OpenAI’s September 3 launch of GPT-6 Astra, positioned as its most capable frontier large language model with strong results in computer use, software engineering, and cybersecurity benchmarks, serves as the main driver of trader sentiment on its Humanity’s Last Exam performance. Official evaluations showed Astra at 57.2% accuracy on HLE with tools, trailing Anthropic’s Claude Fable 5.1 at 65% and even OpenAI’s prior GPT-5.6 Sol, amid rollout delays tied to the model’s “critical” cybersecurity classification under the company’s Preparedness Framework. Full availability to ChatGPT paid users and the API in coming days, plus any agent or tool updates, could shift leaderboard entries before resolution criteria are met. Traders note the benchmark’s expert-level questions resist saturation, highlighting Astra’s competitive positioning against rivals despite its specialized strengths.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoOpenAI’s Astra Model: Humanity’s Last Exam Debut?
$30,757 Wol.
40%+
100%
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85%
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10%
$30,757 Wol.
40%+
100%
50%+
85%
60%+
10%
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".
Rynek otwarty: Aug 13, 2026, 5:54 PM ET
Źródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
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".
Źródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
0x65070BE91...OpenAI’s September 3 launch of GPT-6 Astra, positioned as its most capable frontier large language model with strong results in computer use, software engineering, and cybersecurity benchmarks, serves as the main driver of trader sentiment on its Humanity’s Last Exam performance. Official evaluations showed Astra at 57.2% accuracy on HLE with tools, trailing Anthropic’s Claude Fable 5.1 at 65% and even OpenAI’s prior GPT-5.6 Sol, amid rollout delays tied to the model’s “critical” cybersecurity classification under the company’s Preparedness Framework. Full availability to ChatGPT paid users and the API in coming days, plus any agent or tool updates, could shift leaderboard entries before resolution criteria are met. Traders note the benchmark’s expert-level questions resist saturation, highlighting Astra’s competitive positioning against rivals despite its specialized strengths.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano


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