Study Reveals Frontier Language Models Struggle with Clarity

A study from New York University and the University of Texas at Austin found that frontier language models often use linguistic patterns that are difficult for humans to parse. The researchers attribute this issue to training on code and mathematics, where correctness is rewarded but clarity is not prioritized. In contrast, smaller models tend to write more like humans, highlighting the need for improvements in the clarity of texts produced by AI models.