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6月30日前FrontierMath Benchmark上的OpenAI GPT分数?

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6月30日前FrontierMath Benchmark上的OpenAI GPT分数?

$17,599 交易量

Feb 28, 2026
Polymarket

$17,599 交易量

Polymarket

60%+

$17,599 交易量

53%

70%+

$0 交易量

15%

This market will resolve to "Yes" if any OpenAI GPT model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered. The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.OpenAI's GPT-5.4 Pro set a new FrontierMath benchmark record on March 5, 2026, achieving 50% accuracy on Tiers 1-3 and 38% on the ultra-challenging Tier 4—problems vetted by expert mathematicians that previously topped out at 31% for GPT-5.2 Pro. This leap reflects rapid scaling in large language model mathematical reasoning, including solving a long-open research problem confirmed by Epoch AI, yet leaves a substantial gap to 70% overall, fueling trader caution amid aggressive model iteration. Competitors like Anthropic's Claude Opus 4.6 trail at 40% on early tiers, while upcoming releases—potentially GPT-5.5 or beyond—before June 30 could close the divide, though benchmark contamination risks and evaluation variances add uncertainty to market-implied odds.

OpenAI's GPT-5.4 Pro set a new FrontierMath benchmark record on March 5, 2026, achieving 50% accuracy on Tiers 1-3 and 38% on the ultra-challenging Tier 4—problems vetted by expert mathematicians that previously topped out at 31% for GPT-5.2 Pro. This leap reflects rapid scaling in large language model mathematical reasoning, including solving a long-open research problem confirmed by Epoch AI, yet leaves a substantial gap to 70% overall, fueling trader caution amid aggressive model iteration. Competitors like Anthropic's Claude Opus 4.6 trail at 40% on early tiers, while upcoming releases—potentially GPT-5.5 or beyond—before June 30 could close the divide, though benchmark contamination risks and evaluation variances add uncertainty to market-implied odds.

基于Polymarket数据的AI实验性摘要 · 更新于
This market will resolve to "Yes" if any OpenAI GPT model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered. The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.OpenAI's GPT-5.4 Pro set a new FrontierMath benchmark record on March 5, 2026, achieving 50% accuracy on Tiers 1-3 and 38% on the ultra-challenging Tier 4—problems vetted by expert mathematicians that previously topped out at 31% for GPT-5.2 Pro. This leap reflects rapid scaling in large language model mathematical reasoning, including solving a long-open research problem confirmed by Epoch AI, yet leaves a substantial gap to 70% overall, fueling trader caution amid aggressive model iteration. Competitors like Anthropic's Claude Opus 4.6 trail at 40% on early tiers, while upcoming releases—potentially GPT-5.5 or beyond—before June 30 could close the divide, though benchmark contamination risks and evaluation variances add uncertainty to market-implied odds.

OpenAI's GPT-5.4 Pro set a new FrontierMath benchmark record on March 5, 2026, achieving 50% accuracy on Tiers 1-3 and 38% on the ultra-challenging Tier 4—problems vetted by expert mathematicians that previously topped out at 31% for GPT-5.2 Pro. This leap reflects rapid scaling in large language model mathematical reasoning, including solving a long-open research problem confirmed by Epoch AI, yet leaves a substantial gap to 70% overall, fueling trader caution amid aggressive model iteration. Competitors like Anthropic's Claude Opus 4.6 trail at 40% on early tiers, while upcoming releases—potentially GPT-5.5 or beyond—before June 30 could close the divide, though benchmark contamination risks and evaluation variances add uncertainty to market-implied odds.

基于Polymarket数据的AI实验性摘要 · 更新于

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