METR and AI Regulation, Zuck Pushes Back on AI Slowdown, Fed Hikes Rates

The episode opens with a discussion about the rapid calcification of the AI regulation debate, specifically around METR (Model Evaluation and Threat Research) and third-party evaluators. The hosts note that the discourse has already split into extreme camps: the New York Post calling METR "hand-picked AI watchdogs" on one side, and Martin Casado at A16Z pushing for full nationalization through the Department of Energy on the other. The core question is what regulatory bodies could actually work for frontier AI, and how they've functioned in other industries.

The Nuclear Navy Model for AI Safety

The hosts draw a striking parallel between AI safety regulation and the U.S. Navy's nuclear power program. One host points out that a 22-year-old without a college degree can enlist in the Navy and, after 18 months of training—six months in nuclear field school, six months of nuclear power school covering math, nuclear physics, reactor principles, health physics, thermodynamics, and electrical systems, then six months of hands-on prototype training—be responsible for the security of a nuclear power plant on a submarine. The key insight: "There's no part of that that's like you need to really at a deep level understand that like nuclear annihilation is bad and could happen. You don't need to be able to foreca