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We would expect a well calibrated model to have logits that make sense. If the highest weight was on ‘7’, we would expect the rest of the weight to be on ‘6’ and ‘8’ right? but often its bimodal, with low weight on 6 and ‘5’, but more weight than expected on ‘4’!We can write ‘10’ in tokens as either ‘10’ or ‘1’ and then ‘0’. Its not fun to have to calculate the summed probabilities over paths, especially if you wanted to score 1-100Rather than sampling a single discrete score, I treat the judge’s output as a distribution over valid rating labels and compute the final score as its expectation.，详情可参考zoom
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你卖的东西，有没有一种“不用会死”的不可替代性？还是“有更好，没有也行”？
Turnover is not a cultural inconvenience. Replacing skilled knowledge workers can cost a significant percentage of annual compensation once recruiting fees, onboarding time, lost productivity, and team disruption are included. If AI-driven expectation resets increase attrition even modestly, the financial gains from higher throughput can be quickly offset by replacement costs and weakened institutional memory.