OpenAI’s September 2026 announcement that an unreleased internal model, coordinating thousands of AI agents, produced a Lean-formalized proof resolving the Navier-Stokes existence and smoothness problem—one of the Clay Millennium Prize Problems—has accelerated trader focus on additional 2026 breakthroughs. This multi-agent approach, which consumed massive compute to tackle fluid-dynamics singularities, builds on earlier 2026 gains including OpenAI’s ten longstanding problem solutions in August and parallel work by Anthropic on Riemann-related bounds plus formalization of major theorems. Competitive pressure from Google DeepMind’s IMO-level results and FrontierMath benchmarks, where current models solve only a small fraction of research-grade Erdős problems, underscores that while competition-level math is largely mastered, genuine open conjectures remain uncertain. Verification of the Navier-Stokes proof and any follow-on announcements before year-end represent the key near-term catalysts likely to shift market-implied odds on specific problems.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourBirch et Swinnerton-Dyer
63%
Conjecture de Hodge
57%
Hypothèse de Riemann
52%
Conjecture de Legendre
50%
Yang-Mills
50%
Conjecture de Collatz
50%
Forte conjecture de Goldbach
50%
Conjecture des nombres premiers jumeaux
50%
Nombre parfait impair
50%
Problème de Hadwiger-Nelson
50%
Conjecture de la matrice de Hadamard
50%
Conjecture de Beal
50%
Nombre de Ramsey R(5,5)
50%
P contre NP
29%
$398 Vol.
Birch et Swinnerton-Dyer
63%
Conjecture de Hodge
57%
Hypothèse de Riemann
52%
Conjecture de Legendre
50%
Yang-Mills
50%
Conjecture de Collatz
50%
Forte conjecture de Goldbach
50%
Conjecture des nombres premiers jumeaux
50%
Nombre parfait impair
50%
Problème de Hadwiger-Nelson
50%
Conjecture de la matrice de Hadamard
50%
Conjecture de Beal
50%
Nombre de Ramsey R(5,5)
50%
P contre NP
29%
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.
Marché ouvert : Sep 9, 2026, 3:44 PM ET
Résolveur
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.
Résolveur
0x65070BE91...OpenAI’s September 2026 announcement that an unreleased internal model, coordinating thousands of AI agents, produced a Lean-formalized proof resolving the Navier-Stokes existence and smoothness problem—one of the Clay Millennium Prize Problems—has accelerated trader focus on additional 2026 breakthroughs. This multi-agent approach, which consumed massive compute to tackle fluid-dynamics singularities, builds on earlier 2026 gains including OpenAI’s ten longstanding problem solutions in August and parallel work by Anthropic on Riemann-related bounds plus formalization of major theorems. Competitive pressure from Google DeepMind’s IMO-level results and FrontierMath benchmarks, where current models solve only a small fraction of research-grade Erdős problems, underscores that while competition-level math is largely mastered, genuine open conjectures remain uncertain. Verification of the Navier-Stokes proof and any follow-on announcements before year-end represent the key near-term catalysts likely to shift market-implied odds on specific problems.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour

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