OpenAI’s recent resolution of the Navier-Stokes existence and smoothness problem—one of the remaining Millennium Prize Problems—using an internal model and roughly 10,000 coordinated AI agents over 88 hours has reinforced trader consensus around its 64% implied probability lead. The September 8 announcement, verified in Lean, followed rumors of related progress by Anthropic mathematician Levent Alpöge and NYU professor Tristan Buckmaster on a simpler Euler variant, which relied partly on models from both labs but stopped short of a full Millennium solution. OpenAI’s scale of compute, agent orchestration, and prior edge in solving hundreds of hard math problems position it ahead for subsequent breakthroughs, though timelines remain uncertain given potential delays in formal review, model capability shifts, or unexpected contributions from rivals. Upcoming catalysts include further OpenAI disclosures on additional problems and any Anthropic model releases.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedOpenAI
OpenAI
If neither company makes a qualifying announcement by December 31, 2027, 11:59 PM ET, or if both make qualifying announcements on the same calendar day, this market will resolve 50-50. A qualifying announcement by any other company does not end the race or affect resolution.
The qualifying problems are the Riemann Hypothesis, P versus NP, the Yang-Mills existence and mass gap problem, the Hodge Conjecture, and the Birch and Swinnerton-Dyer Conjecture (https://www.claymath.org/millennium-problems/). Announcements concerning the Navier-Stokes existence and smoothness problem will not qualify.
A qualifying announcement must express that the problem has been solved; announcements of partial results or progress toward a solution will not qualify. The announcement must present the solution as the work of the company, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used the company's models, compute, or research credits, will not qualify. No further confirmation from Clay Math Institute or any other organization is required.
The primary resolution source for this market will be official information from OpenAI and Anthropic and/or their official representatives; however, a consensus of credible reporting may also be used.
Market Opened: Sep 9, 2026, 3:42 PM ET
Resolver
0x65070BE91...If neither company makes a qualifying announcement by December 31, 2027, 11:59 PM ET, or if both make qualifying announcements on the same calendar day, this market will resolve 50-50. A qualifying announcement by any other company does not end the race or affect resolution.
The qualifying problems are the Riemann Hypothesis, P versus NP, the Yang-Mills existence and mass gap problem, the Hodge Conjecture, and the Birch and Swinnerton-Dyer Conjecture (https://www.claymath.org/millennium-problems/). Announcements concerning the Navier-Stokes existence and smoothness problem will not qualify.
A qualifying announcement must express that the problem has been solved; announcements of partial results or progress toward a solution will not qualify. The announcement must present the solution as the work of the company, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used the company's models, compute, or research credits, will not qualify. No further confirmation from Clay Math Institute or any other organization is required.
The primary resolution source for this market will be official information from OpenAI and Anthropic and/or their official representatives; however, a consensus of credible reporting may also be used.
Resolver
0x65070BE91...OpenAI’s recent resolution of the Navier-Stokes existence and smoothness problem—one of the remaining Millennium Prize Problems—using an internal model and roughly 10,000 coordinated AI agents over 88 hours has reinforced trader consensus around its 64% implied probability lead. The September 8 announcement, verified in Lean, followed rumors of related progress by Anthropic mathematician Levent Alpöge and NYU professor Tristan Buckmaster on a simpler Euler variant, which relied partly on models from both labs but stopped short of a full Millennium solution. OpenAI’s scale of compute, agent orchestration, and prior edge in solving hundreds of hard math problems position it ahead for subsequent breakthroughs, though timelines remain uncertain given potential delays in formal review, model capability shifts, or unexpected contributions from rivals. Upcoming catalysts include further OpenAI disclosures on additional problems and any Anthropic model releases.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



Beware of external links.
Beware of external links.
Frequently Asked Questions