dailyai.report

Large language models match human forecasters in predicting social science experiment results. Researchers found LLMs accurately estimated outcomes even for studies published after their training cutoff. The models occasionally overestimated effects, though. This suggests synthetic participants can reliably simulate human behavioral data for rapid hypothesis testing in academic research.