xAI has yet to publish any official Grok score on the FrontierMath benchmark, a rigorous new evaluation of frontier AI capabilities featuring 100 expert-level math problems that have stumped top models like OpenAI's o1-preview (around 2% accuracy). Recent trader sentiment reflects skepticism due to xAI's focus on training Grok-2 atop its massive Memphis supercluster of 100,000 Nvidia H100 GPUs, announced in May, with Elon Musk indicating an August release—well past the June 30 deadline. Competitive pressures from Anthropic's Claude 3.5 Sonnet and OpenAI's o1 series, which dominate math benchmarks like GSM8K, underscore the challenge, while no previews or internal leaks suggest imminent FrontierMath results. Traders eye potential surprises from accelerated training, but historical model release timelines favor low implied probabilities.
基于Polymarket数据的AI实验性摘要 · 更新于25%+
78%
30%+
73%
40%以上
60%
50%以上
23%
$3,171 交易量
25%+
78%
30%+
73%
40%以上
60%
50%以上
23%
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.
市场开放时间: Jan 30, 2026, 12:01 AM ET
Resolver
0x65070BE91...Resolver
0x65070BE91...xAI has yet to publish any official Grok score on the FrontierMath benchmark, a rigorous new evaluation of frontier AI capabilities featuring 100 expert-level math problems that have stumped top models like OpenAI's o1-preview (around 2% accuracy). Recent trader sentiment reflects skepticism due to xAI's focus on training Grok-2 atop its massive Memphis supercluster of 100,000 Nvidia H100 GPUs, announced in May, with Elon Musk indicating an August release—well past the June 30 deadline. Competitive pressures from Anthropic's Claude 3.5 Sonnet and OpenAI's o1 series, which dominate math benchmarks like GSM8K, underscore the challenge, while no previews or internal leaks suggest imminent FrontierMath results. Traders eye potential surprises from accelerated training, but historical model release timelines favor low implied probabilities.
基于Polymarket数据的AI实验性摘要 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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