Exploring the role of large language models in the scientific method: from hypothesis to discovery
Aug 5, 2025·
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0 min read
Yanbo Zhang
Sumeer A. Khan
Adnan Mahmud
Huck Yang
Alexander Lavin
Michael Levin
Jeremy Frey
Jared Dunnmon
James Evans
Alan Bundy
Saso Dzeroski
Jesper Tegner
Hector Zenil

Abstract
We review how Large Language Models (LLMs) are redefining the scientific method and explore their potential applications across different stages of the scientific cycle, from hypothesis testing to discovery. We conclude that, for LLMs to serve as relevant and effective creative engines and productivity enhancers, their deep integration into all steps of the scientific process should be pursued in collaboration and alignment with human scientific goals, with clear evaluation metrics.
Type
Publication
npj Artificial Intelligence