Large Language Models are useless for linguistics, as they are probabilistic models that require a vast amount of data to analyse externalized strings of words. In contrast, human language is underpinned by a mind-internal computational system that recursively generates hierarchical thought structures. The language system grows with minimal external input and can readily distinguish between real language and impossible languages.

翻译：大语言模型对语言学毫无用处，因为它们是概率模型，需要海量数据来分析外部化的词串。相比之下，人类语言的基础是心智内部的计算系统，该系统递归地生成层级化的思维结构。语言系统在极少外部输入的情况下即可发展，并能轻易区分真实语言与不可能语言。