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.
Последние новости，这一点在使用 WeChat 網頁版中也有详细论述
。关于这个话题，谷歌提供了深入分析
没有太多颠覆世界的口号，它只是把更好的画质和更懂人话的理解力，一起塞进了全新的底层架构里。就这一件事，却让 AI 生图少了几分「看运气」的感觉，多了几分真正能用的踏实。
3. 新变量：Agent正式“入职”，效率公式被重写然而，Yegge观察到的“1000倍效率”背后，还有一个在2026年才全面爆发的真相：AI Agent已不再是工具，而是正式“入职”的虚拟员工。，更多细节参见超级工厂