Meta's Muse Spark 1.1 large language model has driven recent trader sentiment by posting 62.1% accuracy on September 2026 Humanity's Last Exam (HLE) leaderboards from BenchLM and related evaluators, placing it fourth behind Anthropic's leading Claude Fable 5.1 at 65%. This expert-curated 2,500-question benchmark tests frontier reasoning across mathematics, physics, biology, and humanities with closed-ended items resistant to memorization. Meta's result edges several GPT-5 variants while reflecting gains from its April 2026 release and subsequent refinements in reasoning modes. With three-plus months left in 2026, further Meta model iterations or tool-augmented evaluations could lift the highest score, though Anthropic's current edge and benchmark headroom introduce uncertainty around crossing 65% or higher thresholds.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert$53,617 Vol.
31. Dez. 2026
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$53,617 Vol.
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$32,341 Vol.
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$11,986 Vol.
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$7,507 Vol.
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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 large language model has driven recent trader sentiment by posting 62.1% accuracy on September 2026 Humanity's Last Exam (HLE) leaderboards from BenchLM and related evaluators, placing it fourth behind Anthropic's leading Claude Fable 5.1 at 65%. This expert-curated 2,500-question benchmark tests frontier reasoning across mathematics, physics, biology, and humanities with closed-ended items resistant to memorization. Meta's result edges several GPT-5 variants while reflecting gains from its April 2026 release and subsequent refinements in reasoning modes. With three-plus months left in 2026, further Meta model iterations or tool-augmented evaluations could lift the highest score, though Anthropic's current edge and benchmark headroom introduce uncertainty around crossing 65% or higher thresholds.
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
$53,617Enddatum
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 large language model has driven recent trader sentiment by posting 62.1% accuracy on September 2026 Humanity's Last Exam (HLE) leaderboards from BenchLM and related evaluators, placing it fourth behind Anthropic's leading Claude Fable 5.1 at 65%. This expert-curated 2,500-question benchmark tests frontier reasoning across mathematics, physics, biology, and humanities with closed-ended items resistant to memorization. Meta's result edges several GPT-5 variants while reflecting gains from its April 2026 release and subsequent refinements in reasoning modes. With three-plus months left in 2026, further Meta model iterations or tool-augmented evaluations could lift the highest score, though Anthropic's current edge and benchmark headroom introduce uncertainty around crossing 65% or higher thresholds.
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
$53,617Enddatum
1. Jan. 2027Markt eröffnet
Jul 23, 2026, 6:48 PM ETAbwicklungsquelle
https://agi.safe.ai/Abwickler
0x65070BE91...Meta's Muse Spark 1.1 large language model has driven recent trader sentiment by posting 62.1% accuracy on September 2026 Humanity's Last Exam (HLE) leaderboards from BenchLM and related evaluators, placing it fourth behind Anthropic's leading Claude Fable 5.1 at 65%. This expert-curated 2,500-question benchmark tests frontier reasoning across mathematics, physics, biology, and humanities with closed-ended items resistant to memorization. Meta's result edges several GPT-5 variants while reflecting gains from its April 2026 release and subsequent refinements in reasoning modes. With three-plus months left in 2026, further Meta model iterations or tool-augmented evaluations could lift the highest score, though Anthropic's current edge and benchmark headroom introduce uncertainty around crossing 65% or higher thresholds.
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?
54%
Ja
Wird die höchste Punktzahl, die ein OpenAI-Modell bei Humanity’s Last Exam im Jahr 2026 erreicht, 55 % oder höher sein?
82%
Ja
Wird die höchste von einem Anthropic Claude Modell erreichte Punktzahl bei Humanity’s Last Exam im Jahr 2026 55 % oder höher sein?
84%
Ja
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