FORAXION TIMESOCTOBER 2026

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Results for “interview”

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.

2026-08-24The 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.

2026-07-29The 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.

2026-03-05The 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.

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