AI lab announces another Millennium Prize solution by...?

根据「AI lab announces another Millennium Prize solution by...?」的最新预测市场数据，交易者已形成强烈共识。

目前，December 31, 2027 以压倒性的 69.5% 获胜概率主导市场；December 31, 2026 以 32.5% 位居第二，September 30, 2026 以 16% 排名第三。该市场的下注量已达 $75.7K，反映出市场的高度关注。

为了更好地评估各潜在结果的位置，可依据隐含概率与合约定价将市场划分为三个明显的交易梯队：

🥇 第一梯队：绝对领跑者

• December 31, 2027 (69.5%)：December 31, 2027 目前拥有最高概率，深受订单簿青睐。看好该结果的交易者面对的「Buy Yes」合约价为 70¢，显示出市场的高度确信。仅该合约就已产生 $11.7K 的成交量。

🥈 第二梯队：主要挑战者

• December 31, 2026 (32.5%)：作为最可行的替代选项，December 31, 2026 保持着 32.5% 的成真概率，其「Buy Yes」份额目前成交价为 33¢。
• September 30, 2026 (16%)：以 16% 的概率位列第三，市场对 September 30, 2026 持谨慎怀疑态度，除非势头转变，否则视其为外围黑马。

This market will resolve to "Yes" if an eligible AI lab, or an official representative of an eligible AI lab, announces that the lab has solved any of the qualifying Millennium Prize Problems by 11:59 PM ET of the date specified in the title. Otherwise, this market will resolve to "No".

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 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.

人群共识与投机成交塑造了更宏观的预测市场，而我们的量化算法提供了数据驱动的反向视角。通过分析基本面信号、底层趋势与历史分布，我们的 AI 估值模型为每个结果独立测算出一个「公允价值」概率。

将该公允价值与当前交易价值对比，可揭示出重大背离——即期望值（EV）差。正 EV 差代表统计上被低估的结果，而负 EV 差则提示市场可能存在反应过度。

顶级 AI Alpha 与错误定价套利机会

根据最新一轮数据模型测算，以下几个关键合约存在显著偏离：

• 最被高估的结果：December 31, 2026 当前交易价为 32.5%，但我们的 AI 测算其公允价值仅为 25%，形成 -7.6% 的较大负 EV 差，表明人群可能过度炒作该结果、把溢价推得过高。
• 最佳价值标的（最高 EV）：我们的模型将 December 31, 2027 识别为盘面上最具价值的机会。市场仅给予其 69.5% 的交易概率，而我们 AI 的公允价值评估为 71%——形成可观的 +1.5% EV 差。