Dissociating language and thought in large language models: a cognitive perspective
A preprint by Kyle Mahowald and 5 co-authors, arXiv preprint 2301.06627, dated 16 January 2023. arXiv v1 stamp, 16 January 2023.
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- No authorship claim recorded yet. The source record lists Kyle Mahowald, Anna A. Ivanova, Idan A. Blank, Nancy Kanwisher, Joshua B. Tenenbaum and Evelina Fedorenko.
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- Dissociating language and thought in large language models: a cognitive perspective arXiv preprint 2301.06627 · published 2023-01-16 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 052db13bee274a6334b7057eeb5c5844a32af5218189aace4280f7e15b32c337). arXiv v1 of 16 January 2023 (dated 18 January 2023 on the title page). The cross-family check retrieved it again on 2026-10-31, with the same bytes.
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- Arguments about catastrophic risk from advanced AI →1 record on this document
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- Language models lack agency or understandingMahowald, Ivanova, Blank, Kanwisher, Tenenbaum and Fedorenko's paper of January 2023 states that LLMs are close to mastering formal linguistic competence but still fail at functional competence, understanding and using language in the world, and are good models of language but incomplete models of human thought.2023-01-16 · publication · Stated in source · Supported Inspect claim & evidence ↗Language models lack agency or understanding: propositions page →
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