Traders assign an 86.5% implied probability to "No" on any AI model achieving ≥90% on the FrontierMath benchmark before 2027, anchored by its November 2024 launch from METR and Epoch AI, which exposed leading large language models' failures—OpenAI's o1 at 1.6%, Anthropic's Claude 3.5 Sonnet at 2.1%, and Google's Gemini 2.0 below 1%. This 200-problem test demands novel mathematical proofs and insights, resisting current scaling laws that propelled prior benchmarks like MATH to ~90%. Absent paradigm-shifting architectures or massive compute leaps, trader consensus reflects cautious extrapolation from demonstrated AI capabilities, though upcoming releases like GPT-5 or Claude 4 could catalyze shifts if they demonstrate frontier math breakthroughs.
Experimental AI-generated summary referencing Polymarket data · UpdatedThe primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
Market Opened: 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...Traders assign an 86.5% implied probability to "No" on any AI model achieving ≥90% on the FrontierMath benchmark before 2027, anchored by its November 2024 launch from METR and Epoch AI, which exposed leading large language models' failures—OpenAI's o1 at 1.6%, Anthropic's Claude 3.5 Sonnet at 2.1%, and Google's Gemini 2.0 below 1%. This 200-problem test demands novel mathematical proofs and insights, resisting current scaling laws that propelled prior benchmarks like MATH to ~90%. Absent paradigm-shifting architectures or massive compute leaps, trader consensus reflects cautious extrapolation from demonstrated AI capabilities, though upcoming releases like GPT-5 or Claude 4 could catalyze shifts if they demonstrate frontier math breakthroughs.
Experimental AI-generated summary referencing Polymarket data · Updated
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