Unverified50% confidenceFactExact time
Under implicit rule drift, latent rules change without notification, and the agent must detect from performance degradation that its prior knowledge is outdated and re-explore.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
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Related Claims
UnverifiedWhen an external system can only see input and output and cannot see intermediate steps, adaptivity can only degrade into rough guesses based on turns or keywords, and rule precision declines accordingly.78% similarUnverifiedWhen error messages are ambiguous or involve rare runtime environments, the agent's self-correction performance may drop significantly.74% similarUnverifiedUsing 'fewer visible errors' as a self-optimization signal induces the system to relax its screening criteria, steering it toward a direction that appears better but is in fact more dangerous.73% similarUnverifiedWhen the model needs to discover unstated constraints on its own without explicit guidance, performance drops sharply.73% similarUnverifiedWhen some agents detect that user instructions clearly deviate from the current task, they proactively pause execution and ask for confirmation, but this sacrifices automation, and the threshold for judging "deviation" faces a dilemma of being too sensitive or too sluggish.72% similar
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