Nature paper finds LLMs can predict social-science experiment results
RobbWiller · x · 2026-07-23
The paper argues that large language models can predict results from social-science experiments.
- Title: Large language models can predict the results of social science experiments.
- Authors: Ashwini Ashokkumar, Luke Hewitt, Isaias Ghezae, and Robb Willer.
- Published online in Nature on 8 July 2026.
- The paper studies how far LLM forecasts line up with measured experimental effects, suggesting a potential role in experimental design and triage.
Related event: Nature Study: GPT-4 Can Predict Social Science Experiment Results(18 posts)→
More from Research
- Mathematician Daniel Litt Launches Problem Repo to Track Human vs AI Progress: 15 Problems, 1 Solved — littmath · 2026-09-11
- Open ECDSA.fail challenge uses AI agents to shrink Shor's-algorithm quantum circuits for Bitcoin keys — StefanoGogioso · 2026-09-11
- Alex Townsend posts 200 open problems in numerical linear algebra for humans and AI agents — IgorCarron · 2026-09-11
- Navier-Stokes, Riemann, P vs NP: what this week's math buzzwords mean for you — koltregaskes · 2026-09-11
- Fruit fly brain as an LLM: connectome-driven language model demo goes live — ngxson · 2026-09-11
- Harry Collins: LLMs can't do frontier science because they can't invent new language — whoamisri · 2026-09-11