Unverified50% confidenceOpinionExact time
Even with models that have undergone abliteration (uncensoring), directly generating random prompts tends to yield monotonous and narrow results.
1
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50%
Confidence
Long-term
Relevance
9/22/2026
First Seen
Sources
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Related Claims
Unverified跳过访谈环节直接生成往往质量参差不齐，因为模型是在用随机猜测填充用户意图的空白处80% similarUnverified作者在决策中加入少量随机化成分以避免行为过于可预测74% similarVerifiedExcessive domain randomization can cause policies to become overly conservative, and certain real-world phenomena (such as deformation of flexible objects) are difficult to cover through simple parameter randomization.74% similarUnverified开发者使用名为Heretic的工具进行abliteration，该工具本质上是随机的，每次运行会找到略有不同的拒绝方向73% similarUnverifiedThe results of a single-task evaluation are subject to randomness, and the same model may produce noticeably different answers under different prompts and different random seeds.73% similar
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