Meta’s Muse Spark series, particularly the 1.1 and 1.3 variants, has driven trader sentiment by posting frontier scores of 48–62% on Humanity’s Last Exam, a 2,500-question expert-crafted benchmark spanning mathematics, physics, and other domains that resists saturation. These results place Meta models within a few points of Anthropic’s leading Claude Fable 5.1 and Opus 5 on certain leaderboards while outperforming several GPT-5 and Gemini configurations. Momentum stems from expanded training infrastructure, adaptive reasoning techniques, and iterative post-training refinements that have narrowed the gap with closed-source leaders. Key remaining catalysts include potential fall 2026 model drops, further scaling gains, and any HLE updates with new held-out questions before year-end resolution.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoHighest Meta score on Humanity’s Last Exam in 2026?
$65,939 Wol.
55%+
26%
60%+
18%
65%+
17%
70%+
7%
$65,939 Wol.
55%+
26%
60%+
18%
65%+
17%
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".
Rynek otwarty: Jul 23, 2026, 6:48 PM ET
Źródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
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".
Źródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
0x65070BE91...Meta’s Muse Spark series, particularly the 1.1 and 1.3 variants, has driven trader sentiment by posting frontier scores of 48–62% on Humanity’s Last Exam, a 2,500-question expert-crafted benchmark spanning mathematics, physics, and other domains that resists saturation. These results place Meta models within a few points of Anthropic’s leading Claude Fable 5.1 and Opus 5 on certain leaderboards while outperforming several GPT-5 and Gemini configurations. Momentum stems from expanded training infrastructure, adaptive reasoning techniques, and iterative post-training refinements that have narrowed the gap with closed-source leaders. Key remaining catalysts include potential fall 2026 model drops, further scaling gains, and any HLE updates with new held-out questions before year-end resolution.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano



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