Anthropic’s recent September 1, 2026 release of Claude Mythos 5.1 and Fable 5.1, which quickly topped the Humanity’s Last Exam leaderboard at 59–65% accuracy, anchors trader sentiment for the next Mythos-class model. The HLE benchmark—2,500 expert-authored questions spanning advanced mathematics, physics, biology, and multimodal reasoning—resists saturation better than older tests like MMLU, rewarding tool-augmented scaling and long-horizon reasoning. Anthropic’s consistent frontier lead over OpenAI’s GPT-5 series and Meta entries, combined with rapid iteration cycles, supports high implied odds for strong debut scores, though regulatory scrutiny on high-capability releases and potential timeline slips introduce uncertainty ahead of year-end.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour$19,099 Vol.
45 %+
98%
50 %+
99%
55 %+
8%
60 % +
5%
$19,099 Vol.
45 %+
98%
50 %+
99%
55 %+
8%
60 % +
5%
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".
Marché ouvert : Sep 1, 2026, 11:31 AM ET
Source de résolution
https://agi.safe.ai/Résolveur
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".
Source de résolution
https://agi.safe.ai/Résolveur
0x65070BE91...Anthropic’s recent September 1, 2026 release of Claude Mythos 5.1 and Fable 5.1, which quickly topped the Humanity’s Last Exam leaderboard at 59–65% accuracy, anchors trader sentiment for the next Mythos-class model. The HLE benchmark—2,500 expert-authored questions spanning advanced mathematics, physics, biology, and multimodal reasoning—resists saturation better than older tests like MMLU, rewarding tool-augmented scaling and long-horizon reasoning. Anthropic’s consistent frontier lead over OpenAI’s GPT-5 series and Meta entries, combined with rapid iteration cycles, supports high implied odds for strong debut scores, though regulatory scrutiny on high-capability releases and potential timeline slips introduce uncertainty ahead of year-end.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour


Méfiez-vous des liens externes.
Méfiez-vous des liens externes.
Questions fréquentes