Can collective AI intelligence outperform collective human intelligence?

Reddit r/artificial News

Summary

Explores whether ensembles of AI models could outperform human crowds in prediction markets, questioning if AI consensus will eventually surpass human forecasting accuracy.

I've been thinking about something recently: prediction markets have traditionally relied on crowds because the assumption is that large groups of people collectively produce better forecasts. But with modern models becoming surprisingly capable of reasoning and evaluating information, I started wondering whether an ensemble of AI systems could eventually produce better probabilities than a crowd. The idea that multiple AI models could independently estimate the likelihood of real-world events and then combine those estimates into a single probability seems like an interesting alternative to purely human-driven markets. What interests me most is whether AI consensus could eventually outperform human consensus when it comes to forecasting. Would you trust a probability generated by several independent AI models more than a market price created entirely by people? And if not, what do you think current AI systems are still missing when it comes to real-world prediction?
Original Article

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