The market's strong preference for zero additional Millennium Prize Problems solved by AI in 2026 reflects the problems' extreme mathematical depth and the limited time remaining after OpenAI's September 8 announcement that an internal multi-agent system resolved the Navier-Stokes existence and smoothness problem in 88 hours, complete with Lean formalization. While this marks the first AI-driven solution to one of the remaining six open problems and highlights rapid progress in large language model reasoning on fluid dynamics, traders see little evidence of comparable breakthroughs on harder open questions such as the Riemann Hypothesis or P versus NP. Verification by the broader mathematics community, potential disputes over the proof's scope, and the absence of similar claims from other labs all reinforce the view that further resolutions before year-end remain low-probability events despite accelerating AI capabilities.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoHow many more Millennium Prize Problems will AI solve in 2026?
0 78%
2 14%
1 12%
3 11%
0
78%
1
12%
2
14%
3
11%
4
7%
5
7%
0 78%
2 14%
1 12%
3 11%
0
78%
1
12%
2
14%
3
11%
4
7%
5
7%
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.
Rynek otwarty: Sep 9, 2026, 12:05 PM ET
Rozstrzygający
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.
Rozstrzygający
0x69c47De9D...The market's strong preference for zero additional Millennium Prize Problems solved by AI in 2026 reflects the problems' extreme mathematical depth and the limited time remaining after OpenAI's September 8 announcement that an internal multi-agent system resolved the Navier-Stokes existence and smoothness problem in 88 hours, complete with Lean formalization. While this marks the first AI-driven solution to one of the remaining six open problems and highlights rapid progress in large language model reasoning on fluid dynamics, traders see little evidence of comparable breakthroughs on harder open questions such as the Riemann Hypothesis or P versus NP. Verification by the broader mathematics community, potential disputes over the proof's scope, and the absence of similar claims from other labs all reinforce the view that further resolutions before year-end remain low-probability events despite accelerating AI capabilities.
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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