Recent OpenAI success solving the Navier-Stokes Millennium Prize Problem via thousands of coordinated AI agents and Lean formalization in early September has lifted expectations for additional breakthroughs before year-end. Traders see 1–2 more solutions as most probable because multi-agent systems and internal frontier models have shown rapid iteration on fluid dynamics, a domain previously resistant to both human and machine approaches. Competitive dynamics hinge on whether Anthropic, Google DeepMind, or others can replicate the scale of compute and agent orchestration quickly enough on remaining problems such as the Hodge Conjecture or Yang-Mills mass gap. Key swing factors include sustained access to specialized hardware, peer review timelines for formal proofs, and any internal lab announcements of new benchmarks or partial results through December.
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2 35%
1 33%
0 19%
3 10.7%
$32,564 Vol.
$32,564 Vol.
0
19%
1
33%
2
35%
3
11%
4
1%
5
1%
2 35%
1 33%
0 19%
3 10.7%
$32,564 Vol.
$32,564 Vol.
0
19%
1
33%
2
35%
3
11%
4
1%
5
1%
Each qualifying problem is counted once, regardless of how many eligible AI labs announce a solution to it or how many announcements are made.
The qualifying problems are, in alphabetical order, the Birch and Swinnerton-Dyer Conjecture, the Hodge Conjecture, P versus NP, the Riemann Hypothesis, and the Yang-Mills existence and mass gap problem (https://www.claymath.org/millennium-problems/). Announcements concerning the Navier-Stokes existence and smoothness problem will not qualify.
A qualifying announcement must be made by an eligible AI lab or an official representative of the lab, and 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 9, 2026, 12:05 PM ET
リゾルバー
0x69c47De9D...Each qualifying problem is counted once, regardless of how many eligible AI labs announce a solution to it or how many announcements are made.
The qualifying problems are, in alphabetical order, the Birch and Swinnerton-Dyer Conjecture, the Hodge Conjecture, P versus NP, the Riemann Hypothesis, and the Yang-Mills existence and mass gap problem (https://www.claymath.org/millennium-problems/). Announcements concerning the Navier-Stokes existence and smoothness problem will not qualify.
A qualifying announcement must be made by an eligible AI lab or an official representative of the lab, and 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
0x69c47De9D...Recent OpenAI success solving the Navier-Stokes Millennium Prize Problem via thousands of coordinated AI agents and Lean formalization in early September has lifted expectations for additional breakthroughs before year-end. Traders see 1–2 more solutions as most probable because multi-agent systems and internal frontier models have shown rapid iteration on fluid dynamics, a domain previously resistant to both human and machine approaches. Competitive dynamics hinge on whether Anthropic, Google DeepMind, or others can replicate the scale of compute and agent orchestration quickly enough on remaining problems such as the Hodge Conjecture or Yang-Mills mass gap. Key swing factors include sustained access to specialized hardware, peer review timelines for formal proofs, and any internal lab announcements of new benchmarks or partial results through December.
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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