Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition
LLMs are widely regarded as alien intelligences, systems whose cognitive operations are fundamentally unlike our own. Apparent similarities to human cognition are therefore often seen as the result of anthropomorphic projection. We argue that this framing is mistaken. LLMs clearly differ from humans in important respects, including their physical substrate, learning history, and the environments with which they interact. These differences make it all the more striking that contemporary LLM-based systems converge with human cognition on a number of principles of cognitive organization with longstanding support in cognitive science. We identify structural correspondences across five dimensi...
| Authors | Chandra Sripada, Richard Lewis |
|---|---|
| Primary category | q-bio.NC |
| Published | 28 July 2026 |
| Last updated at source | 28 July 2026 |
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