Recent OpenAI announcements detail how thousands of coordinated AI agents on an internal model resolved the Navier-Stokes existence and smoothness problem in under four days, producing a Lean-verified proof of finite-time singularities in fluid dynamics. This marks the first Millennium Prize solution attributed to artificial intelligence systems and has shifted trader sentiment toward one or two additional solves by year-end. The closely matched probabilities for one or two outcomes reflect uncertainty over independent verification timelines, ongoing priority disputes with human-AI collaborative work from Anthropic and NYU researchers, and the greater technical barriers posed by remaining problems such as the Hodge conjecture or Riemann hypothesis. Multi-agent scaling and formal verification advances support further progress, yet historical precedent shows complex mathematical claims often require extended scrutiny before full acceptance.
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?
2 35%
1 33%
0 20%
3 10.7%
$32,601 Обс.
$32,601 Обс.
0
20%
1
33%
2
35%
3
11%
4
2%
5
1%
2 35%
1 33%
0 20%
3 10.7%
$32,601 Обс.
$32,601 Обс.
0
20%
1
33%
2
35%
3
11%
4
2%
5
1%
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...Recent OpenAI announcements detail how thousands of coordinated AI agents on an internal model resolved the Navier-Stokes existence and smoothness problem in under four days, producing a Lean-verified proof of finite-time singularities in fluid dynamics. This marks the first Millennium Prize solution attributed to artificial intelligence systems and has shifted trader sentiment toward one or two additional solves by year-end. The closely matched probabilities for one or two outcomes reflect uncertainty over independent verification timelines, ongoing priority disputes with human-AI collaborative work from Anthropic and NYU researchers, and the greater technical barriers posed by remaining problems such as the Hodge conjecture or Riemann hypothesis. Multi-agent scaling and formal verification advances support further progress, yet historical precedent shows complex mathematical claims often require extended scrutiny before full acceptance.
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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