Theory: Typos Disrupt LLM Tokenization, Which May Explain Why AI Text Has a Distinct Smell
menhguin · x · 2026-11-11
cosinedistance theorizes that typos cause slight "discomfort" to LLMs because they disrupt tokenization. menhguin builds on this: models have likely learned to associate typos with human content, since humans violate linguistic norms at a far higher base rate than AI — possibly explaining why LLM output has such a distinct smell.
Related event: Do typos annoy LLMs? Tokenization theory sparks debate(5 posts)→
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