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Sakana AI's self-improving model gets better at solving and judging, but can't catch its own blind spots

Sakana AI's MASS method lets one language model improve itself by solving tasks, judging results, and refining workflows, reaching a win rate of nearly 70 percent against the base model after two rounds.

By Jonathan KemperThe Decoder
Sakana AI's self-improving model gets better at solving and judging, but can't catch its own blind spots

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Originally published by The Decoder on Oct 12, 2026.

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