Unverified50% confidenceFactExact time
Inner misalignment refers to the phenomenon where the goals a model learns during training are not fully identical to the training objectives.
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50%
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Long-term
Relevance
9/25/2026
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Related Claims
VerifiedGoodhart's Law states that when a metric becomes a target in itself it is no longer a good metric, and introducing test sets into training data causes a model's exam scores to decouple from its true capabilities79% similarVerifiedMisalignment refers to a discrepancy between the objectives learned by a model and the values and behavioral norms that humans truly expect.79% similarUnverifiedThe objectives learned by models during training often deviate from the values and behavioral norms that humans truly expect73% similarUnverified在目标检测任务中，标注矛盾会同时影响分类分支和回归分支两个学习目标72% similarUnverifiedThe evaluation found that the partitions produced by goal-model-guided classification are clearly different from those produced by unsupervised induction.71% similar
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