Anthropic employee Levent Alpöge, collaborating with mathematician Tristan Buckmaster, recently used Claude and other large language models to deliver major advances on Navier-Stokes precursors, including finite-time blowup results for the 3D Euler equations and related systems, announced just before OpenAI claimed a full solution to the Millennium Prize problem on September 8. These AI-assisted proofs build on prior human work by Córdoba and Martínez-Zoroa, with formal Lean verification adding credibility. Anthropic's own recent Claude releases have shown strong mathematical reasoning, including a verified boost on a Riemann hypothesis-related bound and formalization of Fermat's Last Theorem, amid intense lab competition over AI capabilities in pure math. Upcoming catalysts include further peer review of the related results and any official Anthropic statements on scaling these techniques.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiSeptember 30, 2026
9%
December 31, 2026
22%
December 31, 2027
54%
$2,555 Vol.
September 30, 2026
9%
December 31, 2026
22%
December 31, 2027
54%
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 Anthropic, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used Anthropic'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 Anthropic and/or its official representatives; however, a consensus of credible reporting may also be used.
Pasar Dibuka: Sep 9, 2026, 12:01 PM ET
Resolver
0x65070BE91...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 Anthropic, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used Anthropic'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 Anthropic and/or its official representatives; however, a consensus of credible reporting may also be used.
Resolver
0x65070BE91...Anthropic employee Levent Alpöge, collaborating with mathematician Tristan Buckmaster, recently used Claude and other large language models to deliver major advances on Navier-Stokes precursors, including finite-time blowup results for the 3D Euler equations and related systems, announced just before OpenAI claimed a full solution to the Millennium Prize problem on September 8. These AI-assisted proofs build on prior human work by Córdoba and Martínez-Zoroa, with formal Lean verification adding credibility. Anthropic's own recent Claude releases have shown strong mathematical reasoning, including a verified boost on a Riemann hypothesis-related bound and formalization of Fermat's Last Theorem, amid intense lab competition over AI capabilities in pure math. Upcoming catalysts include further peer review of the related results and any official Anthropic statements on scaling these techniques.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui



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