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.
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。 · 更新日新規
2026/12/31
55％以上
45%
60％以上
46%
65%以上
50%
70％以上
42%
$0.00 Vol.
55％以上
$0 Vol.
45%
60％以上
$0 Vol.
46%
65%以上
$0 Vol.
50%
70％以上
$0 Vol.
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".
マーケット開始日： Jul 23, 2026, 6:48 PM ET
音量
$0終了日
2026/12/31マーケット開始日
Jul 23, 2026, 6:48 PM ET結算ソース
https://agi.safe.ai/Resolver
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".
音量
$0終了日
2026/12/31マーケット開始日
Jul 23, 2026, 6:48 PM ET結算ソース
https://agi.safe.ai/Resolver
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.
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。
よくある質問