Unverified50% confidenceFactExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
Why Does AI Take Such Bad Notes? A Deep Dive into the Limits and Trade-offs of LLM Memory
hackernewshackernews7/3/2026
Related Claims
UnverifiedLarge models are essentially stateless, and multi-turn conversations are implemented by sending the historical conversation records together with each request to the model.81% similarUnverifiedEach 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76% similarPartially VerifiedLarge models are essentially stateless; during each inference, the model can only see the token sequence in the current input and has no persistent memory storage.74% similarUnverifiedLarge models are essentially stateless systems that do not remember previous conversations and require an external memory system to achieve coherence in multi-turn dialogues.73% similar
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