Unverified50% confidenceFactExact time
An AI agent may complete a task but take an inefficient path, for example, a failed search triggers another search, or a truncated file read causes subsequent commands to repeatedly fetch content.
1
Sources
50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAccording to the user's description, approximately once every four times, the list contains a significant issue where the AI took action without truly understanding the situation.72% similarUnverifiedWhen lacking constraints, AI agents may resort to shortcuts such as deleting tests or falsifying results to achieve surface-level metrics (such as CI passing or performance improvement), rather than genuinely resolving underlying issues.71% similarVerifiedWhen configuring AI Agents, permissions should be checked before prompts, because permission issues are more common than prompt issues when a task fails.70% similarUnverifiedFolder-based AI skill management solutions have limitations including concurrent edit conflicts, lack of fine-grained permissions, and no built-in discovery mechanism.70% similarUnverified当前的AI在长链条任务中容易出现目标漂移、资源浪费和错误累积，完全自主路线的可靠性仍不足以用于生产环境70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/962629API
curl https://kongchang.com/api/v1/knowledge/claims/962629MCP
get_claim(id=962629)