FORAXION TIMESNOVEMBER 2026

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Results for “prediction markets”

2026-10-12The Forecasting Machine

Hypermind and The Forecasting Machine head to NEXTPredict New York

Émile Servan-Schreiber and Gilles Haumont announce NEXTPredict plans: a crowd-forecasting panel and demonstrations of Hypermind and The Forecasting Machine.

2026-10-09The Forecasting Machine

Hypermind relaunches its public prediction market with a new trading engine

Émile Servan-Schreiber announced Hypermind’s relaunch on 9 October 2026: free participation and cash rewards, with zero fees, adaptive liquidity and MECE order matching.

2026-10-02The Forecasting Machine

Prediction Markets Explained: How to Read Polymarket Odds

What a prediction-market price means, why the resolution rules matter, and how to use Polymarket odds as evidence without mistaking them for certainty.

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.

2026-10-02The Forecasting Machine

Brier Score and Calibration: How to Measure Forecast Accuracy

Calculate a binary Brier score with worked examples, distinguish calibration from accuracy, and compare AI forecasts and prediction markets fairly.

2026-09-28The Forecasting Machine

Four lessons from 25 years of crowd forecasting: Servan-Schreiber at the Lürssen Foundation workshop

At a workshop convened by MIT’s Dražen Prelec in Rijeka on 1–2 October 2026, Émile Servan-Schreiber was scheduled to present four lessons on money, Brier scores, the Bayesian Truth Serum and AI forecasting.

2026-09-22The Forecasting Machine

Polls, Prediction Markets or AI? Servan-Schreiber and Verian’s Laure Salvaing on Reading France’s 2027 Election

In an Atlantico cross-interview, Émile Servan-Schreiber and pollster Laure Salvaing disagreed on what prediction markets measure and whether AI-simulated voters can replace real ones. A B SMART interview the same month added his view that, for forecasting at scale, AI has already won.

2026-09-15The Forecasting Machine

“Those markets are killed forever”: Servan-Schreiber on insider trading and the truth-machine problem

In an interview with Compliance+More on 15 September 2026, Émile Servan-Schreiber argued that suspected insider trading damages the product itself, not just compliance. It drives informed traders out of real-money prediction markets, and play money removes the incentive to rig outcomes.

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.

2026-08-22The Forecasting Machine

A 2017 field guide to prediction markets for foresight, reread in 2026

Futuribles International has made Émile Servan-Schreiber’s 14-page toolbox on prediction markets free to download. Written in 2017 for foresight practitioners, its practical rules still hold, and its list of research frontiers reads differently now that AI forecasting exists.

2026-08-07The Forecasting Machine

Inside NewsFutures’ 2001 US launch: contracts, prizes and early forecasts

USA TODAY’s December 2001 NewsFutures release explains the sports and money partnership, reader trading, points and prizes, and its early forecasting claims.

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