Unverified50% confidenceFactExact time
大语言模型通过自监督预训练学习token序列的条件概率分布，本质上是统计压缩模型，无法通过统计特征区分正确与错误的数学证明
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Can AI Prove Mathematical Conjectures? The Truth Behind the GPT-5.6 Incident and the Limits of Large Language Models
hackernewshackernews7/10/2026
Related Claims
VerifiedWhen input information is incomplete, large language models complete it based on the most common patterns in their training data, which is statistically called maximum likelihood estimation.80% similarVerifiedThe essence of large language models is learning the conditional probability distribution of what the next word is given the preceding text79% similarPartially VerifiedThe underlying mechanism by which large language models generate code is conditional probability prediction based on massive training corpora, and the model does not truly understand code logic79% similarUnverified大语言模型的参数量从数十亿到数千亿不等，本质上是对训练数据中统计规律的压缩存储77% similar
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