OpenAI’s September 8 announcement that an internal model, guided by roughly 10,000 AI agents, produced a verified Lean formalization solving the Navier-Stokes existence and smoothness Millennium Prize problem in 88 hours has driven the 66.5% market-implied odds favoring the company. The result directly addresses one of the six remaining Clay Institute challenges, outpacing Anthropic researcher Levent Alpöge and collaborator Tristan Buckmaster’s concurrent but narrower advance on forced Euler equations. Traders appear to weigh OpenAI’s demonstrated scale in multi-agent orchestration and rapid iteration more heavily than Anthropic’s supporting role, while noting ongoing mathematical scrutiny, potential data-use disputes, and both labs’ stated focus on additional unsolved problems as key variables that could shift consensus.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoOpenAI
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.
Mercado abierto: 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 September 8 announcement that an internal model, guided by roughly 10,000 AI agents, produced a verified Lean formalization solving the Navier-Stokes existence and smoothness Millennium Prize problem in 88 hours has driven the 66.5% market-implied odds favoring the company. The result directly addresses one of the six remaining Clay Institute challenges, outpacing Anthropic researcher Levent Alpöge and collaborator Tristan Buckmaster’s concurrent but narrower advance on forced Euler equations. Traders appear to weigh OpenAI’s demonstrated scale in multi-agent orchestration and rapid iteration more heavily than Anthropic’s supporting role, while noting ongoing mathematical scrutiny, potential data-use disputes, and both labs’ stated focus on additional unsolved problems as key variables that could shift consensus.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado



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