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When Google DeepMind unveiled its protein-structure predictor AlphaFold2 in 2020, it upended expectations for what AI could accomplish in science. Few imagined that general-purpose large language models (LLMs), trained on trillions of words and optimized simply to regurgitate humanlike text, might follow suit.
That view is now shifting—tectonically—as LLMs scale up. Last year, they showcased Ph.D.-caliber acumen across a wide swath of science.
CREDITS: (FOOTAGE) AGENTS4SCIENCE; GOOGLE DEEPMIND; THEVISUALMD/SCIENCE SOURCE; (RESEARCH) GUAN ET AL./ADVANCED SCIENCE; ZHANG ET AL./NATURE MACHINE INTELLIGENCE; (VIDEO PRODUCTION) M. CANTWELL/SCIENCE
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