Unverified50% confidenceFactExact time
LLM每次生成本质上是独立的条件概率输出，模型没有跨回合的逻辑一致性验证机制
1
Sources
50%
Confidence
Long-term
Relevance
8/10/2026
First Seen
Sources
AI幻觉实录：Perplexity假装登录了你的账户
Related Claims
UnverifiedAlthough LLMs do not directly output normalized probability vectors, decision confidence can be approximately estimated through various engineering methods.76% similarUnverifiedThe essence of LLMs is statistical probability-based sequence prediction rather than true logical reasoning, which creates inherent limitations when handling long-context dependencies, global architectural consistency, and complex edge cases.76% similarPartially VerifiedLLMs use an autoregressive generation mechanism, sampling the next token at each step based solely on a probability distribution.75% similarVerifiedThe root cause of LLM hallucination lies in the autoregressive generation mechanism—the model predicts the next Token based on a probability distribution rather than genuine logical reasoning.74% similarUnverifiedThe behavior of LLMs is inherently probabilistic — even if the same rule is followed 99% of the time, it may still be 'overridden' in complex reasoning chains.72% similar
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