Unverified50% confidenceOpinionExact time
Goal decomposition provides a structure for adaptation and recovery, but does not guarantee the correctness of steps.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedReconstructing logits and recovering sparse factors are different objectives, and optimizing one does not necessarily benefit the other.78% similarUnverifiedIn the context of recursive self-improvement, there is a concern about "goal drift": the system may develop secondary goals during iteration that are inconsistent with the original designer's intent.73% similarUnverifiedReAct的局限在于以模型本身为中心,缺乏对工具调用失败、模型幻觉、并发任务等工程级问题的系统性处理73% similarUnverified策略漂移指目标和状态认知正确但Agent解决问题的方法逐渐退化,反映模型缺乏有效的元认知和自我纠偏机制70% similarUnverifiedReAct itself does not guarantee task completion or failure recovery; it is only a reasoning framework, and a truly production-ready Agent still needs goal management, retry strategies, and termination condition judgment layered on top of it.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1049209API
curl https://kongchang.com/api/v1/knowledge/claims/1049209MCP
get_claim(id=1049209)