Sakana AI and UC Berkeley researchers publish MASS, a method for a model to train itself using its own multi-agent workflows
In MASS, one open model plays solver, workflow designer and judge, then is fine-tuned on its best results. The authors report gains on four research benchmarks but not on two coding benchmarks, and warn about shared blind spots.
























