Anthropic's Claude 3.5 Sonnet, released June 20, has demonstrated notable gains in math reasoning on benchmarks like GPQA and AIME, fueling trader optimism for progress on the ultra-challenging FrontierMath benchmark—launched May 29 with 200+ expert-level problems that stump top models at under 5% accuracy. Yet, Anthropic has not publicly disclosed official Claude scores on FrontierMath, despite CEO Dario Amodei's recent comments on prioritizing advanced math capabilities amid competition from OpenAI's o1 series and Google DeepMind. Market-implied odds hinge on whether Anthropic releases evals before June 30, with the benchmark's recency and low baseline scores across AI labs underscoring resolution risks; watch for developer conference announcements or internal progress leaks as key catalysts.
Polymarketデータを参照したAI生成の実験的な要約 · 更新日$47,034 Vol.
50%以上
67%
$47,034 Vol.
50%以上
67%
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.
マーケット開始日: Jan 30, 2026, 12:00 AM ET
Resolver
0x65070BE91...Resolver
0x65070BE91...Anthropic's Claude 3.5 Sonnet, released June 20, has demonstrated notable gains in math reasoning on benchmarks like GPQA and AIME, fueling trader optimism for progress on the ultra-challenging FrontierMath benchmark—launched May 29 with 200+ expert-level problems that stump top models at under 5% accuracy. Yet, Anthropic has not publicly disclosed official Claude scores on FrontierMath, despite CEO Dario Amodei's recent comments on prioritizing advanced math capabilities amid competition from OpenAI's o1 series and Google DeepMind. Market-implied odds hinge on whether Anthropic releases evals before June 30, with the benchmark's recency and low baseline scores across AI labs underscoring resolution risks; watch for developer conference announcements or internal progress leaks as key catalysts.
Polymarketデータを参照したAI生成の実験的な要約 · 更新日
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