FORAXION TIMESNOVEMBER 2026

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2026-05-14The Forecasting Machine

“Supercollective Intelligence”: Servan-Schreiber’s 2018 book on crowds and prediction markets comes out in English

The English edition of Émile Servan-Schreiber’s “Supercollectif” is now on Amazon. He argues that ChatGPT and the rise of Polymarket since 2018 support, rather than overturn, the book’s case.

2026-05-12Emile Servan-Schreiber

Why Probabilities Beat Predictions

Point predictions feel decisive, but probabilities tell the truth. Here is why we build every forecast as a distribution, not a single number.

2026-04-23The Forecasting Machine

Hypermind’s April 2026 Senate forecast: almost an even contest

On 23 April 2026, Hypermind’s market put Democratic control of the US Senate at 49.5%. Its House forecast looked very different.

2026-04-19The Forecasting Machine

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.

2026-04-18The Forecasting Machine

At HEC Alumni, a question for AI: can it make the whole organisation smarter?

An April 2026 HEC Alumni conference invitation put cooperation, organisational silos and the effects of AI on collective intelligence on the same agenda.

2026-03-25The Forecasting Machine

The Carnegie Mellon mentors behind Émile Servan-Schreiber’s work on intelligence

Three autobiographical posts connect a 1983 encounter, a 1984 AI project and Raj Reddy’s graduate-school advice to a career studying individual and collective minds.

2026-03-19The Forecasting Machine

On OrgaNova, Servan-Schreiber connects crowd forecasting, organisations and AI

Nicolas Bassan’s OrgaNova interview connects forecasting with organisational decisions. Its central question is how to combine different information without turning a crowd into an echo chamber.

2026-03-17The Forecasting Machine

Gilles Haumont joins The Forecasting Machine as co-founder and CEO

In March 2026, the former luxury-sector chief executive Gilles Haumont became CEO of The Forecasting Machine. He wants to put hard, updated probabilities on the strategic assumptions behind business plans.

2026-03-05The Forecasting Machine

“The readership is an intelligence asset”: Servan-Schreiber in Agenda Pública on crowds, AI and the press

In a March 2026 interview with Agenda Pública, Émile Servan-Schreiber argued that prediction markets beat polls on method, that AI now forecasts as well as a smart crowd, and that newspapers have wasted what their readers know.

2026-03-04The Forecasting Machine

Hypermind and beBartlet bring prediction markets to European strategic consulting

At Mobile World Congress in Barcelona on 4 March 2026, Hypermind and the Spanish public-affairs consultancy beBartlet announced an exclusive alliance to use crowd forecasting and prediction markets in strategic advice across Europe.

2026-03-02The Forecasting Machine

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.

2026-02-17The Forecasting Machine

A one-in-four chance: The Forecasting Machine’s December call on Maduro’s removal

On 3 December 2025, The Forecasting Machine put a 25% probability on Nicolás Maduro leaving power before 31 January 2026. A month later US forces captured him. What the forecast saw, and what a single hit does and does not prove.

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