Rapid gains in frontier AI reasoning capabilities explain the 79.5% market-implied odds for an AI model reaching 90% on FrontierMath before 2027. Top models have climbed from under 2% accuracy in late 2024 to 25-48% on Epoch AI’s tiers by mid-2026, driven by improved chain-of-thought, tool integration with code interpreters, and larger-scale training. Recent releases such as OpenAI’s o-series and GPT-5 variants, alongside Google’s Gemini updates, demonstrate accelerating progress on unpublished research-level problems. Traders expect continued scaling and architectural refinements through 2026 developer cycles to close the remaining gap, though benchmark updates and potential plateaus introduce residual uncertainty.
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
$108,442 交易量
$108,442 交易量
2026-12-31
是
$108,442 交易量
$108,442 交易量
2026-12-31
This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used. Rapid gains in frontier AI reasoning capabilities explain the 79.5% market-implied odds for an AI model reaching 90% on FrontierMath before 2027. Top models have climbed from under 2% accuracy in late 2024 to 25-48% on Epoch AI’s tiers by mid-2026, driven by improved chain-of-thought, tool integration with code interpreters, and larger-scale training. Recent releases such as OpenAI’s o-series and GPT-5 variants, alongside Google’s Gemini updates, demonstrate accelerating progress on unpublished research-level problems. Traders expect continued scaling and architectural refinements through 2026 developer cycles to close the remaining gap, though benchmark updates and potential plateaus introduce residual uncertainty.
This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
市場開放時間： Nov 12, 2025, 5:15 PM ET
交易量
$108,442結束日期
2026-12-31市場開放時間
Nov 12, 2025, 5:15 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used. Rapid gains in frontier AI reasoning capabilities explain the 79.5% market-implied odds for an AI model reaching 90% on FrontierMath before 2027. Top models have climbed from under 2% accuracy in late 2024 to 25-48% on Epoch AI’s tiers by mid-2026, driven by improved chain-of-thought, tool integration with code interpreters, and larger-scale training. Recent releases such as OpenAI’s o-series and GPT-5 variants, alongside Google’s Gemini updates, demonstrate accelerating progress on unpublished research-level problems. Traders expect continued scaling and architectural refinements through 2026 developer cycles to close the remaining gap, though benchmark updates and potential plateaus introduce residual uncertainty.
This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
交易量
$108,442結束日期
2026-12-31市場開放時間
Nov 12, 2025, 5:15 PM ETResolver
0x65070BE91...Rapid gains in frontier AI reasoning capabilities explain the 79.5% market-implied odds for an AI model reaching 90% on FrontierMath before 2027. Top models have climbed from under 2% accuracy in late 2024 to 25-48% on Epoch AI’s tiers by mid-2026, driven by improved chain-of-thought, tool integration with code interpreters, and larger-scale training. Recent releases such as OpenAI’s o-series and GPT-5 variants, alongside Google’s Gemini updates, demonstrate accelerating progress on unpublished research-level problems. Traders expect continued scaling and architectural refinements through 2026 developer cycles to close the remaining gap, though benchmark updates and potential plateaus introduce residual uncertainty.
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
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