OpenAI’s September 8 announcement that an internal system of roughly 10,000 AI agents solved the Navier-Stokes existence and smoothness problem has underscored rapid progress in using large language models for formal mathematics, yet traders assign 78% implied probability to zero additional Millennium Prize solutions in 2026. The remaining problems, including the Riemann hypothesis and P versus NP, involve deeper conceptual barriers that have resisted both human and machine efforts for decades, and the short time left in the year limits the scope for new, verifiable breakthroughs. Recent parallel work by Anthropic-affiliated researchers on related fluid equations shows the competitive pace across labs, but full resolution still requires extensive peer review and Lean formalization that rarely occurs quickly. Market-implied odds reflect realistic caution around product timelines, compute costs, and the gap between demonstrated capabilities and guaranteed further wins.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоHow many more Millennium Prize Problems will AI solve in 2026?
0 74%
2 14%
1 12%
3 11%
0
74%
1
12%
2
14%
3
11%
4
8%
5
7%
0 74%
2 14%
1 12%
3 11%
0
74%
1
12%
2
14%
3
11%
4
8%
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.
Ринок відкрито: Sep 9, 2026, 12:05 PM ET
Вирішувач
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.
Вирішувач
0x69c47De9D...OpenAI’s September 8 announcement that an internal system of roughly 10,000 AI agents solved the Navier-Stokes existence and smoothness problem has underscored rapid progress in using large language models for formal mathematics, yet traders assign 78% implied probability to zero additional Millennium Prize solutions in 2026. The remaining problems, including the Riemann hypothesis and P versus NP, involve deeper conceptual barriers that have resisted both human and machine efforts for decades, and the short time left in the year limits the scope for new, verifiable breakthroughs. Recent parallel work by Anthropic-affiliated researchers on related fluid equations shows the competitive pace across labs, but full resolution still requires extensive peer review and Lean formalization that rarely occurs quickly. Market-implied odds reflect realistic caution around product timelines, compute costs, and the gap between demonstrated capabilities and guaranteed further wins.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено


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