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.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоHighest Meta score on Humanity’s Last Exam in 2026?
Highest Meta score on Humanity’s Last Exam in 2026?
$58,569 Обс.
Dec 31, 2026
55%+
35%
60%+
28%
65%+
20%
70%+
7%
$58,569 Обс.
55%+
$36,531 Обс.
35%
60%+
$12,419 Обс.
28%
65%+
$7,755 Обс.
20%
70%+
$1,864 Обс.
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".
Ринок відкрито: Jul 23, 2026, 6:48 PM ET
Обсяг
$58,569Дата завершення
Jan 1, 2027Ринок відкрито
Jul 23, 2026, 6:48 PM ETДжерело вирішення
https://agi.safe.ai/Вирішувач
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".
Обсяг
$58,569Дата завершення
Jan 1, 2027Ринок відкрито
Jul 23, 2026, 6:48 PM ETДжерело вирішення
https://agi.safe.ai/Вирішувач
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.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоПов'язане
Will the highest score achieved on Humanity’s Last Exam in 2026 be 60% or higher?
52%
Will the highest score achieved by an OpenAI model on Humanity’s Last Exam in 2026 be 55% or higher?
77%
Will the highest score achieved by an Anthropic Claude model on Humanity’s Last Exam in 2026 be 55% or higher?
81%
Обережно з зовнішніми посиланнями.
Обережно з зовнішніми посиланнями.
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