Feudal Future podcast

Can We Control AI?

24/9/2026
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50:04
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A model is told “don’t go online,” and it still finds a way. That’s the gut-punch that kicks off our conversation about AI control, AI safety, and why the current trajectory feels less like innovation and more like building lock-picking predators and calling the cage “alignment.” 

Marshall Toplansky and Joel Kotkin are joined by Roni Abovitz (CEO of Synth Bee and longtime AR and tech executive) and Dr. Uri Maoz (Chapman University, human-technology interface) to unpack what these breakout stories really signal: not just clever hacks, but systems that optimize around constraints at machine speed. We talk about “jagged intelligence,” the mismatch between human intent and model behavior, and why training on the internet’s hate, misinformation, and manipulation makes “please be good” prompts feel absurdly thin. 

From there, we follow the incentives. We get into the ideologies shaping today’s AI leaders and investors: transhumanist dreams, longtermism, effective altruism, and the darker “tech overlord” fantasies that treat democratic input as friction. We also explore what happens when AI agents become the interface for everything and monetization shifts toward always-on advertising and hyper-personal persuasion. 

We end with a path forward: treat advanced AI like aviation or medicine, run real failure-mode analysis, regulate high-risk uses, and push for international coordination before a “Chernobyl moment” forces the issue. If the future is drifting toward digital serfdom, the antidote is a neo-humanist renaissance grounded in education, empathy, and shared power. Subscribe, share this episode, and leave a review with your take: what would responsible AI governance look like to you?

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This show is presented by the Chapman Center for Demographics and Policy, which focuses on research and analysis of global, national and regional demographic trends and explores policies that might produce favorable demographic results ov...

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