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.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoNUEVO
31 dic 2026
55%+
45%
60%+
47%
65%+
50%
70%+
42%
$0.00 Vol.
55%+
$0 Vol.
45%
60%+
$0 Vol.
47%
65%+
$0 Vol.
50%
70%+
$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".
Mercado abierto: Jul 23, 2026, 6:48 PM ET
Volumen
$0Fecha de finalización
31 dic 2026Mercado 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 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".
Volumen
$0Fecha de finalización
31 dic 2026Mercado abierto
Jul 23, 2026, 6:48 PM ETFuente de resolución
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.
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 80% o superior?
45%
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?
54%
Sí
¿Será igual o superior al 60% la puntuación más alta obtenida por un modelo Anthropic Claude en el Último Examen de la Humanidad en 2026?
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Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
Preguntas frecuentes