Anthropic’s recent launch of Claude Mythos 5.1 on September 1, 2026, with reported gains in cybersecurity and biology capabilities, anchors current trader sentiment around the next Mythos-class model’s HLE debut. The series already leads public leaderboards, with Mythos 5 and Fable 5.1 variants posting 64.5–65% accuracy on the expert-curated, 2,500-question benchmark released by the Center for AI Safety and Scale AI in early 2025. This reflects sustained progress from sub-5% scores at launch to the current mid-60s frontier, outpacing OpenAI’s GPT-5.4 Pro (~58.7%) and Google models amid competitive pressure on reasoning depth and tool-augmented performance. Restricted access programs and safety constraints continue to shape deployment timelines, while any new model addition to the agi.safe.ai results page by year-end will trigger resolution on the 45%+, 50%+, or higher thresholds.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$12,767 Vol.
45%+
97%
50%+
97%
55%+
55%
60%+
9%
$12,767 Vol.
45%+
97%
50%+
97%
55%+
55%
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".
Pasar Dibuka: Sep 1, 2026, 11:31 AM ET
Sumber Resolusi
https://agi.safe.ai/Resolver
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".
Sumber Resolusi
https://agi.safe.ai/Resolver
0x65070BE91...Anthropic’s recent launch of Claude Mythos 5.1 on September 1, 2026, with reported gains in cybersecurity and biology capabilities, anchors current trader sentiment around the next Mythos-class model’s HLE debut. The series already leads public leaderboards, with Mythos 5 and Fable 5.1 variants posting 64.5–65% accuracy on the expert-curated, 2,500-question benchmark released by the Center for AI Safety and Scale AI in early 2025. This reflects sustained progress from sub-5% scores at launch to the current mid-60s frontier, outpacing OpenAI’s GPT-5.4 Pro (~58.7%) and Google models amid competitive pressure on reasoning depth and tool-augmented performance. Restricted access programs and safety constraints continue to shape deployment timelines, while any new model addition to the agi.safe.ai results page by year-end will trigger resolution on the 45%+, 50%+, or higher thresholds.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui

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