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icon for 2027年之前,人工智能模型在FrontierMath Benchmark上的得分≥ 90% ?

2027年之前,人工智能模型在FrontierMath Benchmark上的得分≥ 90% ?

icon for 2027年之前,人工智能模型在FrontierMath Benchmark上的得分≥ 90% ?

2027年之前,人工智能模型在FrontierMath Benchmark上的得分≥ 90% ?

12月 31

12月 31

23% 概率
Polymarket

$66,253 交易量

23% 概率
Polymarket

$66,253 交易量

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. Trader consensus prices a slim 23.5% chance of any AI model reaching 90% on the FrontierMath benchmark before 2027, reflecting the benchmark's design as a gauntlet of unsolved research-level math problems across Tiers 1-4 that have stymied even leading large language models. Top scores hover around 52% for OpenAI's GPT-5.5 Pro overall and 48% on the hardest Tier 4 via Google DeepMind's new multi-agent AI co-mathematician, which doubled prior baselines through stateful workflows and proof verification—yet still far from dominance. Epoch AI's May 12 review, where GPT-5.5 flagged fatal errors in roughly one-third of problems (mostly confirmed valid), signals potential score revisions downward. With 19 months left, rapid agentic gains offer upside, but sustained scaling plateaus and open-problem barriers sustain skepticism absent major architectural breakthroughs or upcoming releases like GPT-5.6.

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.
交易量
$66,253
结束日期
2026-12-31
市场开放时间
Nov 12, 2025, 5:15 PM ET
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.
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. Trader consensus prices a slim 23.5% chance of any AI model reaching 90% on the FrontierMath benchmark before 2027, reflecting the benchmark's design as a gauntlet of unsolved research-level math problems across Tiers 1-4 that have stymied even leading large language models. Top scores hover around 52% for OpenAI's GPT-5.5 Pro overall and 48% on the hardest Tier 4 via Google DeepMind's new multi-agent AI co-mathematician, which doubled prior baselines through stateful workflows and proof verification—yet still far from dominance. Epoch AI's May 12 review, where GPT-5.5 flagged fatal errors in roughly one-third of problems (mostly confirmed valid), signals potential score revisions downward. With 19 months left, rapid agentic gains offer upside, but sustained scaling plateaus and open-problem barriers sustain skepticism absent major architectural breakthroughs or upcoming releases like GPT-5.6.

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.
交易量
$66,253
结束日期
2026-12-31
市场开放时间
Nov 12, 2025, 5:15 PM ET
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.

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