Anthropic’s Mythos-class frontier models, such as the June 2026 Claude Mythos 5 and its safeguarded Fable 5 counterpart, have driven recent gains on Humanity’s Last Exam, the 2,500-question expert benchmark from the Center for AI Safety and Scale AI. The Mythos Preview previously posted lab-reported peaks near 65% with tools, while Claude Fable 5.1 now leads the public leaderboard at 59.1%, ahead of OpenAI’s GPT-6 Astra and Google’s Gemini variants. Traders focus on whether the next unrestricted Mythos release will claim the debut top spot or extend Anthropic’s edge amid tightening competition, supply-chain timelines, and potential safety-related access restrictions that have shaped prior rollout cadence.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoPróximo Modelo Mythos-Class: A Estreia do Último Exame da Humanidade?
$20,156 Vol.
45%+
98%
50%+
99%
55%+
4%
60%+
2%
$20,156 Vol.
45%+
98%
50%+
99%
55%+
4%
60%+
2%
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".
Mercado Aberto: Sep 1, 2026, 11:31 AM ET
Fonte de resolução
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".
Fonte de resolução
https://agi.safe.ai/Resolver
0x65070BE91...Anthropic’s Mythos-class frontier models, such as the June 2026 Claude Mythos 5 and its safeguarded Fable 5 counterpart, have driven recent gains on Humanity’s Last Exam, the 2,500-question expert benchmark from the Center for AI Safety and Scale AI. The Mythos Preview previously posted lab-reported peaks near 65% with tools, while Claude Fable 5.1 now leads the public leaderboard at 59.1%, ahead of OpenAI’s GPT-6 Astra and Google’s Gemini variants. Traders focus on whether the next unrestricted Mythos release will claim the debut top spot or extend Anthropic’s edge amid tightening competition, supply-chain timelines, and potential safety-related access restrictions that have shaped prior rollout cadence.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado


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