Unverified50% confidenceFactExact time
There is no module inside an LLM dedicated to storing 'feelings' or 'states'; every output is the result of a conditional probability calculation over the input prompt.
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50%
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Long-term
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10/4/2026
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Related Claims
VerifiedThe output of LLMs is inherently non-deterministic; even with the same Prompt as input, the model may return results with different formats, content, or even logic at different times.73% similarUnverifiedDuring each inference, an LLM only processes the token sequence of the current input and does not retain persistent state across sessions (statelessness).73% similarUnverifiedLLM无法从机制层面区分哪些token是指令、哪些是数据，因为所有输入在进入注意力层前都被统一转换为嵌入表示72% similarPartially VerifiedEach LLM inference is stateless and constrained by the limited context window; the model has no persistent memory of its own.71% similarUnverifiedLLM 的输出非确定性根源于自回归生成机制，即使输入相同，Temperature、Top-p 等采样参数也会导致不同输出71% similar
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