AI Superforecasters Are Here: Frontier Models Turn $35 Into $2M on Prediction Markets
The AI Superforecasters Are Here
Scott Alexander reports from a prediction market conference where AI forecasters are now making real money. Preseen turned $35 into $2M on Kalshi in 7 months; FutureSearch claims a 25% market-neutral edge over stocks and similar margins on Kalshi and Polymarket. He tested FutureSearch on the probability of US respiratory infections halving by 2040: the AI deployed 3 sub-agents, read 16 sites, cost $8 and 5 minutes, and returned 7% with 212 sources. Preseen gave 8.8% on the same question. A human superforecaster was also consulted, but the post does not disclose her number. These systems wrap frontier models like Claude or ChatGPT in a scaffold that runs long research chains with sub-agents and tools—slower and pricier than a normal chat, but capable of placing bets.
Why it matters: Scott Alexander reports concrete returns from AI forecasters with named startups and numbers. Held at 78 because it's a personal blog relay without reproducible methodology—strong signal, not yet a paper or product release.