OpenAI’s September 8 announcement that an internal multi-agent system solved the Navier-Stokes existence and smoothness problem—one of the remaining Millennium Prize Problems—has sharply raised trader expectations for additional breakthroughs. The effort used roughly 10,000 agents over 88 hours on an unreleased model more capable than GPT-6 Astra, followed by Lean formalization, and came amid reports of parallel work at Anthropic. While OpenAI declined to claim the $1 million prize and emphasized verification needs, the result underscores accelerating AI progress on longstanding math challenges and positions the company ahead in competitive dynamics with other labs. Traders are now watching for signs of similar efforts on the remaining unsolved problems, potential mathematician peer review outcomes, or further internal model disclosures that could trigger the next announcement.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日$214,583 Vol.
2026年9月30日
19%
2026年12月31日
59%
2027年12月31日
85%
$214,583 Vol.
2026年9月30日
19%
2026年12月31日
59%
2027年12月31日
85%
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 OpenAI, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used OpenAI'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/or its official representatives; however, a consensus of credible reporting may also be used.
マーケット開始日: Sep 9, 2026, 12:00 PM ET
リゾルバー
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 OpenAI, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used OpenAI'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/or its official representatives; however, a consensus of credible reporting may also be used.
リゾルバー
0x65070BE91...OpenAI’s September 8 announcement that an internal multi-agent system solved the Navier-Stokes existence and smoothness problem—one of the remaining Millennium Prize Problems—has sharply raised trader expectations for additional breakthroughs. The effort used roughly 10,000 agents over 88 hours on an unreleased model more capable than GPT-6 Astra, followed by Lean formalization, and came amid reports of parallel work at Anthropic. While OpenAI declined to claim the $1 million prize and emphasized verification needs, the result underscores accelerating AI progress on longstanding math challenges and positions the company ahead in competitive dynamics with other labs. Traders are now watching for signs of similar efforts on the remaining unsolved problems, potential mathematician peer review outcomes, or further internal model disclosures that could trigger the next announcement.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日



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