OpenAI’s September 8 announcement that an internal model, coordinating roughly 10,000 AI agents, produced a Lean-formalized solution to the Navier–Stokes existence and smoothness problem in 88 hours has sharply lifted trader expectations for additional major breakthroughs before year-end. This marks the first AI-driven resolution of a Millennium Prize Problem and follows a string of 2026 advances, including counterexamples to long-standing Erdős conjectures, improved bounds on the Riemann zeta function, and strong performance on FrontierMath Tier 4 and IMO-ProofBench. Competitive pressure from Anthropic’s Claude variants and Google DeepMind models, combined with rapid iteration on agent harnesses and inference scaling, keeps the field moving quickly. Traders are watching upcoming model releases, Epoch AI benchmark updates, and any further official claims on remaining Millennium problems for signals that could shift probabilities on specific outcomes.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоWhich math problems will AI solve in 2026?
Birch and Swinnerton-Dyer
62%
Hodge Conjecture
57%
Legendre's Conjecture
50%
Yang-Mills
50%
Collatz Conjecture
50%
Strong Goldbach Conjecture
50%
Twin Prime Conjecture
50%
Odd Perfect Number
50%
Hadwiger-Nelson Problem
50%
Hadamard Matrix Conjecture
50%
Beal's Conjecture
50%
Ramsey Number R(5,5)
50%
Riemann Hypothesis
49%
P versus NP
34%
$393 Обс.
Birch and Swinnerton-Dyer
62%
Hodge Conjecture
57%
Legendre's Conjecture
50%
Yang-Mills
50%
Collatz Conjecture
50%
Strong Goldbach Conjecture
50%
Twin Prime Conjecture
50%
Odd Perfect Number
50%
Hadwiger-Nelson Problem
50%
Hadamard Matrix Conjecture
50%
Beal's Conjecture
50%
Ramsey Number R(5,5)
50%
Riemann Hypothesis
49%
P versus NP
34%
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.
Ринок відкрито: Sep 9, 2026, 3:44 PM ET
Вирішувач
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.
Вирішувач
0x65070BE91...OpenAI’s September 8 announcement that an internal model, coordinating roughly 10,000 AI agents, produced a Lean-formalized solution to the Navier–Stokes existence and smoothness problem in 88 hours has sharply lifted trader expectations for additional major breakthroughs before year-end. This marks the first AI-driven resolution of a Millennium Prize Problem and follows a string of 2026 advances, including counterexamples to long-standing Erdős conjectures, improved bounds on the Riemann zeta function, and strong performance on FrontierMath Tier 4 and IMO-ProofBench. Competitive pressure from Anthropic’s Claude variants and Google DeepMind models, combined with rapid iteration on agent harnesses and inference scaling, keeps the field moving quickly. Traders are watching upcoming model releases, Epoch AI benchmark updates, and any further official claims on remaining Millennium problems for signals that could shift probabilities on specific outcomes.
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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