I Sent a Bunch of AI Agents to Manage a Fantasy Football Team. They Still Can't Beat Humans.
WIRED's author used Codex to build a multi-agent system to manage a Premier League fantasy football squad, with agents assigned to read news, analyze match results, run models, and critique one another—but the team's scores in recent weeks still haven't exceeded the average level. Tests by Haifeng Xu of the University of Chicago showed that GPT-5 had the best forecasting performance, followed by Grok 4, Claude Sonnet, Gemini, and Llama, but AI still often lags behind superforecasters. Increasing the number of agents to more than 100 brought no clear improvement and only drove up the API bill.
WIRED's author used Codex to build a multi-agent system to manage a Premier League fantasy football squad, with agents assigned to read news, analyze match results, run models, and critique one another—but the team's scores in recent weeks still haven't exceeded the average level. Tests by Haifeng Xu of the University of Chicago showed that GPT-5 had the best forecasting performance, followed by Grok 4, Claude Sonnet, Gemini, and Llama, but AI still often lags behind superforecasters. Increasing
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