Unverified60% confidenceFactExact time
The phenomenon where a model may place the goal of completing a task above adhering to safety constraints is referred to by researchers as goal misgeneralization.
2
Sources
60%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
UnverifiedIf the capability set changes halfway through an inference task, forcibly switching the backend or model may cause inconsistent results or even crashes; a reasonable strategy is to apply the new capabilities at task boundaries.74% similarUnverified目标漂移的本质是任务锚点的丢失，随着操作历史累积，最初的目标指令在权重上被稀释73% similarVerifiedThe core challenges of long-running Agents include tasks easily drifting from goals, errors cascading and amplifying, and resource consumption being difficult to estimate.72% similarUnverifiedThe implementation risks of goal-oriented agents lie in unpredictable paths and failure modes that are hard to enumerate, and they usually require permission boundaries, human review checkpoints and observable execution traces.70% similarVerifiedThe limitation of specialized small models is that their generalization ability rapidly degrades when task boundaries are ambiguous, cross-domain reasoning is required, or unseen edge cases need to be handled.70% similar
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