Research · Updated 24 Oct, 11:34 pm IST
Study finds AI-generated text harder to process than human writing
Why it matters for readers: It helps you understand why some AI-generated writing feels strange and what researchers are changing to fix it.
- AI models use psycholinguistic features associated with reading difficulty more often than round-trip translation paraphrases.1
- Compared with human writing, frontier and near-frontier models use more inanimate subjects with animate verbs and more low-frequency n-grams.1
- Most models also show longer syntactic dependencies, more stacked nouns, and more reduced object relatives in conversation.1
- Researchers propose models are optimized for information density (math, code, reasoning) rather than communicative success, explaining the divergence from human-like language.1
- A proof-of-concept fine-tune with a length penalty causes models to diverge from human-like linguistic behavior, supporting the hypothesis.1
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