
Sakana AI Introduces MASS Framework to Enable Recursive Self-Improvement in AI Models
Sakana AI and UC Berkeley researchers have introduced Multi-Agent Self-Supervision (MASS), a framework that trains AI models using the collective work of virtual agents. Experiments reported improvements in score per output token across four research benchmarks after two self-improvement cycles.








