Can LLMs Predict Experiment Results? Nature Paper Reveals Strong Alignment with Human Data
RobbWiller · x · 2026-07-23
A new paper published in Nature by Stanford researcher Robb Willer and collaborators explores whether Large Language Models (LLMs) can predict the outcomes of social science experiments.
The study finds a strong correspondence (r=0.85) between LLM-predicted effects and actually observed effects across 70 preregistered studies. This suggests significant potential for using LLMs as predictive tools in social science research.
Related event: Nature Study: GPT-4 Can Predict Social Science Experiment Results(18 posts)→
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