Trader consensus on Polymarket heavily favors "No" at 86.5% implied probability that any AI model achieves ≥90% on the FrontierMath benchmark before 2027, driven by stagnant progress on this Epoch AI test of 179 advanced competition math problems. Leading large language models, including OpenAI's o1-preview (peaking at ~2.3% accuracy) and Anthropic's Claude 3.5 Sonnet (~1.9%), remain far below even 10%, underscoring the benchmark's design to probe frontier AI capabilities beyond current scaling laws. Recent releases like o1 in September highlighted reasoning gains on easier math benchmarks (e.g., AIME) but failed to dent FrontierMath scores. Traders anticipate incremental advances from upcoming models at OpenAI's DevDay or DeepMind events, yet view the compute and algorithmic leaps required for 90% as improbable within 2.5 years amid regulatory scrutiny on AI safety.
基于Polymarket数据的AI实验性摘要 · 更新于是
是
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
市场开放时间: Nov 12, 2025, 5:15 PM ET
Resolver
0x65070BE91...The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
Resolver
0x65070BE91...Trader consensus on Polymarket heavily favors "No" at 86.5% implied probability that any AI model achieves ≥90% on the FrontierMath benchmark before 2027, driven by stagnant progress on this Epoch AI test of 179 advanced competition math problems. Leading large language models, including OpenAI's o1-preview (peaking at ~2.3% accuracy) and Anthropic's Claude 3.5 Sonnet (~1.9%), remain far below even 10%, underscoring the benchmark's design to probe frontier AI capabilities beyond current scaling laws. Recent releases like o1 in September highlighted reasoning gains on easier math benchmarks (e.g., AIME) but failed to dent FrontierMath scores. Traders anticipate incremental advances from upcoming models at OpenAI's DevDay or DeepMind events, yet view the compute and algorithmic leaps required for 90% as improbable within 2.5 years amid regulatory scrutiny on AI safety.
基于Polymarket数据的AI实验性摘要 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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