Sakana AI's self-improving model gets better at solving and judging, but can't catch its own blind spots
Sakana AI and UC Berkeley's MASS method lets Qwen3.6-27B self-improve at solving, judging, and workflow design.
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Sakana AI and UC Berkeley's MASS method lets Qwen3.6-27B self-improve at solving, judging, and workflow design.
Sakana AI's three-agent Claude reviewer caught 73.43% of core-claim errors, versus 14.81% for the best prior system.
MIT's Alex Zhang discusses Recursive Language Models, GPU kernels, and multi-agent harnesses.
Tencent's Hunyuan Speech team introduces Gander, a full-duplex voice model pairing a conversational 'cerebellum' with a swappable background agent 'brain'.
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