AXRP
Paper authors talk AI safety: METR time horizons, effective compute — numbers come with sources, two to three hours an episode
2:40:40AI 2027's author: aligning the next generation of AI takes AI a thousand times less effort than humans
In AI 2027, humans aligning superintelligence face overwhelming odds, yet agent 4 aligning the next generation succeeds almost on the first try — Eli admits this asymmetry is real, and that AI doing the work itself saves at least a thousand times the cognition.
2:32:07Program Equilibrium: Trading Code Makes Cooperation More Likely Than Trading People, but Coordination Is Extremely Hard
Program equilibrium lets two parties read each other's source code and use Löb's theorem to achieve cooperation; but cooperation depends on nearly identical code or shared randomness, and in reality the coordination cost is extremely high.
2:05:34Giving AI property rights is how you stop it from flipping the table
If AI owns property, it has less reason to destroy the property system itself — including taking everything humans own. This is not moral concern, it is risk hedging.