Anthropic’s Mythos-class frontier models have established a clear lead on Humanity’s Last Exam (HLE), a demanding expert-level benchmark with 2,500 questions spanning advanced mathematics, sciences, and other domains. The June 2026 launch of Claude Mythos 5 and the September 1, 2026 release of Mythos 5.1 produced verified scores around 64.5–65% (with tools), outpacing GPT-5.4 Pro and Gemini variants while topping public leaderboards. Traders view the next Mythos iteration as likely to extend this edge through continued scaling and specialized training, though memorization concerns on public HLE questions and restricted access programs for high-capability variants introduce uncertainty. Key near-term catalysts include additional benchmark updates and any broader public release of Mythos 5.1 variants that could shift the competitive gap with OpenAI and Google DeepMind.
Tóm tắt AI thử nghiệm tham chiếu dữ liệu Polymarket. Đây không phải tư vấn giao dịch và không ảnh hưởng đến cách thị trường này được giải quyết. · Cập nhật$12,762 KL.
45%+
97%
50%+
96%
55%+
54%
60%+
9%
$12,762 KL.
45%+
97%
50%+
96%
55%+
54%
60%+
9%
Any model whose official name includes "Mythos," or "Fable" (e.g., Claude Fable 5.1 or Claude Fable 6), or that Anthropic officially describes as a "Mythos-class" model or similar, will qualify for this market's resolution. Anthropic's other model tiers, such as Opus, Sonnet, or Haiku, will not qualify.
The percentage displayed as "HLE Accuracy" for the model in its result card on the "AI Progress on Humanity's Last Exam" chart at https://agi.safe.ai/ will be used to resolve this market. This market will resolve solely based on the displayed HLE Accuracy, regardless of the model's Calibration Error, chart position, other configuration scores, or any underlying granular or unrounded data presented elsewhere.
If multiple qualifying models are added to the Humanity's Last Exam results on the same calendar date (ET), the model with the highest HLE Accuracy will be used for resolution. Models added to the results on the calendar date following the initial qualifying model's first appearance will not be considered. If a model is first added to the Humanity's Last Exam results but is subsequently removed and not re-added, such that it is not displayed on the site at 12:00 PM ET on the calendar date following its first appearance, its appearance will not qualify as added to the Humanity's Last Exam results.
A qualifying model must be newly added to the Humanity's Last Exam results at https://agi.safe.ai/. Whether the model was previously released, publicly accessible, in beta, or otherwise available before appearing on the site is irrelevant for this market.
The resolution source for this market is the official Humanity's Last Exam website found at https://agi.safe.ai/. If this resolution source is unavailable at 12:00 PM ET on the calendar date following the date on which the qualifying model first appears on the site, this market will resolve based on the first subsequent instance at which the model's HLE Accuracy becomes available on the site. If it remains unavailable through the end of the seventh day after the qualifying model first appears on the site or if no qualifying model is added by December 31, 2026, 11:59 PM ET, this market will resolve to "No".
Thị trường mở: Sep 1, 2026, 11:31 AM ET
Nguồn giải quyết
https://agi.safe.ai/Người giải quyết
0x65070BE91...Any model whose official name includes "Mythos," or "Fable" (e.g., Claude Fable 5.1 or Claude Fable 6), or that Anthropic officially describes as a "Mythos-class" model or similar, will qualify for this market's resolution. Anthropic's other model tiers, such as Opus, Sonnet, or Haiku, will not qualify.
The percentage displayed as "HLE Accuracy" for the model in its result card on the "AI Progress on Humanity's Last Exam" chart at https://agi.safe.ai/ will be used to resolve this market. This market will resolve solely based on the displayed HLE Accuracy, regardless of the model's Calibration Error, chart position, other configuration scores, or any underlying granular or unrounded data presented elsewhere.
If multiple qualifying models are added to the Humanity's Last Exam results on the same calendar date (ET), the model with the highest HLE Accuracy will be used for resolution. Models added to the results on the calendar date following the initial qualifying model's first appearance will not be considered. If a model is first added to the Humanity's Last Exam results but is subsequently removed and not re-added, such that it is not displayed on the site at 12:00 PM ET on the calendar date following its first appearance, its appearance will not qualify as added to the Humanity's Last Exam results.
A qualifying model must be newly added to the Humanity's Last Exam results at https://agi.safe.ai/. Whether the model was previously released, publicly accessible, in beta, or otherwise available before appearing on the site is irrelevant for this market.
The resolution source for this market is the official Humanity's Last Exam website found at https://agi.safe.ai/. If this resolution source is unavailable at 12:00 PM ET on the calendar date following the date on which the qualifying model first appears on the site, this market will resolve based on the first subsequent instance at which the model's HLE Accuracy becomes available on the site. If it remains unavailable through the end of the seventh day after the qualifying model first appears on the site or if no qualifying model is added by December 31, 2026, 11:59 PM ET, this market will resolve to "No".
Nguồn giải quyết
https://agi.safe.ai/Người giải quyết
0x65070BE91...Anthropic’s Mythos-class frontier models have established a clear lead on Humanity’s Last Exam (HLE), a demanding expert-level benchmark with 2,500 questions spanning advanced mathematics, sciences, and other domains. The June 2026 launch of Claude Mythos 5 and the September 1, 2026 release of Mythos 5.1 produced verified scores around 64.5–65% (with tools), outpacing GPT-5.4 Pro and Gemini variants while topping public leaderboards. Traders view the next Mythos iteration as likely to extend this edge through continued scaling and specialized training, though memorization concerns on public HLE questions and restricted access programs for high-capability variants introduce uncertainty. Key near-term catalysts include additional benchmark updates and any broader public release of Mythos 5.1 variants that could shift the competitive gap with OpenAI and Google DeepMind.
Tóm tắt AI thử nghiệm tham chiếu dữ liệu Polymarket. Đây không phải tư vấn giao dịch và không ảnh hưởng đến cách thị trường này được giải quyết. · Cập nhật


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