OpenAI’s September 8 announcement of an AI-generated solution to the Navier-Stokes existence and smoothness problem—produced in 88 hours by roughly 10,000 agents on an unreleased internal model far more capable than GPT-6 Astra, then verified in Lean—has sharply raised trader expectations for rapid follow-on claims. The company explicitly stated it would not pursue the Clay Mathematics Institute prize but highlighted ongoing work on at least one additional Millennium problem, framing the result as proof of accelerating AI mathematical reasoning. Competitive pressure from Anthropic-linked researchers on related fluid-dynamics questions, combined with OpenAI’s willingness to deploy millions in compute and swarm-based agent workflows, points to continued aggressive targeting of the remaining unsolved problems. Mathematician scrutiny of the published proof and any new preprints could either accelerate or delay further announcements in the coming weeks.
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$237,210 Vol.
2026年9月30日
14%
2026年12月31日
57%
2027年12月31日
84%
$237,210 Vol.
2026年9月30日
14%
2026年12月31日
57%
2027年12月31日
84%
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 of an AI-generated solution to the Navier-Stokes existence and smoothness problem—produced in 88 hours by roughly 10,000 agents on an unreleased internal model far more capable than GPT-6 Astra, then verified in Lean—has sharply raised trader expectations for rapid follow-on claims. The company explicitly stated it would not pursue the Clay Mathematics Institute prize but highlighted ongoing work on at least one additional Millennium problem, framing the result as proof of accelerating AI mathematical reasoning. Competitive pressure from Anthropic-linked researchers on related fluid-dynamics questions, combined with OpenAI’s willingness to deploy millions in compute and swarm-based agent workflows, points to continued aggressive targeting of the remaining unsolved problems. Mathematician scrutiny of the published proof and any new preprints could either accelerate or delay further announcements in the coming weeks.
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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