OpenAI’s September 8 announcement that an unreleased internal model solved the Navier–Stokes existence and smoothness Millennium Prize problem in 88 hours using 10,000 autonomous agents has sharply raised trader expectations for further AI-driven breakthroughs. The result, formalized in Lean and released alongside a technical writeup, demonstrates rapid progress in AI mathematical reasoning and follows closely after related work by NYU mathematician Tristan Buckmaster and Anthropic researcher Levent Alpöge on fluid-dynamics stepping-stone problems. Competitive pressure among labs, combined with the public verification process now underway at the Clay Mathematics Institute, creates a narrow window in which additional solutions could emerge before year-end. Traders are watching for follow-on announcements from Anthropic, Google DeepMind, or Meta, as well as any delays in peer review that might temper momentum.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedSeptember 30, 2026
26%
December 31, 2026
26%
December 31, 2027
58%
$824 Vol.
September 30, 2026
26%
December 31, 2026
26%
December 31, 2027
58%
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.
Market Opened: Sep 8, 2026, 3:28 PM ET
Resolver
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.
Resolver
0x65070BE91...OpenAI’s September 8 announcement that an unreleased internal model solved the Navier–Stokes existence and smoothness Millennium Prize problem in 88 hours using 10,000 autonomous agents has sharply raised trader expectations for further AI-driven breakthroughs. The result, formalized in Lean and released alongside a technical writeup, demonstrates rapid progress in AI mathematical reasoning and follows closely after related work by NYU mathematician Tristan Buckmaster and Anthropic researcher Levent Alpöge on fluid-dynamics stepping-stone problems. Competitive pressure among labs, combined with the public verification process now underway at the Clay Mathematics Institute, creates a narrow window in which additional solutions could emerge before year-end. Traders are watching for follow-on announcements from Anthropic, Google DeepMind, or Meta, as well as any delays in peer review that might temper momentum.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated


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