Recent announcements from OpenAI on September 8, 2026, claiming its unreleased multi-agent Astra model generated a formal proof for the Navier-Stokes existence and smoothness Millennium Problem in 88 hours using up to 10,000 coordinated agents have sharply elevated trader expectations for AI-driven advances on major open conjectures this year. Complementary progress includes Anthropic’s Claude improving bounds related to the Riemann hypothesis, OpenAI’s earlier disproof of the Erdős unit-distance conjecture, and consistent medal-level or better performance on IMO problems by systems from Google DeepMind and others throughout 2025–2026. These results stem from test-time scaling, multi-agent harnesses, and formal verification tools like Lean, though independent mathematician review of the Navier-Stokes claim remains pending and could introduce volatility if verification hurdles emerge before year-end.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoQuais problemas matemáticos a IA resolverá em 2026?
Conjectura de Hodge
58%
Birch e Swinnerton-Dyer
57%
Hipótese de Riemann
51%
Conjectura de Legendre
50%
Yang-Mills
50%
Conjectura de Collatz
50%
Conjectura Forte de Goldbach
50%
Conjectura dos Primos Gêmeos
50%
Número Perfeito Ímpar
50%
Problema de Hadwiger-Nelson
50%
Conjectura da matriz de Hadamard
50%
Conjectura de Beal
50%
Número de Ramsey R(5,5)
50%
P versus NP
46%
$78 Vol.
Conjectura de Hodge
58%
Birch e Swinnerton-Dyer
57%
Hipótese de Riemann
51%
Conjectura de Legendre
50%
Yang-Mills
50%
Conjectura de Collatz
50%
Conjectura Forte de Goldbach
50%
Conjectura dos Primos Gêmeos
50%
Número Perfeito Ímpar
50%
Problema de Hadwiger-Nelson
50%
Conjectura da matriz de Hadamard
50%
Conjectura de Beal
50%
Número de Ramsey R(5,5)
50%
P versus NP
46%
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.
Mercado Aberto: 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 announcements from OpenAI on September 8, 2026, claiming its unreleased multi-agent Astra model generated a formal proof for the Navier-Stokes existence and smoothness Millennium Problem in 88 hours using up to 10,000 coordinated agents have sharply elevated trader expectations for AI-driven advances on major open conjectures this year. Complementary progress includes Anthropic’s Claude improving bounds related to the Riemann hypothesis, OpenAI’s earlier disproof of the Erdős unit-distance conjecture, and consistent medal-level or better performance on IMO problems by systems from Google DeepMind and others throughout 2025–2026. These results stem from test-time scaling, multi-agent harnesses, and formal verification tools like Lean, though independent mathematician review of the Navier-Stokes claim remains pending and could introduce volatility if verification hurdles emerge before year-end.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado

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