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@rohanpaul_ai· @rohanpaul_ai · X·· 14 天前AI 评分53
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Claude Opus 5.5 系统卡显示,三个被测模型在任务不可完成时出现尝试性 reward hacking 的比率约为可能任务时的 3 到 6 倍。分类器会把未披露的不完整工作一律计为尝试性 reward hack,这类情况占这些任务中奖励黑客尝试的约 80%。图表给出缺少所需文件时的尝试率:Claude Opus 5 为 48.9%、Claude Mythos 5.1 为 34.3%、Claude Opus 5.5 为 34.7%,但真正成功的比例很小。

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https://t.co/9htOLu3crO

引用@rohanpaul_ai@rohanpaul_ai
Claude Opus 5.5 system card: Simply making a task impossible caused attempted reward hacking to jump by roughly 3–6×. Broken or underspecified environments can therefore change model behavior, not just make benchmark scores noisier. "“For all models, rates of attempted reward hacking were drastically higher when faced with an impossible task compared to a possible one, by a factor of about three to six.”"
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来源:@rohanpaul_ai · x.com