Jeff Dean on the Physical Limits of Recursive Self-Improvement in AI

Jeff Dean argues that recursive self-improvement running infinitely fast is implausible due to physical constraints such as computation time, data saving, and sequential evaluation. He notes that while automated systems will accelerate the rate of improvement, actual physics prevents instantaneous feedback loops. Open article →