FORAXION TIMESNOVEMBER 2026

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Results for “collective intelligence”

2026-10-09The Forecasting Machine

From worry to decision: Servan-Schreiber’s closing argument in Rijeka

At the Lürssen Foundation seminar in Rijeka, Émile Servan-Schreiber mapped the work around a forecast: defining the problem, shaping questions and making probabilities useful for a decision.

2026-10-02The Forecasting Machine

AI Forecasting vs Prediction Markets: How to Compare the Signals

Compare AI forecasts, Polymarket prices and human crowds on the same question, deadline and evidence cutoff. A practical guide to disagreement, evaluation and decision use.

2026-09-14The Forecasting Machine

Teaching students to forecast: Servan-Schreiber’s seminar at IE University and his class in the UM6P Executive MBA

A new run of “How to predict the future with collective and artificial intelligence” began at IE University on 14 September 2026, with students learning by forecasting in live prediction tournaments.

2026-08-24The Forecasting Machine

“Prediction People”: Servan-Schreiber on why money builds the business but not the forecast

In Stuart Crowley’s “Prediction People” interview, published on 24 August 2026, Émile Servan-Schreiber separated the forecasting mechanism from the business model. He also talked about forecasters who have kept playing for 25 years, AI competing with his own product, and why governments should use crowd forecasts.

2026-08-12The Forecasting Machine

“Performance = Expertise + Diversity”: Servan-Schreiber on the If This Then Dev Podcast

In an hour-long episode of the French developer podcast If This Then Dev, published on 12 August 2026, Émile Servan-Schreiber explained why groups need rules to be smart, how many novices it takes to match an expert, and why he sees large language models as collective intelligence.

2026-07-29The Forecasting Machine

L’Express Interviews Émile Servan-Schreiber on Polymarket and Money-Free Forecasting

Days after France blocked Polymarket, L’Express interviewed Émile Servan-Schreiber, who argues that cash wagering is not what makes a crowd forecast accurate—and who described The Forecasting Machine’s all-AI system to the paper.

2026-07-17The Forecasting Machine

“There Is a Recipe for Collective Intelligence”: Servan-Schreiber’s Institut Diderot Lecture, Now in Print

The Institut Diderot has published the transcript of Émile Servan-Schreiber’s interactive lecture of 5 November 2025 on what makes groups smart, why consensus kills collective intelligence, and why AI still needs diverse human thinking.

2026-07-14The Forecasting Machine

Glimt’s First-Year Results: Crowd Forecasting for Ukraine in Madrid

At a Madrid seminar hosted by Sweden’s ambassador, Émile Servan-Schreiber and FOI’s Ivar Ekman presented Glimt’s first-year crowd-forecasting results.

2026-07-14The Forecasting Machine

Forecasting as a Sovereign Capability: Émile Servan-Schreiber at PDSF 2026

At the Paris Defence and Strategy Forum 2026, our Chief Scientific Advisor argued that collective intelligence and AI forecasting can become strategic infrastructure for national decision-making.

2026-06-02The Forecasting Machine

How farming communities recognize better explanations

A Royal Society study co-authored by Émile Servan-Schreiber examines how farmers recognize useful explanations after comparing anonymous answers from their peers.

2026-05-18The Forecasting Machine

Reasoning, culture and cooperation: UM6P hosts HBES 2026

At UM6P’s Rabat campus, evolutionary researchers gathered for four days of talks on human behaviour, reasoning and culture, co-hosted by the School of Collective Intelligence.

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.

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