Unverified50% confidenceOpinionExact time
The token prediction mechanism of large language models inherently tends to generate statistically safest and most averaged expressions, which is the technical root cause of Slop.
1
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50%
Confidence
Long-term
Relevance
9/1/2026
First Seen
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Related Claims
UnverifiedLarge language models are optimized to 'maximize the prediction accuracy of the next token,' which naturally inclines them toward generating 'complete, self-consistent' outputs.77% 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.74% similarVerifiedThe essence of large language models is learning the conditional probability distribution of what the next word is given the preceding text73% similarVerifiedLarge language models are fundamentally estimators of the conditional probability distribution P(output|input), with the goal of generating "statistically plausible" text rather than guaranteeing factual accuracy.72% similar
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