OpenAI’s recent announcement of an AI-generated proof for a finite-time singularity in the Navier-Stokes equations, formalized in Lean and released publicly on September 8, 2026, forms the core driver of the near-even trader consensus around non-retraction. The effort, involving an internal model more capable than GPT-6 Astra and roughly 10,000 agents over 88 hours, produced a verifiable write-up and repository that narrows the claim to specific statements in the Millennium Prize formulation. Lingering uncertainty stems from the intense credit dispute with NYU mathematician Tristan Buckmaster and Anthropic’s Levent Alpöge over parallel work on related Euler problems, alongside the inherent complexity of independently auditing large-scale AI-assisted mathematics. Key upcoming catalysts include broader community scrutiny of the Lean formalization, potential Clay Mathematics Institute commentary, and any corrections that could emerge before year-end as mathematicians test edge cases and reproducibility.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於是
是
OpenAI's Navier-Stokes solution refers to the Navier-Stokes solution that OpenAI announced on September 8, 2026 (https://openai.com/index/navier-stokes-solution/).
A qualifying retraction occurs when OpenAI officially and publicly states that the published proof was incorrect or does not solve the Navier-Stokes problem. Statements by any other party will not qualify. Revisions that do not retract the correctness of the initial proof as a solution to the Navier-Stokes problem will not qualify. Statements about the authorship, credit, or attribution of the result, or about whether it qualifies for the Millennium Prize, will not on their own qualify.
The primary resolution source for this market will be official information from OpenAI; however, a consensus of credible reporting may also be used.
市場開放時間: Sep 9, 2026, 6:02 PM ET
OpenAI's Navier-Stokes solution refers to the Navier-Stokes solution that OpenAI announced on September 8, 2026 (https://openai.com/index/navier-stokes-solution/).
A qualifying retraction occurs when OpenAI officially and publicly states that the published proof was incorrect or does not solve the Navier-Stokes problem. Statements by any other party will not qualify. Revisions that do not retract the correctness of the initial proof as a solution to the Navier-Stokes problem will not qualify. Statements about the authorship, credit, or attribution of the result, or about whether it qualifies for the Millennium Prize, will not on their own qualify.
The primary resolution source for this market will be official information from OpenAI; however, a consensus of credible reporting may also be used.
OpenAI’s recent announcement of an AI-generated proof for a finite-time singularity in the Navier-Stokes equations, formalized in Lean and released publicly on September 8, 2026, forms the core driver of the near-even trader consensus around non-retraction. The effort, involving an internal model more capable than GPT-6 Astra and roughly 10,000 agents over 88 hours, produced a verifiable write-up and repository that narrows the claim to specific statements in the Millennium Prize formulation. Lingering uncertainty stems from the intense credit dispute with NYU mathematician Tristan Buckmaster and Anthropic’s Levent Alpöge over parallel work on related Euler problems, alongside the inherent complexity of independently auditing large-scale AI-assisted mathematics. Key upcoming catalysts include broader community scrutiny of the Lean formalization, potential Clay Mathematics Institute commentary, and any corrections that could emerge before year-end as mathematicians test edge cases and reproducibility.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於

警惕外部連結哦。
警惕外部連結哦。
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