Sakana AI's Recursive Self-Improvement (RSI) Lab (sakana.ai) AI

Sakana AI says it has established an RSI Lab in Tokyo to pursue recursive self-improvement that uses sample-efficient, open-ended agent architectures rather than brute-force scaling, aiming for autonomous systems that can improve their own models and development process. The post outlines prior work the lab draws on (including LLM-driven training optimization, continuous self-improving code via a “Darwin Gödel Machine,” and automated scientific discovery culminating in a Nature publication) and emphasizes publishing openly with safeguards to address failure modes like off-distribution drift and benchmark-passing-but-unsafe behavior.