Meta’s Muse Spark 1.1 large language model has driven recent trader sentiment by posting scores near 62% on several September 2026 HLE leaderboards, placing it within a few points of Anthropic’s leading Claude Fable 5.1 and Opus 5 variants while surpassing multiple GPT-5 configurations. This rapid climb on the expert-vetted, multi-domain benchmark reflects Meta’s focused investment in reasoning scaffolds and model scaling, narrowing the gap that existed earlier in the year. Key swing factors for year-end resolution include further Muse Spark iterations, potential tool-augmented or high-compute evaluations, and competitive releases from Anthropic or OpenAI that could reset relative standings before December 31. Traders are monitoring official leaderboard updates and Meta’s development cadence for signals on whether 65%+ thresholds become reachable.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoMeta pontuação mais alta no Último Exame da Humanidade em 2026?
Meta pontuação mais alta no Último Exame da Humanidade em 2026?
$58,569 Vol.
31 dez 2026
55%+
35%
60%+
28%
65%+
20%
70%+
7%
$58,569 Vol.
55%+
$36,531 Vol.
35%
60%+
$12,419 Vol.
28%
65%+
$7,755 Vol.
20%
70%+
$1,864 Vol.
7%
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 scores near 62% on several September 2026 HLE leaderboards, placing it within a few points of Anthropic’s leading Claude Fable 5.1 and Opus 5 variants while surpassing multiple GPT-5 configurations. This rapid climb on the expert-vetted, multi-domain benchmark reflects Meta’s focused investment in reasoning scaffolds and model scaling, narrowing the gap that existed earlier in the year. Key swing factors for year-end resolution include further Muse Spark iterations, potential tool-augmented or high-compute evaluations, and competitive releases from Anthropic or OpenAI that could reset relative standings before December 31. Traders are monitoring official leaderboard updates and Meta’s development cadence for signals on whether 65%+ thresholds become reachable.
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 Aberto: Jul 23, 2026, 6:48 PM ET
Volume
$58,569Data de Término
1 jan 2027Mercado Aberto
Jul 23, 2026, 6:48 PM ETFonte de resolução
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 large language model has driven recent trader sentiment by posting scores near 62% on several September 2026 HLE leaderboards, placing it within a few points of Anthropic’s leading Claude Fable 5.1 and Opus 5 variants while surpassing multiple GPT-5 configurations. This rapid climb on the expert-vetted, multi-domain benchmark reflects Meta’s focused investment in reasoning scaffolds and model scaling, narrowing the gap that existed earlier in the year. Key swing factors for year-end resolution include further Muse Spark iterations, potential tool-augmented or high-compute evaluations, and competitive releases from Anthropic or OpenAI that could reset relative standings before December 31. Traders are monitoring official leaderboard updates and Meta’s development cadence for signals on whether 65%+ thresholds become reachable.
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".
Volume
$58,569Data de Término
1 jan 2027Mercado Aberto
Jul 23, 2026, 6:48 PM ETFonte de resolução
https://agi.safe.ai/Resolver
0x65070BE91...Meta’s Muse Spark 1.1 large language model has driven recent trader sentiment by posting scores near 62% on several September 2026 HLE leaderboards, placing it within a few points of Anthropic’s leading Claude Fable 5.1 and Opus 5 variants while surpassing multiple GPT-5 configurations. This rapid climb on the expert-vetted, multi-domain benchmark reflects Meta’s focused investment in reasoning scaffolds and model scaling, narrowing the gap that existed earlier in the year. Key swing factors for year-end resolution include further Muse Spark iterations, potential tool-augmented or high-compute evaluations, and competitive releases from Anthropic or OpenAI that could reset relative standings before December 31. Traders are monitoring official leaderboard updates and Meta’s development cadence for signals on whether 65%+ thresholds become reachable.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoRelacionado
A maior pontuação obtida no Último Exame da Humanidade em 2026 será de 60% ou mais?
52%
Sim
A maior pontuação alcançada por um modelo da OpenAI no Último Exame da Humanidade em 2026 será de 55% ou mais?
77%
Sim
A maior pontuação alcançada por um modelo Anthropic Claude no Humanity’s Last Exam em 2026 será de 55% ou mais?
81%
Sim
Cuidado com os links externos.
Cuidado com os links externos.
Frequently Asked Questions