Unverified50% confidenceFactExact time
上下文回贯缺失指工具执行后的观测结果（observation）没有回写到对话上下文，导致模型每轮接收相同上下文而重复相同决策
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
Unverified智能体的执行具有非确定性，同样的输入可能因模型的随机采样而产生不同输出，因此其恢复机制需要保存完整的执行轨迹和中间推理步骤72% similarUnverifiedA model's commitments and memory writes do not change its underlying probability distribution, and its reflection is essentially just generating text that fits conversational expectations rather than truly updating behavioral strategies, so it may repeat the same mistakes.71% similarUnverified同样的模型只改几句提示词，回答效果可能天壤之别，提示词设计本质上是持续测试、不断调整、反复优化的循环71% similarUnverifiedAligned models tend to proactively introduce disclaimers or interrupt conversation flow when handling hypothetical reasoning and role-playing tasks, behaviors that are almost nonexistent in base models.70% similar
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