OpenAI’s September 8 announcement of an AI-driven solution to the Navier-Stokes Millennium Prize Problem has solidified trader consensus around its 64.5% implied probability. Using thousands of autonomous agents on an internal model, OpenAI produced a verified proof of finite-time singularity in under four days of compute, outpacing concurrent work by Anthropic researcher Levent Alpöge and NYU’s Tristan Buckmaster on related Euler variants. This builds on OpenAI’s earlier math benchmarks and recent targeting of remaining problems like the Riemann hypothesis and P versus NP. Anthropic’s prior progress on zeta-function bounds and other conjectures shows capability, yet lacks a comparable full Millennium resolution to date. Key near-term catalysts include further verification of OpenAI’s result and any new releases from either lab.
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 of an AI-driven solution to the Navier-Stokes Millennium Prize Problem has solidified trader consensus around its 64.5% implied probability. Using thousands of autonomous agents on an internal model, OpenAI produced a verified proof of finite-time singularity in under four days of compute, outpacing concurrent work by Anthropic researcher Levent Alpöge and NYU’s Tristan Buckmaster on related Euler variants. This builds on OpenAI’s earlier math benchmarks and recent targeting of remaining problems like the Riemann hypothesis and P versus NP. Anthropic’s prior progress on zeta-function bounds and other conjectures shows capability, yet lacks a comparable full Millennium resolution to date. Key near-term catalysts include further verification of OpenAI’s result and any new releases from either lab.
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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