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公式: f(x)=x⋅Φ(x)≈0.5x(1+tanh[2/π(x+0.044715x3)])
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Two subtle ways agents can implicitly negatively affect the benchmark results but wouldn’t be considered cheating/gaming it are a) implementing a form of caching so the benchmark tests are not independent and b) launching benchmarks in parallel on the same system. I eventually added AGENTS.md rules to ideally prevent both. ↩︎
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