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.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วใหม่
Dec 31, 2026
55%+
42%
60%+
45%
65%+
48%
70%+
37%
$0.00 ปริมาณ
55%+
$0 ปริมาณ
42%
60%+
$0 ปริมาณ
45%
65%+
$0 ปริมาณ
48%
70%+
$0 ปริมาณ
37%
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".
ตลาดเปิดเมื่อ: Jul 23, 2026, 6:48 PM ET
ปริมาณการซื้อขาย
$0วันสิ้นสุด
Dec 31, 2026ตลาดเปิดเมื่อ
Jul 23, 2026, 6:48 PM ETแหล่งข้อมูลการตัดสินผล
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".
ปริมาณการซื้อขาย
$0วันสิ้นสุด
Dec 31, 2026ตลาดเปิดเมื่อ
Jul 23, 2026, 6:48 PM ETแหล่งข้อมูลการตัดสินผล
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.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วที่เกี่ยวข้อง
Will the highest score achieved on Humanity’s Last Exam in 2026 be 60% or higher?
44%
Will the highest score achieved by an OpenAI model on Humanity’s Last Exam in 2026 be 55% or higher?
51%
Will the highest score achieved by an Anthropic Claude model on Humanity’s Last Exam in 2026 be 55% or higher?
69%
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