NYU研究：大模型为何写出的文本读起来费劲
Researchers find six patterns that make AI text so exhausting to read
NYU和UT Austin的研究解释了为啥读AI写的东西特别累：代码和数学训练只奖励对，不奖励好读，小模型反而更像人写的。
纽约大学与德州大学奥斯汀分校的研究发现，前沿语言模型会系统性过度使用六类让人类难以解析的语言模式。研究认为根源在于模型在代码和数学语料上训练，这类数据只奖励正确性，不奖励清晰度。对比之下，规模较小的模型写出的文本反而更接近人类习惯。
Researchers find six patterns that make AI text so exhausting to read
A study from New York University and the University of Texas at Austin shows that frontier language models systematically overuse linguistic patterns that are hard for humans to parse. The researchers trace the problem to training on code and math, where correctness gets rewarded but clarity doesn't. Smaller models, by contrast, write more like humans. The article Researchers find six patterns that make AI text so exhausting to read appeared first on The Decoder .
