OpenAI publicly identified Astra on August 1, 2026, as its internal “next major model” after GPT-5.6, highlighting its ability to generate machine-checkable proofs for long-standing open problems in mathematics and theoretical computer science. This announcement has shaped trader views on whether Astra will be the first frontier system to post a notable score on Humanity’s Last Exam (HLE), the 2,500-question expert-level benchmark from the Center for AI Safety and Scale AI that currently tops out near 55% for leading models such as Claude variants and GPT-5.6 Sol. Competitive pressure from Anthropic, Google DeepMind, and others continues to tighten timelines, while HLE’s emphasis on graduate-level reasoning across disciplines makes any early Astra evaluation a high-signal event for assessing capability jumps. Resolution hinges on official OpenAI release or benchmark submission in the coming weeks.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoModelo Astra da OpenAI: a estreia do último exame da humanidade?
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$1,897 Vol.
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This market will resolve to "Yes" if the next OpenAI “Astra” model added to the Humanity’s Last Exam results at https://agi.safe.ai/ has an HLE Accuracy of at least the specified percentage at 12:00 PM ET on the calendar date following the date on which it first appears on the site. Otherwise, this market will resolve to "No".
If a model first appears on the site but is removed before 12:00 PM ET on the following calendar date, its appearance will not qualify as added to the Humanity’s Last Exam results.
A qualifying model must be named "Astra" (including variants or successor branding such as Astra 1, Astra 6, Astra X, GPT-6 Astra, or similar naming or rebranded versions), or be confirmed to be the same model referenced in the announcement by OpenAI or by a consensus of credible reporting.
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.
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: Aug 13, 2026, 5:54 PM ET
Fonte de resolução
https://agi.safe.ai/Resolver
0x65070BE91...This market will resolve to "Yes" if the next OpenAI “Astra” model added to the Humanity’s Last Exam results at https://agi.safe.ai/ has an HLE Accuracy of at least the specified percentage at 12:00 PM ET on the calendar date following the date on which it first appears on the site. Otherwise, this market will resolve to "No".
If a model first appears on the site but is removed before 12:00 PM ET on the following calendar date, its appearance will not qualify as added to the Humanity’s Last Exam results.
A qualifying model must be named "Astra" (including variants or successor branding such as Astra 1, Astra 6, Astra X, GPT-6 Astra, or similar naming or rebranded versions), or be confirmed to be the same model referenced in the announcement by OpenAI or by a consensus of credible reporting.
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.
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...OpenAI publicly identified Astra on August 1, 2026, as its internal “next major model” after GPT-5.6, highlighting its ability to generate machine-checkable proofs for long-standing open problems in mathematics and theoretical computer science. This announcement has shaped trader views on whether Astra will be the first frontier system to post a notable score on Humanity’s Last Exam (HLE), the 2,500-question expert-level benchmark from the Center for AI Safety and Scale AI that currently tops out near 55% for leading models such as Claude variants and GPT-5.6 Sol. Competitive pressure from Anthropic, Google DeepMind, and others continues to tighten timelines, while HLE’s emphasis on graduate-level reasoning across disciplines makes any early Astra evaluation a high-signal event for assessing capability jumps. Resolution hinges on official OpenAI release or benchmark submission in the coming weeks.
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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