Author

Richard L. Lewis

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Jul 2026

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 respec...

C. Sripada, Richard L. Lewis · arXiv.org · 0 citations

#natural language process... Preprint Aug 2026

Informational Antilocality and the Locality Bias in LLMs

The ability of transformer-based language models to learn k-antilocal languages, i.e., languages that have no mutual information across any span of $k$ contiguous symbols, is considered, finding that LLMs trained on them achieve comparable cross-entropy loss regardless of antilocality, but converge more slowly on more...

Andrew McInnerney, Shane Storks, Steven P. Abney et al. · 0 citations