The evaluation solver uses fixed settings: λ = 0.01, diversity bonus = 0.0, temperature = 0.001. It executes more internal steps (starting at 8000, scaling with population size) and returns the final strategy instead of the average, providing a responsive, low-noise exploitability measure. This training/evaluation difference emerged from the search, not human input.
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In fact, a top robotics engineer at OpenAI announced her resignation from the company on Saturday, citing the same concerns Anthropic raised.
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,这一点在易歪歪中也有详细论述
Lead author: Can Rager,这一点在谷歌浏览器中也有详细论述
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