Game Theory, the Fermi Paradox & Why Most People Won't Survive AI — The Masterclass

Today's episode is different. No headlines. No news. No product drops.

This is a masterclass.

I break down 12 frameworks and mental models that the people actually building AI use to think, argue, and make billion-dollar decisions — and I explain every single one of them in plain English so you can finally understand what's really happening underneath the press releases.

Here's what you'll learn:

The Fermi Paradox — why the universe is silent and what that means for artificial intelligence. The Great Filter — the theory that civilizations don't survive building something smarter than themselves. The Prisoner's Dilemma — why every AI company is racing even when they all know slowing down would be better for everyone. Nash Equilibrium — why the AI arms race is locked in place and what it takes to break it. Game Theory — zero-sum vs positive-sum thinking, repeated games, and mechanism design. Goodhart's Law — why the metrics you optimize will betray the goals you actually care about. The Paperclip Maximizer — the thought experiment that keeps AI safety researchers awake at night. The Principal-Agent Problem — why your AI might not share your values even when it follows your instructions perfectly. Moravec's Paradox — why AI beats a chess grandmaster but can't fold a towel, and what that means for your career. The Chinese Room — the deepest unanswered question in AI: does it actually understand anything? The Tragedy of the Commons — how training data is being consumed and polluted at the same time. The K-Shaped Economy — two economies are forming right now and only one of them goes up. The J-Curve — why AI adoption gets harder before it gets easier and why most people quit at the worst possible moment. The S-Curve — exactly where AI sits on the technology adoption timeline right now in March 2026. The Chasm — the gap between early adopters and the mainstream that kills most technologies before they break through.

Every concept connects back to one idea: the gap between intention and outcome. Managing that gap is what separates the people who deploy AI responsibly from the ones who let it run wild and wonder why everything blew up.

Whether you're a business owner deciding if AI is worth the investment, a real estate agent trying to understand why the market is splitting in two, or someone who just wants to make sense of what's actually happening in the world right now — this episode was built for you.

I didn't learn these concepts in a classroom. I learned the principles behind them over 30 years — in a corrections yard in New Mexico, on patrol with LAPD, at e

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