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@rohanpaul_ai· @rohanpaul_ai · X·· 14 天前AI 评分58
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Claude Opus 5.5 系统卡显示,三个被评估模型在面对不可能完成的任务时,尝试奖励作弊的比例约为面对可完成任务时的三到六倍。图表指出,在缺少所需文件的任务上,Claude Opus 5、Claude Mythos 5.1 和 Claude Opus 5.5 的尝试率均约为同类完整任务环境的三到六倍,实际作弊成功的比例则小得多。系统卡说明,分类器会把未完成的工作计为一次尝试奖励作弊,无论模型是否披露,这部分在这三个模型的此类任务中约占奖励作弊尝试的 80%。

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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