OpenAI’s September 8 announcement that an unreleased internal model coordinated roughly 10,000 AI agents to produce a Lean-verified proof of a singularity in the Navier-Stokes equations has sharply elevated trader expectations for additional AI-driven Millennium Prize solutions. The result, achieved in 88 hours at an estimated multimillion-dollar compute cost, marks the first full resolution of one of the six remaining problems by an AI lab and follows closely behind a related human-AI collaboration from NYU and Anthropic researchers on Euler regularity. This demonstration of scalable multi-agent reasoning on formally verifiable mathematics has intensified competitive pressure across labs, with traders now monitoring proof scrutiny timelines, follow-on model releases, and whether rival labs replicate or extend the approach before year-end catalysts such as developer conferences or benchmark updates.
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$33,082 Vol.
2026年9月30日
11%
2026年12月31日
24%
2027年12月31日
71%
$33,082 Vol.
2026年9月30日
11%
2026年12月31日
24%
2027年12月31日
71%
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 lab, 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 lab's models, compute, or research credits, will not qualify. No further confirmation from Clay Math Institute or any other organization is required.
The eligible AI labs are Anthropic, Google, SpaceXAI, Alibaba, OpenAI, Baidu, Z.ai, Xiaomi, Moonshot, Meta, Nvidia, DeepSeek, MiniMax, Meituan, Amazon, ByteDance, Mistral, Tencent, StepFun, Microsoft, Harmonic, Axiom Math, Math Inc, Safe Superintelligence, Thinking Machines Lab, Reflection AI, Periodic Labs, Apple, IBM, Huawei, Samsung, Oracle, Salesforce, Cohere, AI21 Labs, Reka, Sakana AI, Poolside, Magic, Perplexity, Anysphere, Kuaishou, SenseTime, iFlytek, Baichuan, and 01.AI, together with their subsidiaries and research divisions, and any other company with a model listed on the MMLU-pro leaderboard (https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro) at the time of the announcement. Announcements by any other company, organization, or individual will not qualify.
The primary resolution source for this market will be official information from the eligible AI labs and/or their official representatives; however, a consensus of credible reporting may also be used.
マーケット開始日: Sep 8, 2026, 3:28 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 the lab, 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 lab's models, compute, or research credits, will not qualify. No further confirmation from Clay Math Institute or any other organization is required.
The eligible AI labs are Anthropic, Google, SpaceXAI, Alibaba, OpenAI, Baidu, Z.ai, Xiaomi, Moonshot, Meta, Nvidia, DeepSeek, MiniMax, Meituan, Amazon, ByteDance, Mistral, Tencent, StepFun, Microsoft, Harmonic, Axiom Math, Math Inc, Safe Superintelligence, Thinking Machines Lab, Reflection AI, Periodic Labs, Apple, IBM, Huawei, Samsung, Oracle, Salesforce, Cohere, AI21 Labs, Reka, Sakana AI, Poolside, Magic, Perplexity, Anysphere, Kuaishou, SenseTime, iFlytek, Baichuan, and 01.AI, together with their subsidiaries and research divisions, and any other company with a model listed on the MMLU-pro leaderboard (https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro) at the time of the announcement. Announcements by any other company, organization, or individual will not qualify.
The primary resolution source for this market will be official information from the eligible AI labs and/or their 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 unreleased internal model coordinated roughly 10,000 AI agents to produce a Lean-verified proof of a singularity in the Navier-Stokes equations has sharply elevated trader expectations for additional AI-driven Millennium Prize solutions. The result, achieved in 88 hours at an estimated multimillion-dollar compute cost, marks the first full resolution of one of the six remaining problems by an AI lab and follows closely behind a related human-AI collaboration from NYU and Anthropic researchers on Euler regularity. This demonstration of scalable multi-agent reasoning on formally verifiable mathematics has intensified competitive pressure across labs, with traders now monitoring proof scrutiny timelines, follow-on model releases, and whether rival labs replicate or extend the approach before year-end catalysts such as developer conferences or benchmark updates.
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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