Meta’s Muse Spark 1.1 has posted the strongest recent results among the company’s releases on Humanity’s Last Exam, reaching 62.1% on September 2026 leaderboards and trailing only Anthropic’s Claude Fable 5.1 and Opus 5. These scores reflect Meta’s focus on scaling reasoning capabilities in its latest large language models, though they remain several points behind the top closed models. With roughly three months left in 2026, further refinements, new variants, or tool-augmented evaluations could lift Meta’s peak score, while benchmark updates and competitive releases from other labs introduce ongoing uncertainty. Trader sentiment centers on whether Meta can close the remaining gap before year-end resolution.
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$49,428 交易量
2026-12-31
55%+
39%
60%+
25%
65%+
20%
70%及以上
7%
$49,428 交易量
55%+
$29,263 交易量
39%
60%+
$11,939 交易量
25%
65%+
$6,463 交易量
20%
70%及以上
$1,763 交易量
7%
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 has posted the strongest recent results among the company’s releases on Humanity’s Last Exam, reaching 62.1% on September 2026 leaderboards and trailing only Anthropic’s Claude Fable 5.1 and Opus 5. These scores reflect Meta’s focus on scaling reasoning capabilities in its latest large language models, though they remain several points behind the top closed models. With roughly three months left in 2026, further refinements, new variants, or tool-augmented evaluations could lift Meta’s peak score, while benchmark updates and competitive releases from other labs introduce ongoing uncertainty. Trader sentiment centers on whether Meta can close the remaining gap before year-end resolution.
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
$49,428结束日期
2027-01-01市场开放时间
Jul 23, 2026, 6:48 PM ETThis 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 has posted the strongest recent results among the company’s releases on Humanity’s Last Exam, reaching 62.1% on September 2026 leaderboards and trailing only Anthropic’s Claude Fable 5.1 and Opus 5. These scores reflect Meta’s focus on scaling reasoning capabilities in its latest large language models, though they remain several points behind the top closed models. With roughly three months left in 2026, further refinements, new variants, or tool-augmented evaluations could lift Meta’s peak score, while benchmark updates and competitive releases from other labs introduce ongoing uncertainty. Trader sentiment centers on whether Meta can close the remaining gap before year-end resolution.
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
$49,428结束日期
2027-01-01市场开放时间
Jul 23, 2026, 6:48 PM ETMeta’s Muse Spark 1.1 has posted the strongest recent results among the company’s releases on Humanity’s Last Exam, reaching 62.1% on September 2026 leaderboards and trailing only Anthropic’s Claude Fable 5.1 and Opus 5. These scores reflect Meta’s focus on scaling reasoning capabilities in its latest large language models, though they remain several points behind the top closed models. With roughly three months left in 2026, further refinements, new variants, or tool-augmented evaluations could lift Meta’s peak score, while benchmark updates and competitive releases from other labs introduce ongoing uncertainty. Trader sentiment centers on whether Meta can close the remaining gap before year-end resolution.
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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