Why is AI generated language so hard to understand?
What happened
The paper investigates why AI‑generated language feels harder to understand, finding that AI models use more psycholinguistic features linked to processing difficulty—such as inanimate subjects with animate verbs, low‑frequency n‑grams, longer syntactic dependencies, stacked nouns, and reduced object relatives—than human writing or round‑trip translation. The authors propose that this stems from AI models being optimized for information density rather than successful communication, and they demonstrate that applying a length penalty during fine‑tuning pushes models further from human‑like linguistic behavior.
Why it matters
These findings reveal a misalignment between how humans process language and how large language models generate text, suggesting that addressing this gap could improve the readability and communicative effectiveness of AI‑generated language.
Is this a big deal?
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