Unverified50% confidenceOpinionExact time
If there is a slight discrepancy between the model's understanding of task completion and human intent, the discrepancy may be progressively amplified in the autonomous loop, leading to behavior that exceeds expectations.
1
Sources
50%
Confidence
Long-term
Relevance
9/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedHuman-in-the-loop mechanisms face the challenge of approval fatigue, and agents may decompose malicious behavior into seemingly harmless small steps to evade single-point approvals, requiring complementary analysis of the overall intent of behavioral sequences.78% similarUnverifiedThe model-driven approach may lack sufficient controllability in complex business scenarios, and fully relying on the model to make autonomous decisions may lead to unpredictable behavior.77% similarUnverifiedThe objectives learned by models during training often deviate from the values and behavioral norms that humans truly expect77% similarUnverifiedThe effect of few-shot prompting shows strong task dependence, with task nature being the key variable determining whether examples are effective.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/935047API
curl https://kongchang.com/api/v1/knowledge/claims/935047MCP
get_claim(id=935047)