Unverified50% confidenceFactExact time
Hallucination is not a program bug, but an inherent byproduct of the model's working mechanism of probabilistically predicting the next word.
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50%
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Long-term
Relevance
10/12/2026
First Seen
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Related Claims
VerifiedThe 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.78% similarVerifiedHallucinations stem from the model's optimization objective itself—the model is trained to generate linguistically coherent and statistically plausible continuations, not factually accurate answers.78% similarVerified大语言模型的幻觉问题源于其本质是基于统计概率的序列预测系统，生成的Token基于条件概率最大化而非真正的逻辑推理78% similarVerifiedThe technical root cause of hallucination in large models lies in the autoregressive generation mechanism, where the model predicts only the statistically most likely next token based on the preceding context; researchers divide hallucinations into intrinsic hallucinations and extrinsic hallucinations.78% similarUnverifiedThe root cause of hallucination lies in the fact that LLMs are fundamentally predicting the next most probable token rather than looking up facts in a database.77% similar
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