OpenAI’s September 2026 claim that an unreleased internal model solved the Navier-Stokes Millennium Prize Problem—using up to 10,000 coordinated AI agents over 88 hours and producing a Lean formal proof—has sharply shifted trader sentiment toward faster AI progress on hard math. This follows OpenAI’s August release of ten substantial advances by its Astra model across geometry, combinatorics, and theoretical computer science, plus Anthropic’s Claude improvements on Riemann zeta bounds and formalization of Fermat’s Last Theorem. Multi-agent systems, heavy inference scaling, and Lean verification are driving the surge, with labs racing on FrontierMath-style benchmarks and open problems. Verification of the Navier-Stokes result and further 2026 announcements remain key swing factors amid high compute costs and the need for independent expert review.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วRiemann Hypothesis
51%
Strong Goldbach Conjecture
51%
Legendre's Conjecture
50%
P versus NP
50%
Yang-Mills
50%
Hodge Conjecture
50%
Birch and Swinnerton-Dyer
50%
Collatz Conjecture
50%
Twin Prime Conjecture
50%
Odd Perfect Number
50%
Hadwiger-Nelson Problem
50%
Hadamard Matrix Conjecture
50%
Beal's Conjecture
50%
Ramsey Number R(5,5)
50%
$0.00 ปริมาณ
Riemann Hypothesis
51%
Strong Goldbach Conjecture
51%
Legendre's Conjecture
50%
P versus NP
50%
Yang-Mills
50%
Hodge Conjecture
50%
Birch and Swinnerton-Dyer
50%
Collatz Conjecture
50%
Twin Prime Conjecture
50%
Odd Perfect Number
50%
Hadwiger-Nelson Problem
50%
Hadamard Matrix Conjecture
50%
Beal's Conjecture
50%
Ramsey Number R(5,5)
50%
A qualifying announcement must be made by an eligible AI lab or an official representative of the lab, and must express that the problem specified in the title 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 the Clay Mathematics 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.
ตลาดเปิดเมื่อ: Sep 9, 2026, 3:44 PM ET
ผู้ตัดสินผล
0x65070BE91...A qualifying announcement must be made by an eligible AI lab or an official representative of the lab, and must express that the problem specified in the title 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 the Clay Mathematics 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.
ผู้ตัดสินผล
0x65070BE91...OpenAI’s September 2026 claim that an unreleased internal model solved the Navier-Stokes Millennium Prize Problem—using up to 10,000 coordinated AI agents over 88 hours and producing a Lean formal proof—has sharply shifted trader sentiment toward faster AI progress on hard math. This follows OpenAI’s August release of ten substantial advances by its Astra model across geometry, combinatorics, and theoretical computer science, plus Anthropic’s Claude improvements on Riemann zeta bounds and formalization of Fermat’s Last Theorem. Multi-agent systems, heavy inference scaling, and Lean verification are driving the surge, with labs racing on FrontierMath-style benchmarks and open problems. Verification of the Navier-Stokes result and further 2026 announcements remain key swing factors amid high compute costs and the need for independent expert review.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว

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