Unverified70% confidenceFactExact time
The reasoning retention feature only takes effect on models that support reasoning output and does not affect regular conversational models.
2
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
9/17/2026
First Seen
Valid until: 12/16/2026
Sources
Related Entities
Related Claims
VerifiedEach inference call to a large model is an independent forward pass; the model weights are completely fixed during inference and there is no mechanism to preserve state across conversation sessions.79% similarUnverified早期大模型对话是无状态的，模型在推理时仅处理当前输入的token序列，不存在跨请求的内部状态持久化79% similarUnverified对齐后的模型在处理假设性推理和角色扮演任务时倾向于提前引入免责声明或主动中断对话流，这些行为在基座模型中几乎不存在77% similarUnverifiedThe thin adapter layer strategy keeps core task logic unchanged and only adjusts the interface portion that interacts with the model, designing pre-prompts or post-processing logic tailored to the reasoning characteristics of different models.73% similarUnverifiedLarge language models do not modify their parameters during inference; each call is an independent function computation.73% similar
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