Meta’s Muse Spark series, including the 1.3 variant recently evaluated near 49% on Humanity’s Last Exam (HLE), drives current trader focus for the year’s highest Meta score on the 2,500-question expert benchmark. Anthropic’s Claude Fable 5.1 and Opus 5 currently lead overall leaderboards at 59–65% under varying protocols like chain-of-thought or tools, while Meta trails but shows iterative gains in reasoning across math, physics, and multi-domain questions. New model releases, capability scaling, and benchmark updates through December 2026 remain key swing factors, as frontier large language models continue rapid progress on this unsaturated test designed to probe graduate-level knowledge and multi-step reasoning.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日$66,113 Vol.
2026/12/31
55％以上
25%
60％以上
19%
65%以上
18%
70％以上
7%
$66,113 Vol.
55％以上
$41,534 Vol.
25%
60％以上
$13,932 Vol.
19%
65%以上
$8,760 Vol.
18%
70％以上
$1,887 Vol.
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 series, including the 1.3 variant recently evaluated near 49% on Humanity’s Last Exam (HLE), drives current trader focus for the year’s highest Meta score on the 2,500-question expert benchmark. Anthropic’s Claude Fable 5.1 and Opus 5 currently lead overall leaderboards at 59–65% under varying protocols like chain-of-thought or tools, while Meta trails but shows iterative gains in reasoning across math, physics, and multi-domain questions. New model releases, capability scaling, and benchmark updates through December 2026 remain key swing factors, as frontier large language models continue rapid progress on this unsaturated test designed to probe graduate-level knowledge and multi-step reasoning.
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".
マーケット開始日： Jul 23, 2026, 6:48 PM ET
音量
$66,113終了日
2027/01/01マーケット開始日
Jul 23, 2026, 6:48 PM ET結算ソース
https://agi.safe.ai/リゾルバー
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 series, including the 1.3 variant recently evaluated near 49% on Humanity’s Last Exam (HLE), drives current trader focus for the year’s highest Meta score on the 2,500-question expert benchmark. Anthropic’s Claude Fable 5.1 and Opus 5 currently lead overall leaderboards at 59–65% under varying protocols like chain-of-thought or tools, while Meta trails but shows iterative gains in reasoning across math, physics, and multi-domain questions. New model releases, capability scaling, and benchmark updates through December 2026 remain key swing factors, as frontier large language models continue rapid progress on this unsaturated test designed to probe graduate-level knowledge and multi-step reasoning.
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".
音量
$66,113終了日
2027/01/01マーケット開始日
Jul 23, 2026, 6:48 PM ET結算ソース
https://agi.safe.ai/リゾルバー
0x65070BE91...Meta’s Muse Spark series, including the 1.3 variant recently evaluated near 49% on Humanity’s Last Exam (HLE), drives current trader focus for the year’s highest Meta score on the 2,500-question expert benchmark. Anthropic’s Claude Fable 5.1 and Opus 5 currently lead overall leaderboards at 59–65% under varying protocols like chain-of-thought or tools, while Meta trails but shows iterative gains in reasoning across math, physics, and multi-domain questions. New model releases, capability scaling, and benchmark updates through December 2026 remain key swing factors, as frontier large language models continue rapid progress on this unsaturated test designed to probe graduate-level knowledge and multi-step reasoning.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
外部リンクに注意してください。
外部リンクに注意してください。
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