Science Explained/Brief
Pilot study asks experts to forecast AI R&D acceleration impacts
METR and the Forecasting Research Institute ran a pilot survey of 8 AI experts and 10 superforecasters. The survey asked them to estimate the likelihood of rapid acceleration and transformative impacts conditional on hypothetical evaluation results.
BriefPublished 15 September 20261 min read1 linked source · 5 checked facts
METR and the Forecasting Research Institute conducted a pilot survey of 8 AI forecasting experts and 10 superforecasters. The survey asked participants to estimate the likelihood of rapid acceleration from automated AI R&D and transformative impacts, conditional on hypothetical evaluation results. The study aims to clarify how to interpret AI R&D evaluation results and where experts disagree. As a pilot, it is an initial exploration, not a definitive forecast.
Our view
This pilot study is a first step to map expert disagreement, but its small sample and hypothetical scenarios mean it cannot yet tell us how likely rapid acceleration is.
What the reporting says: The pilot survey elicited predictions from 8 experts and 10 superforecasters conditional on hypothetical evaluation results, and that significant disagreement remains in interpreting the implications of AI R&D measurements.