Meta’s Muse Spark series, particularly the 1.1 and 1.3 variants, has driven recent trader sentiment by posting HLE scores in the 49–62% range depending on evaluation protocols such as tool use or high-reasoning modes. These results place Meta within a few points of Anthropic’s leading Claude Fable 5.1 (around 59–65%) while surpassing several OpenAI GPT-5 configurations on certain leaderboards. Momentum stems from Meta’s scaled training infrastructure, iterative post-training on expert-level data, and adaptive reasoning techniques that have narrowed the gap faster than earlier Llama releases. With three months remaining until the December 31, 2026 resolution, key catalysts include any fall model drops, new HLE versions with held-out questions, and disclosed scaling gains that could push Meta’s peak result above 60% or higher.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$65,939 Vol.
31 dic 2026
55%+
26%
60%+
18%
65%+
18%
70%+
6%
$65,939 Vol.
55%+
$41,534 Vol.
26%
60%+
$13,758 Vol.
18%
65%+
$8,760 Vol.
18%
70%+
$1,887 Vol.
6%
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, particularly the 1.1 and 1.3 variants, has driven recent trader sentiment by posting HLE scores in the 49–62% range depending on evaluation protocols such as tool use or high-reasoning modes. These results place Meta within a few points of Anthropic’s leading Claude Fable 5.1 (around 59–65%) while surpassing several OpenAI GPT-5 configurations on certain leaderboards. Momentum stems from Meta’s scaled training infrastructure, iterative post-training on expert-level data, and adaptive reasoning techniques that have narrowed the gap faster than earlier Llama releases. With three months remaining until the December 31, 2026 resolution, key catalysts include any fall model drops, new HLE versions with held-out questions, and disclosed scaling gains that could push Meta’s peak result above 60% or higher.
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".
Mercado abierto: Jul 23, 2026, 6:48 PM ET
Volumen
$65,939Fecha de finalización
1 ene 2027Mercado abierto
Jul 23, 2026, 6:48 PM ETFuente de resolución
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 series, particularly the 1.1 and 1.3 variants, has driven recent trader sentiment by posting HLE scores in the 49–62% range depending on evaluation protocols such as tool use or high-reasoning modes. These results place Meta within a few points of Anthropic’s leading Claude Fable 5.1 (around 59–65%) while surpassing several OpenAI GPT-5 configurations on certain leaderboards. Momentum stems from Meta’s scaled training infrastructure, iterative post-training on expert-level data, and adaptive reasoning techniques that have narrowed the gap faster than earlier Llama releases. With three months remaining until the December 31, 2026 resolution, key catalysts include any fall model drops, new HLE versions with held-out questions, and disclosed scaling gains that could push Meta’s peak result above 60% or higher.
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
$65,939Fecha de finalización
1 ene 2027Mercado abierto
Jul 23, 2026, 6:48 PM ETFuente de resolución
https://agi.safe.ai/Resolver
0x65070BE91...Meta’s Muse Spark series, particularly the 1.1 and 1.3 variants, has driven recent trader sentiment by posting HLE scores in the 49–62% range depending on evaluation protocols such as tool use or high-reasoning modes. These results place Meta within a few points of Anthropic’s leading Claude Fable 5.1 (around 59–65%) while surpassing several OpenAI GPT-5 configurations on certain leaderboards. Momentum stems from Meta’s scaled training infrastructure, iterative post-training on expert-level data, and adaptive reasoning techniques that have narrowed the gap faster than earlier Llama releases. With three months remaining until the December 31, 2026 resolution, key catalysts include any fall model drops, new HLE versions with held-out questions, and disclosed scaling gains that could push Meta’s peak result above 60% or higher.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoRelacionado
¿Será la puntuación más alta lograda en el Último Examen de la Humanidad en 2026 del 60% o superior?
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Sí
¿Será la puntuación más alta alcanzada por un modelo de OpenAI en el Último Examen de la Humanidad en 2026 del 55% o superior?
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Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
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