Recent OpenAI claims of solving the Navier-Stokes Millennium Prize Problem via an internal model and thousands of AI agents on September 8, 2026, have intensified competition among AI labs, yet Anthropic has not issued any official announcement claiming a solution to the qualifying problems (Riemann Hypothesis, P versus NP, Yang-Mills, Hodge conjecture, or Birch and Swinnerton-Dyer). Anthropic researcher Levent Alpöge collaborated with mathematician Tristan Buckmaster on AI-assisted proofs for related fluid dynamics results using Claude and other large language models, producing Lean-verified work on Euler equations and stepping-stone problems, but these fall short of market criteria. Traders are monitoring for company statements, Clay Institute recognition, or further model-driven advances in formal mathematics, as Anthropic’s prior AI math efforts—like improving Riemann zeta bounds—demonstrate capability without crossing into full prize resolutions.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว$41,193 ปริมาณ
September 30, 2026
17%
December 31, 2026
47%
December 31, 2027
76%
$41,193 ปริมาณ
September 30, 2026
17%
December 31, 2026
47%
December 31, 2027
76%
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 Anthropic, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used Anthropic's models, compute, or research credits, will not qualify. No further confirmation from Clay Math Institute or any other organization is required.
The primary resolution source for this market will be official information from Anthropic and/or its official representatives; however, a consensus of credible reporting may also be used.
ตลาดเปิดเมื่อ: Sep 9, 2026, 12:01 PM ET
ผู้ตัดสินผล
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 Anthropic, its researchers, or its models, alone or jointly with outside researchers. An announcement that only credits or congratulates outside researchers, including researchers who used Anthropic's models, compute, or research credits, will not qualify. No further confirmation from Clay Math Institute or any other organization is required.
The primary resolution source for this market will be official information from Anthropic and/or its official representatives; however, a consensus of credible reporting may also be used.
ผู้ตัดสินผล
0x65070BE91...Recent OpenAI claims of solving the Navier-Stokes Millennium Prize Problem via an internal model and thousands of AI agents on September 8, 2026, have intensified competition among AI labs, yet Anthropic has not issued any official announcement claiming a solution to the qualifying problems (Riemann Hypothesis, P versus NP, Yang-Mills, Hodge conjecture, or Birch and Swinnerton-Dyer). Anthropic researcher Levent Alpöge collaborated with mathematician Tristan Buckmaster on AI-assisted proofs for related fluid dynamics results using Claude and other large language models, producing Lean-verified work on Euler equations and stepping-stone problems, but these fall short of market criteria. Traders are monitoring for company statements, Clay Institute recognition, or further model-driven advances in formal mathematics, as Anthropic’s prior AI math efforts—like improving Riemann zeta bounds—demonstrate capability without crossing into full prize resolutions.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว


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