Meta’s Muse Spark 1.1 series, released in April 2026 with subsequent refinements, has driven recent gains by posting 58–62% accuracy on Humanity’s Last Exam depending on the evaluation setup and “contemplating” or high-reasoning modes. These scores place Meta models within striking distance of Anthropic’s Claude Mythos and Fable variants while outperforming earlier Llama releases and offering competitive pricing for frontier performance. Ongoing internal scaling efforts, combined with the benchmark’s 2,500 expert-level questions across science and humanities, keep trader attention focused on whether Meta can close the gap or launch a follow-on model before year-end.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于最新
2026-12-31
55%+
45%
60%+
46%
65%+
50%
70%及以上
42%
$0.00 交易量
55%+
$0 交易量
45%
60%+
$0 交易量
46%
65%+
$0 交易量
50%
70%及以上
$0 交易量
42%
This market will resolve to "Yes" if any model published by Meta achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".Meta’s Muse Spark 1.1 series, released in April 2026 with subsequent refinements, has driven recent gains by posting 58–62% accuracy on Humanity’s Last Exam depending on the evaluation setup and “contemplating” or high-reasoning modes. These scores place Meta models within striking distance of Anthropic’s Claude Mythos and Fable variants while outperforming earlier Llama releases and offering competitive pricing for frontier performance. Ongoing internal scaling efforts, combined with the benchmark’s 2,500 expert-level questions across science and humanities, keep trader attention focused on whether Meta can close the gap or launch a follow-on model before year-end.
This market will resolve to "Yes" if any model published by Meta achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
市场开放时间： Jul 23, 2026, 6:48 PM ET
交易量
$0结束日期
2026-12-31市场开放时间
Jul 23, 2026, 6:48 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if any model published by Meta achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".Meta’s Muse Spark 1.1 series, released in April 2026 with subsequent refinements, has driven recent gains by posting 58–62% accuracy on Humanity’s Last Exam depending on the evaluation setup and “contemplating” or high-reasoning modes. These scores place Meta models within striking distance of Anthropic’s Claude Mythos and Fable variants while outperforming earlier Llama releases and offering competitive pricing for frontier performance. Ongoing internal scaling efforts, combined with the benchmark’s 2,500 expert-level questions across science and humanities, keep trader attention focused on whether Meta can close the gap or launch a follow-on model before year-end.
This market will resolve to "Yes" if any model published by Meta achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
交易量
$0结束日期
2026-12-31市场开放时间
Jul 23, 2026, 6:48 PM ETResolver
0x65070BE91...Meta’s Muse Spark 1.1 series, released in April 2026 with subsequent refinements, has driven recent gains by posting 58–62% accuracy on Humanity’s Last Exam depending on the evaluation setup and “contemplating” or high-reasoning modes. These scores place Meta models within striking distance of Anthropic’s Claude Mythos and Fable variants while outperforming earlier Llama releases and offering competitive pricing for frontier performance. Ongoing internal scaling efforts, combined with the benchmark’s 2,500 expert-level questions across science and humanities, keep trader attention focused on whether Meta can close the gap or launch a follow-on model before year-end.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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