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Large language models surpass human experts in predicting neuroscience results PRIMARY_TEXT retrieval pending

Nature Human Behaviour · 2024-11-27 · no page hash: the reader saw a rendering, not the bytes · created seq 10403

Link: https://www.nature.com/articles/s41562-024-02046-9 · read at 2026-09-28T21:48:28Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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QUOTE `{}`	LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. ... We find that LLMs surpass experts in predicting experimental outcomes.
QUOTE `{}`	The LLMs we considered had been pre-training on a diverse range of text corpora, including Internet sources, Wikipedia, books, code repositories and arXiv papers.

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