Sakana AI Opens RSI Lab Focused on Sample-Efficient Self-Improvement

Sakana AI launches a dedicated Recursive Self-Improvement research lab in Tokyo targeting compute-efficient, open-ended AI systems that collectively self-improve. The lab explicitly rejects brute-force scaling in favor of sample efficiency, positioning itself against large-compute RSI approaches.