OpenAI’s September 8 announcement that its internal AI system produced a verified proof resolving the Navier-Stokes existence and smoothness problem has created a tight 50% trader consensus, reflecting both the scale of the achievement and immediate questions over priority. Concurrent work by NYU mathematician Tristan Buckmaster and Anthropic researcher Levent Alpöge on related Euler-equation results and stepping-stone problems, combined with OpenAI’s acknowledgment that rumors of that effort prompted its accelerated agent-based campaign, has introduced uncertainty around credit, independent verification, and whether the Clay Mathematics Institute will formally recognize a sole or joint solution. Key swing factors include the outcome of ongoing peer review, any official statements on authorship or contribution, and potential follow-up releases from either lab clarifying the timeline or formalization details.
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 September 8 announcement that its internal AI system produced a verified proof resolving the Navier-Stokes existence and smoothness problem has created a tight 50% trader consensus, reflecting both the scale of the achievement and immediate questions over priority. Concurrent work by NYU mathematician Tristan Buckmaster and Anthropic researcher Levent Alpöge on related Euler-equation results and stepping-stone problems, combined with OpenAI’s acknowledgment that rumors of that effort prompted its accelerated agent-based campaign, has introduced uncertainty around credit, independent verification, and whether the Clay Mathematics Institute will formally recognize a sole or joint solution. Key swing factors include the outcome of ongoing peer review, any official statements on authorship or contribution, and potential follow-up releases from either lab clarifying the timeline or formalization details.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



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