Meta’s Muse Spark 1.1 recently posted 62.1% on HLE leaderboards in September 2026, placing it fourth behind Anthropic’s Claude Fable 5.1 at 65% and signaling strong recent gains on the expert-level benchmark of 2,500+ graduate-difficulty questions in math, physics, philosophy, and other domains. This reflects Meta’s accelerated push into advanced reasoning models, competitive positioning against closed frontier labs, and the broader trend of rapid HLE score improvements from under 5% at the 2025 launch to the mid-60s range within roughly 18 months. Key upcoming catalysts include further Muse or Llama iterations expected before year-end, potential tool-augmented evaluations, and any official Meta releases that could shift the 2026 peak score. Trader sentiment hinges on whether Meta can close the remaining gap or surpass current leaders amid ongoing model releases and benchmark protocol variations.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert$58,290 Vol.
31. Dez. 2026
55 %+
39%
60 %+
28%
65 %+
21%
70 %+
8%
$58,290 Vol.
55 %+
$36,370 Vol.
39%
60 %+
$12,359 Vol.
28%
65 %+
$7,755 Vol.
21%
70 %+
$1,806 Vol.
8%
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 recently posted 62.1% on HLE leaderboards in September 2026, placing it fourth behind Anthropic’s Claude Fable 5.1 at 65% and signaling strong recent gains on the expert-level benchmark of 2,500+ graduate-difficulty questions in math, physics, philosophy, and other domains. This reflects Meta’s accelerated push into advanced reasoning models, competitive positioning against closed frontier labs, and the broader trend of rapid HLE score improvements from under 5% at the 2025 launch to the mid-60s range within roughly 18 months. Key upcoming catalysts include further Muse or Llama iterations expected before year-end, potential tool-augmented evaluations, and any official Meta releases that could shift the 2026 peak score. Trader sentiment hinges on whether Meta can close the remaining gap or surpass current leaders amid ongoing model releases and benchmark protocol variations.
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".
Markt eröffnet: Jul 23, 2026, 6:48 PM ET
Volumen
$58,290Enddatum
1. Jan. 2027Markt eröffnet
Jul 23, 2026, 6:48 PM ETAbwicklungsquelle
https://agi.safe.ai/Abwickler
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 recently posted 62.1% on HLE leaderboards in September 2026, placing it fourth behind Anthropic’s Claude Fable 5.1 at 65% and signaling strong recent gains on the expert-level benchmark of 2,500+ graduate-difficulty questions in math, physics, philosophy, and other domains. This reflects Meta’s accelerated push into advanced reasoning models, competitive positioning against closed frontier labs, and the broader trend of rapid HLE score improvements from under 5% at the 2025 launch to the mid-60s range within roughly 18 months. Key upcoming catalysts include further Muse or Llama iterations expected before year-end, potential tool-augmented evaluations, and any official Meta releases that could shift the 2026 peak score. Trader sentiment hinges on whether Meta can close the remaining gap or surpass current leaders amid ongoing model releases and benchmark protocol variations.
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".
Volumen
$58,290Enddatum
1. Jan. 2027Markt eröffnet
Jul 23, 2026, 6:48 PM ETAbwicklungsquelle
https://agi.safe.ai/Abwickler
0x65070BE91...Meta’s Muse Spark 1.1 recently posted 62.1% on HLE leaderboards in September 2026, placing it fourth behind Anthropic’s Claude Fable 5.1 at 65% and signaling strong recent gains on the expert-level benchmark of 2,500+ graduate-difficulty questions in math, physics, philosophy, and other domains. This reflects Meta’s accelerated push into advanced reasoning models, competitive positioning against closed frontier labs, and the broader trend of rapid HLE score improvements from under 5% at the 2025 launch to the mid-60s range within roughly 18 months. Key upcoming catalysts include further Muse or Llama iterations expected before year-end, potential tool-augmented evaluations, and any official Meta releases that could shift the 2026 peak score. Trader sentiment hinges on whether Meta can close the remaining gap or surpass current leaders amid ongoing model releases and benchmark protocol variations.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertVerwandte
Wird das höchste Ergebnis, das bei Humanity’s Last Exam im Jahr 2026 erzielt wird, 60 % oder mehr betragen?
52%
Ja
Wird die höchste Punktzahl, die ein OpenAI-Modell bei Humanity’s Last Exam im Jahr 2026 erreicht, 55 % oder höher sein?
84%
Ja
Wird die höchste von einem Anthropic Claude Modell erreichte Punktzahl bei Humanity’s Last Exam im Jahr 2026 55 % oder höher sein?
81%
Ja
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