Recent advancements in large language models have boosted AI performance on complex mathematical reasoning, particularly through hybrid systems combining neural networks with formal proof tools. OpenAI's o1 series and DeepMind's AlphaProof have demonstrated strong results on benchmarks like MATH and IMO-level problems, driving trader focus on whether 2026 will see solutions to longstanding challenges such as aspects of the Riemann hypothesis or P versus NP. Competitive dynamics among labs emphasize scaling test-time compute and symbolic integration, while upcoming model releases and the 2026 IMO could shift implied probabilities. Market sentiment reflects uncertainty around timelines, as technical hurdles and verification standards remain key resolution factors.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว$25,631 ปริมาณ
Hadamard Matrix Conjecture
33%
Birch and Swinnerton-Dyer
21%
Beal's Conjecture
16%
Hodge Conjecture
24%
Strong Goldbach Conjecture
14%
Ramsey Number R(5,5)
12%
Twin Prime Conjecture
10%
Odd Perfect Number
10%
Riemann Hypothesis
8%
Hadwiger-Nelson Problem
8%
Yang-Mills
7%
Collatz Conjecture
6%
Legendre's Conjecture
4%
P versus NP
3%
$25,631 ปริมาณ
Hadamard Matrix Conjecture
33%
Birch and Swinnerton-Dyer
21%
Beal's Conjecture
16%
Hodge Conjecture
24%
Strong Goldbach Conjecture
14%
Ramsey Number R(5,5)
12%
Twin Prime Conjecture
10%
Odd Perfect Number
10%
Riemann Hypothesis
8%
Hadwiger-Nelson Problem
8%
Yang-Mills
7%
Collatz Conjecture
6%
Legendre's Conjecture
4%
P versus NP
3%
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.
ตลาดเปิดเมื่อ: Sep 9, 2026, 3:44 PM ET
ผู้ตัดสินผล
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.
ผู้ตัดสินผล
0x65070BE91...Recent advancements in large language models have boosted AI performance on complex mathematical reasoning, particularly through hybrid systems combining neural networks with formal proof tools. OpenAI's o1 series and DeepMind's AlphaProof have demonstrated strong results on benchmarks like MATH and IMO-level problems, driving trader focus on whether 2026 will see solutions to longstanding challenges such as aspects of the Riemann hypothesis or P versus NP. Competitive dynamics among labs emphasize scaling test-time compute and symbolic integration, while upcoming model releases and the 2026 IMO could shift implied probabilities. Market sentiment reflects uncertainty around timelines, as technical hurdles and verification standards remain key resolution factors.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว


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