OpenAI’s September 8 announcement that an internal model orchestrated roughly 10,000 autonomous agents to produce a Lean-verified proof of finite-time singularity formation in the Navier-Stokes equations has reset expectations for AI-driven solutions to remaining Millennium Prize Problems. The result, achieved in about 88 hours of compute at an estimated $15 million cost, demonstrates scaled multi-agent reasoning on a long-standing open problem while highlighting competitive pressure from parallel Anthropic-linked work on related Euler and Boussinesq cases. Traders are weighing whether this capability leap makes a second public claim—by OpenAI or a rival—more likely before 2027 deadlines, tempered by the need for independent mathematical scrutiny, OpenAI’s decision not to pursue the prize itself, and the greater difficulty of problems such as the Riemann Hypothesis or P versus NP.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoAI lab announces another Millennium Prize solution by...?
$188,347 Wol.
September 30, 2026
28%
December 31, 2026
64%
December 31, 2027
86%
$188,347 Wol.
September 30, 2026
28%
December 31, 2026
64%
December 31, 2027
86%
The qualifying problems are the Riemann Hypothesis, P versus NP, the Yang-Mills existence and mass gap problem, the Hodge Conjecture, and the Birch and Swinnerton-Dyer Conjecture (https://www.claymath.org/millennium-problems/). Announcements concerning the Navier-Stokes existence and smoothness problem will not qualify.
A qualifying announcement 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.
Rynek otwarty: Sep 8, 2026, 3:28 PM ET
Rozstrzygający
0x65070BE91...The qualifying problems are the Riemann Hypothesis, P versus NP, the Yang-Mills existence and mass gap problem, the Hodge Conjecture, and the Birch and Swinnerton-Dyer Conjecture (https://www.claymath.org/millennium-problems/). Announcements concerning the Navier-Stokes existence and smoothness problem will not qualify.
A qualifying announcement 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.
Rozstrzygający
0x65070BE91...OpenAI’s September 8 announcement that an internal model orchestrated roughly 10,000 autonomous agents to produce a Lean-verified proof of finite-time singularity formation in the Navier-Stokes equations has reset expectations for AI-driven solutions to remaining Millennium Prize Problems. The result, achieved in about 88 hours of compute at an estimated $15 million cost, demonstrates scaled multi-agent reasoning on a long-standing open problem while highlighting competitive pressure from parallel Anthropic-linked work on related Euler and Boussinesq cases. Traders are weighing whether this capability leap makes a second public claim—by OpenAI or a rival—more likely before 2027 deadlines, tempered by the need for independent mathematical scrutiny, OpenAI’s decision not to pursue the prize itself, and the greater difficulty of problems such as the Riemann Hypothesis or P versus NP.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano
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