OpenAI’s recent announcement that an internal model solved the Navier-Stokes Millennium Prize Problem in under four days using thousands of AI agents and Lean formalization has anchored trader sentiment around one additional solution in 2026. The result, released September 8 amid parallel human-AI progress on related fluid equations, marks the first AI-generated resolution of a remaining Millennium problem and reflects accelerating large language model capabilities in formal mathematics. With four months left in the year, markets assign 55% probability to exactly one total, citing the computational scale required and limited evidence of comparable breakthroughs on problems like the Riemann hypothesis. Higher counts remain possible if multi-agent systems scale rapidly, while zero additional solutions stay viable given verification timelines and the historical pace of mathematical discovery.
Tóm tắt AI thử nghiệm tham chiếu dữ liệu Polymarket. Đây không phải tư vấn giao dịch và không ảnh hưởng đến cách thị trường này được giải quyết. · Cập nhật2 57%
0 20%
3 7.5%
5 1.0%
0
30%
1
46%
2
37%
3
8%
4
31%
5
7%
2 57%
0 20%
3 7.5%
5 1.0%
0
30%
1
46%
2
37%
3
8%
4
31%
5
7%
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.
Thị trường mở: Sep 9, 2026, 12:05 PM ET
Người giải quyết
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.
Người giải quyết
0x69c47De9D...OpenAI’s recent announcement that an internal model solved the Navier-Stokes Millennium Prize Problem in under four days using thousands of AI agents and Lean formalization has anchored trader sentiment around one additional solution in 2026. The result, released September 8 amid parallel human-AI progress on related fluid equations, marks the first AI-generated resolution of a remaining Millennium problem and reflects accelerating large language model capabilities in formal mathematics. With four months left in the year, markets assign 55% probability to exactly one total, citing the computational scale required and limited evidence of comparable breakthroughs on problems like the Riemann hypothesis. Higher counts remain possible if multi-agent systems scale rapidly, while zero additional solutions stay viable given verification timelines and the historical pace of mathematical discovery.
Tóm tắt AI thử nghiệm tham chiếu dữ liệu Polymarket. Đây không phải tư vấn giao dịch và không ảnh hưởng đến cách thị trường này được giải quyết. · Cập nhật


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