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该论文研究了推理模型在不同思考预算下是否表现出更少的认知偏误，结果发现增加推理token并不会降低偏误，部分偏误甚至与人类方向相反，表明测试时推理不能保证决策理性。
This talk by Will Brown of Primordial AI discusses techniques for scaling Reinforcement Learning to complex, real-world tasks where rewards are not verifiable, using methods like anchoring, LLM judges, and simulation.