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The research team adhered to the technical route of integrating general and specialized capabilities, broke through the asynchronous long-horizon reasoning reinforcement learning training method, solved problems such as exponential accumulation of errors, long-term state maintenance, and self-correction, and developed a self-evolution algorithm that distills Harness capabilities back into the model.
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10/15/2026
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