Recent breakthroughs by frontier AI models have sharply elevated trader focus on 2026 math resolutions. OpenAI’s internal Astra model and related systems reportedly resolved or advanced ten longstanding problems in August, including sphere-packing bounds and non-sofic groups, while September claims center on a proposed solution to the Navier-Stokes existence and smoothness Millennium Problem using multi-agent setups. Parallel progress from Anthropic’s Claude and Google systems includes counterexamples to the Jacobian and Erdős unit-distance conjectures plus rising AI contributions to arXiv preprints, now exceeding 24 percent. Competitive lab releases, formal Lean verifications, and benchmarks such as FrontierMath remain key near-term catalysts that could shift consensus on which open problems cross the resolution threshold by year-end.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$28,841 Vol.
Hadamard Matrix Conjecture
33%
Hodge Conjecture
25%
Beal's Conjecture
17%
Birch and Swinnerton-Dyer
15%
Strong Goldbach Conjecture
14%
Ramsey Number R(5,5)
13%
Collatz Conjecture
10%
Twin Prime Conjecture
10%
Odd Perfect Number
10%
Yang-Mills
8%
Riemann Hypothesis
8%
Hadwiger-Nelson Problem
6%
Legendre's Conjecture
5%
P versus NP
3%
$28,841 Vol.
Hadamard Matrix Conjecture
33%
Hodge Conjecture
25%
Beal's Conjecture
17%
Birch and Swinnerton-Dyer
15%
Strong Goldbach Conjecture
14%
Ramsey Number R(5,5)
13%
Collatz Conjecture
10%
Twin Prime Conjecture
10%
Odd Perfect Number
10%
Yang-Mills
8%
Riemann Hypothesis
8%
Hadwiger-Nelson Problem
6%
Legendre's Conjecture
5%
P versus NP
3%
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.
Market Opened: Sep 9, 2026, 3:44 PM ET
Resolver
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.
Resolver
0x65070be91...Recent breakthroughs by frontier AI models have sharply elevated trader focus on 2026 math resolutions. OpenAI’s internal Astra model and related systems reportedly resolved or advanced ten longstanding problems in August, including sphere-packing bounds and non-sofic groups, while September claims center on a proposed solution to the Navier-Stokes existence and smoothness Millennium Problem using multi-agent setups. Parallel progress from Anthropic’s Claude and Google systems includes counterexamples to the Jacobian and Erdős unit-distance conjectures plus rising AI contributions to arXiv preprints, now exceeding 24 percent. Competitive lab releases, formal Lean verifications, and benchmarks such as FrontierMath remain key near-term catalysts that could shift consensus on which open problems cross the resolution threshold by year-end.
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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