Sakana AI advances self-improving workflow optimization

Sakana AI proposes having models generate, execute, grade, and evolutionarily select multi-agent workflows, then self-train the optimizer without an external verifier. Related RSI-Anything results extend the pattern across code repair, GUI control, lab planning, and chemistry, but evaluator gaming, limited scale, compute accounting, and generalization remain open concerns.