已过期50% 置信事实精确时间
Before ReAct, the mainstream Chain-of-Thought approach focused only on the reasoning chain itself, lacking the ability to interact with the external environment, making it prone to 'hallucination'-style reasoning drift.
1
来源数
50%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30(已过期)
来源
Feedback Loops in Coding Agents: How Failure Becomes Fuel for Fixes
bilibili林森夏AI2026/6/7
相关事实
待验证ReAct 范式突破了传统 Chain-of-Thought 仅做推理而无法与外部世界交互的局限75% 相似待验证作者建议关闭thinking，理由是构建智能体或简单应用大多用不到深度推理，且LangChain对思考模式兼容性还不完善68% 相似待验证现有大语言模型基本停留在因果阶梯的第一层，无法真正执行干预和反事实的因果推理65% 相似待验证Pure reasoning models like Chain of Thought cannot access external tools and may reach wrong conclusions due to gaps in training data.64% 相似待验证自回归生成机制擅长流畅输出，但容易在需要回溯修正的逻辑场景中出错64% 相似
引用此条事实
Stable URI
https://kongchang.com/claim/50195API
curl https://kongchang.com/api/v1/knowledge/claims/50195MCP
get_claim(id=50195)