From Binary to Analog Prediction Markets

TMR.NEWS launches as what its creators, Small Brain and Sofiane, call the first natural language prediction market, where users bet on what tomorrow's NYT front page headline will be. The article argues that the current yes/no model of prediction markets only scratches the surface, and that AI-judged, open-ended "analog" markets can ask far more meaningful questions. The product runs on Base with sub-cent bets, uses Reclaim Protocol's zkTLS to verify the NYT headline, and relies on GPT to judge which submissions are closest in meaning to the actual headline. The author also flags a weakness: NYT staff who know the headline could game the system, and identity verification may be needed as a fix.