Large language models are not about natural language
Abstract
Large Language Models are useless for linguistics, as they are probabilistic models that require a vast amount of data to analyze 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.
Fields of Study & Subjects
Language and cultural evolution
Natural Language Processing Techniques
Machine Learning and Algorithms
Publication details
- Journal / source
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Volume
- 49
- Pages
- e201–e201
- Publication date
- 1 January 2026
- Language
- EN