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?
$58,569 Обс.
55%+
35%
60%+
28%
65%+
20%
70%+
7%
$58,569 Обс.
55%+
35%
60%+
28%
65%+
20%
70%+
7%
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
Джерело вирішення
https://agi.safe.ai/Вирішувач
0x65070BE91...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".
Джерело 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. · Оновлено



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