Large language models are not about natural language
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866917149080027136 |
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| author | Bolhuis, Johan J. Moro, Andrea Crain, Stephen Fong, Sandiway |
| author_facet | Bolhuis, Johan J. Moro, Andrea Crain, Stephen Fong, Sandiway |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_13441 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Large language models are not about natural language Bolhuis, Johan J. Moro, Andrea Crain, Stephen Fong, Sandiway Computation and Language Neurons and Cognition 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. |
| title | Large language models are not about natural language |
| topic | Computation and Language Neurons and Cognition |
| url | https://arxiv.org/abs/2512.13441 |