News from the frontier of AI forecasting
FORAXION, the company behind The Forecasting Machine, pushes the limits of actionable foresight.
Results for “collective intelligence”
Crowds versus language models: the more accurate the AI forecaster, the more it errs like humans
A Philosophical Transactions B paper co-authored by Émile Servan-Schreiber compares 76 language-model setups with human crowds on 580 ForecastBench questions and finds evidence for the accuracy–correlation effect.
On B SMART, Servan-Schreiber Explains Why a Panel of AI Models Can Forecast Like a Panel of Experts
On B SMART’s Smart Tech on 2 March 2026, Émile Servan-Schreiber told Delphine Sabattier how The Forecasting Machine combines several language models into one sourced forecast, and why he sees those models as collective intelligence in their own right.
Eleven and a half years of Hypermind forecasts: does a 70% price come true 70% of the time?
Émile Servan-Schreiber recomputed the calibration of the Hypermind prediction market over 1,041 questions resolved from 2014 to the end of 2025. Here is what calibration means and how the result compares with earlier snapshots.
