Recent OpenAI claims of solving the Navier-Stokes problem via multi-agent systems and Lean formalization have heightened trader focus on AI's advancing mathematical reasoning, yet the close contest between no solution by end-2027 at 30.5% implied probability and Hodge Conjecture at 26.5% underscores uncertainty in timelines. Differentiating factors include the abstract geometric nature of Hodge versus analytic or computational demands of Riemann Hypothesis or P versus NP, alongside variable large language model performance on formal verification benchmarks. Upcoming model releases and peer review of these proofs remain key catalysts that could shift sentiment on remaining Millennium problems.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วNo solution by Dec 31, 2027 31%
Hodge Conjecture 27%
Birch and Swinnerton-Dyer 20%
Riemann Hypothesis 14%
No solution by Dec 31, 2027
31%
Hodge Conjecture
27%
Birch and Swinnerton-Dyer
20%
Riemann Hypothesis
14%
P versus NP
8%
Yang-Mills
3%
No solution by Dec 31, 2027 31%
Hodge Conjecture 27%
Birch and Swinnerton-Dyer 20%
Riemann Hypothesis 14%
No solution by Dec 31, 2027
31%
Hodge Conjecture
27%
Birch and Swinnerton-Dyer
20%
Riemann Hypothesis
14%
P versus NP
8%
Yang-Mills
3%
If no eligible AI lab announces a solution to a qualifying problem by December 31, 2027, 11:59 PM ET, this market will resolve to "No solution by Dec 31, 2027". If solutions to two or more qualifying problems are announced on the same calendar day (ET), this market will resolve to the problem whose name, as listed below, comes first in alphabetical order.
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.
ตลาดเปิดเมื่อ: Sep 9, 2026, 3:43 PM ET
ผู้ตัดสินผล
0x69c47De9D...If no eligible AI lab announces a solution to a qualifying problem by December 31, 2027, 11:59 PM ET, this market will resolve to "No solution by Dec 31, 2027". If solutions to two or more qualifying problems are announced on the same calendar day (ET), this market will resolve to the problem whose name, as listed below, comes first in alphabetical order.
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.
ผู้ตัดสินผล
0x69c47De9D...Recent OpenAI claims of solving the Navier-Stokes problem via multi-agent systems and Lean formalization have heightened trader focus on AI's advancing mathematical reasoning, yet the close contest between no solution by end-2027 at 30.5% implied probability and Hodge Conjecture at 26.5% underscores uncertainty in timelines. Differentiating factors include the abstract geometric nature of Hodge versus analytic or computational demands of Riemann Hypothesis or P versus NP, alongside variable large language model performance on formal verification benchmarks. Upcoming model releases and peer review of these proofs remain key catalysts that could shift sentiment on remaining Millennium problems.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว

ระวังลิงก์ภายนอก
ระวังลิงก์ภายนอก
คำถามที่พบบ่อย