OpenAI’s September 8, 2026 announcement of an AI-driven solution to the Navier-Stokes existence and smoothness problem—one of the six remaining Millennium Prize Problems—has sharply raised trader expectations for further breakthroughs. An unreleased internal model coordinated roughly 10,000 autonomous agents over 88 hours to produce a Lean-formalized proof of finite-time singularity formation in smooth fluid flows, building on concurrent human-AI work by Anthropic’s Levent Alpöge and NYU’s Tristan Buckmaster. This marks the first AI-led resolution of a classic Millennium problem and highlights accelerating multi-agent reasoning capabilities across labs. Remaining challenges such as the Riemann Hypothesis or P versus NP face intense scrutiny from the mathematics community before any official Clay Institute recognition, while competitive pressure from DeepMind, Anthropic, and others could compress timelines. Key near-term catalysts include independent verifications and any follow-on announcements targeting additional problems before year-end deadlines.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於$71,508 交易量
2026年9月30日
14%
2026年12月31日
37%
2027年12月31日
71%
$71,508 交易量
2026年9月30日
14%
2026年12月31日
37%
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.
市場開放時間: Sep 8, 2026, 3:28 PM ET
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.
OpenAI’s September 8, 2026 announcement of an AI-driven solution to the Navier-Stokes existence and smoothness problem—one of the six remaining Millennium Prize Problems—has sharply raised trader expectations for further breakthroughs. An unreleased internal model coordinated roughly 10,000 autonomous agents over 88 hours to produce a Lean-formalized proof of finite-time singularity formation in smooth fluid flows, building on concurrent human-AI work by Anthropic’s Levent Alpöge and NYU’s Tristan Buckmaster. This marks the first AI-led resolution of a classic Millennium problem and highlights accelerating multi-agent reasoning capabilities across labs. Remaining challenges such as the Riemann Hypothesis or P versus NP face intense scrutiny from the mathematics community before any official Clay Institute recognition, while competitive pressure from DeepMind, Anthropic, and others could compress timelines. Key near-term catalysts include independent verifications and any follow-on announcements targeting additional problems before year-end deadlines.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於

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