OpenAI’s Noam Brown reveals how AI agents solved a Millennium Prize Problem in 88 hours

A team of roughly 10,000 AI agents working together cracked one of mathematics’ most famous unsolved problems in under four days. And according to the OpenAI researcher who helped make it happen, the multi-agent coordination part barely mattered. Noam Brown, speaking on the Dwarkesh Podcast on September 17, 2026, laid out a vision of AGI that’s equal parts impressive and humbling. The headline result, solving the Navier-Stokes Millennium Prize Problem using 130 billion tokens across 88 hours, sounds like a triumph for collaborative AI. But Brown estimated that multi-agent coordination contributed less than 10% of the breakthrough. The automated research intern, still needs a supervisor OpenAI’s current crop of AI agents function as what the company calls “automated research interns.” These systems can deliver outputs 3.1 times what human researchers produce on multi-day tasks. Over 50% of those tasks still require human oversight to stay on track. Brown pinpointed the bottleneck with unusual specificity. The missing ingredient is what he called “research taste,” the intuitive ability to judge whether a research direction is genuinely significant and original. That quality, Brown no...