Unverified50% confidenceFactExact time
大语言模型的训练目标是最大化下一个Token的预测概率而非最大化代码安全性，这两个目标在数学上不等价
1
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50%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
VerifiedThe training objective of large language models is to predict the next most likely token, not to judge the truthfulness of information.82% 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 logic80% similarUnverifiedLarge language models are optimized to make code look correct rather than to meet current-stage requirements; they are fundamentally probability-statistical machines that predict the next most likely token and excel at reproducing high-frequency patterns from training data.80% similarUnverified主流LLM的预训练采用下一个token预测作为目标，优化的是语言建模损失而非事实准确性77% similar
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