating, but the harder question may be whether our ability to govern AI is accelerating with it. As researchers explore recursive self-improvement and increasingly autonomous systems, “human in the loop” may no longer tell us enough about who actually has control.

This discussion connects recent warnings from AI researchers and executives, recursive self-improvement, reward hacking, human oversight, workforce accountability, and China's broader approach to AI infrastructure, education, governance, and international cooperation.

The pressing issue isn't who builds the world's most powerful AI. It's whether the institutions, controls, workforce systems, technical ecosystems, and governance structures surrounding AI can evolve quickly enough to keep pace with the technology itself, and what happens if America wins the capability race while someone else wins the governance race.

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Ep. 6 - New York City Is Putting the Brakes on AI in Schools

Mon, 07 Sep 2026 16:00:00 -0400

New York City is putting limits on student-facing generative AI, raising a much bigger question about technology and childhood: just because AI can enter nearly every part of education, should it?

Before students learn how to augment their thinking with AI, they still need opportunities to develop the foundational skills that make independent thinking possible. Reading, writing, mathematical reasoning, creativity, attention, judgment, and even intellectual struggle all matter in determining what kind of thinkers children become.

This conversation extends beyond the classroom. Schools, parents, policymakers, communities, and technology companies all have a role in deciding where technology adds genuine value, and where “not yet” may be part of responsible innovation.

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Ep. 5 - The AI Data Center Boom Has a “Trust Me Bro” Problem

Thu, 20 Aug 2026 19:00:00 -0400

America’s AI buildout isn’t only a question of compute, electricity, water, and data centers. It’s increasingly a question of public trust: who absorbs the costs, who participates in the economic upside, and whether communities have a meaningful voice before the infrastructure arrives.

This discussion looks at AI infrastructure as a systems problem connecting utility bills, ratepayer protections, grid investment, workforce development, CTE pathways, community participation, and public legitimacy. If America intends to build the physical infrastructure required for AI leadership, the benefits have to become tangible to the people being asked to live alongside it.

Public trust isn’t separate from infrastructure. It may be one of the most important pieces of infrastructure we have to build.

This content is for informational purposes only and does not constitute financial, legal, or investment advice. Meisa Bonelli is not a licensed financial advisor or attorney.

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