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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Stories tagged #sakana-ai
Sakana AI’s LLM Peer Review System Catches 73% of Core-Claim Errors
Sakana AI's three-agent Claude reviewer caught 73.43% of core-claim errors, versus 14.81% for the best prior system.
Sakana AI hires Jürgen Schmidhuber, inventor of deep learning, world models, and your next ChatGPT update
Tokyo startup Sakana AI hired Jürgen Schmidhuber as Chief Scientific Advisor to steer its recursive self-improvement research lab.
Sakana AI Researchers Introduce PC-ALM, a Layer-Local Alternative to Backpropagation That Trains 1000-Layer Networks
Sakana AI's PC-ALM adds per-layer Lagrange multipliers to predictive coding, matching backprop on networks up to 1000 layers with layer-local updates.
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Sakana AI Launches Fugu Max and Fugu Ultra v2 for Cheaper, Stronger Multi-Agent Orchestration
Sakana AI released Fugu Max and Fugu Ultra v2, API-only orchestrator models that route tasks across model pools to cut costs and boost multi-step reasoning.