Anthropic’s recent Mythos-class releases, including Claude Fable 5.1 at 65% and Claude Mythos 5 at 64.5% on the Humanity’s Last Exam leaderboard, anchor trader sentiment around strong performance on this expert-level benchmark of 2,500 frontier questions across math, sciences, and humanities. These scores reflect continued gains from tool-augmented reasoning and model scaling, outpacing OpenAI’s GPT-5.4 Pro near 59% and Meta’s leading entries while the overall frontier clusters tightly. Competitive pressure from other labs’ rapid iterations, combined with HLE’s design to resist saturation, creates uncertainty over whether the next qualifying Anthropic model—defined by official Mythos or Fable naming—will clear higher thresholds upon debut at agi.safe.ai before year-end.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоNext Mythos-Class Model: Humanity's Last Exam Debut?
$20,319 Обс.
45%+
98%
50%+
99%
55%+
3%
60%+
3%
$20,319 Обс.
45%+
98%
50%+
99%
55%+
3%
60%+
3%
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".
Ринок відкрито: Sep 1, 2026, 11:31 AM ET
Джерело вирішення
https://agi.safe.ai/Вирішувач
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".
Джерело вирішення
https://agi.safe.ai/Вирішувач
0x65070BE91...Anthropic’s recent Mythos-class releases, including Claude Fable 5.1 at 65% and Claude Mythos 5 at 64.5% on the Humanity’s Last Exam leaderboard, anchor trader sentiment around strong performance on this expert-level benchmark of 2,500 frontier questions across math, sciences, and humanities. These scores reflect continued gains from tool-augmented reasoning and model scaling, outpacing OpenAI’s GPT-5.4 Pro near 59% and Meta’s leading entries while the overall frontier clusters tightly. Competitive pressure from other labs’ rapid iterations, combined with HLE’s design to resist saturation, creates uncertainty over whether the next qualifying Anthropic model—defined by official Mythos or Fable naming—will clear higher thresholds upon debut at agi.safe.ai before year-end.
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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