Meta’s Muse Spark series, including versions scoring 48.7–62.1% on Humanity’s Last Exam variants as of September 2026, reflects steady gains from targeted scaling and reasoning optimizations, though models trail Anthropic’s Claude Fable and Opus releases that lead most leaderboards at 54.9–65%. Traders track Meta Superintelligence Labs announcements, open-weight releases, and cost-efficient performance as key variables that could narrow gaps before year-end. Competitive pressure from OpenAI’s GPT-6 Astra and Google’s Gemini updates, alongside Meta’s emphasis on accessible models, shapes sentiment around whether further architectural or training advances will push Meta’s top score higher on the expert-level benchmark.
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?
Highest Meta score on Humanity’s Last Exam in 2026?
$60,272 Wol.
Dec 31, 2026
55%+
33%
60%+
26%
65%+
16%
70%+
6%
$60,272 Wol.
55%+
$37,837 Wol.
33%
60%+
$12,794 Wol.
26%
65%+
$7,755 Wol.
16%
70%+
$1,887 Wol.
6%
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 series, including versions scoring 48.7–62.1% on Humanity’s Last Exam variants as of September 2026, reflects steady gains from targeted scaling and reasoning optimizations, though models trail Anthropic’s Claude Fable and Opus releases that lead most leaderboards at 54.9–65%. Traders track Meta Superintelligence Labs announcements, open-weight releases, and cost-efficient performance as key variables that could narrow gaps before year-end. Competitive pressure from OpenAI’s GPT-6 Astra and Google’s Gemini updates, alongside Meta’s emphasis on accessible models, shapes sentiment around whether further architectural or training advances will push Meta’s top score higher on the expert-level benchmark.
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".
Rynek otwarty: Jul 23, 2026, 6:48 PM ET
Wolumen
$60,272Data zakończenia
Jan 1, 2027Rynek otwarty
Jul 23, 2026, 6:48 PM ETŹródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
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 series, including versions scoring 48.7–62.1% on Humanity’s Last Exam variants as of September 2026, reflects steady gains from targeted scaling and reasoning optimizations, though models trail Anthropic’s Claude Fable and Opus releases that lead most leaderboards at 54.9–65%. Traders track Meta Superintelligence Labs announcements, open-weight releases, and cost-efficient performance as key variables that could narrow gaps before year-end. Competitive pressure from OpenAI’s GPT-6 Astra and Google’s Gemini updates, alongside Meta’s emphasis on accessible models, shapes sentiment around whether further architectural or training advances will push Meta’s top score higher on the expert-level benchmark.
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".
Wolumen
$60,272Data zakończenia
Jan 1, 2027Rynek otwarty
Jul 23, 2026, 6:48 PM ETŹródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
0x65070BE91...Meta’s Muse Spark series, including versions scoring 48.7–62.1% on Humanity’s Last Exam variants as of September 2026, reflects steady gains from targeted scaling and reasoning optimizations, though models trail Anthropic’s Claude Fable and Opus releases that lead most leaderboards at 54.9–65%. Traders track Meta Superintelligence Labs announcements, open-weight releases, and cost-efficient performance as key variables that could narrow gaps before year-end. Competitive pressure from OpenAI’s GPT-6 Astra and Google’s Gemini updates, alongside Meta’s emphasis on accessible models, shapes sentiment around whether further architectural or training advances will push Meta’s top score higher on the expert-level benchmark.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoPowiązane
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?
76%
Will the highest score achieved by an Anthropic Claude model on Humanity’s Last Exam in 2026 be 55% or higher?
89%
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