OpenAI’s September 3, 2026 launch of GPT-6 Astra supplies the main catalyst for trader sentiment on its Humanity’s Last Exam performance. The model posted 54.7% accuracy on the 2,500-question benchmark, trailing Anthropic’s leading Claude Fable 5.1 at 59.1% and other Claude variants above 64% while outperforming prior OpenAI entries in computer-use, browser, coding, and cybersecurity tasks. Astra’s rollout followed delays tied to its “critical” cybersecurity classification under OpenAI’s Preparedness Framework, with phased availability to paid ChatGPT users and the API still expanding. Full tool or agent integrations could lift future leaderboard entries, though the benchmark’s expert-level questions across mathematics, physics, and multimodal items continue to show substantial headroom ahead of any December 2026 resolution window.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$33,276 Vol.
40%+
100%
50%+
84%
60%+
15%
$33,276 Vol.
40%+
100%
50%+
84%
60%+
15%
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".
Pasar Dibuka: Aug 13, 2026, 5:54 PM ET
Sumber Resolusi
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".
Sumber Resolusi
https://agi.safe.ai/Resolver
0x65070BE91...OpenAI’s September 3, 2026 launch of GPT-6 Astra supplies the main catalyst for trader sentiment on its Humanity’s Last Exam performance. The model posted 54.7% accuracy on the 2,500-question benchmark, trailing Anthropic’s leading Claude Fable 5.1 at 59.1% and other Claude variants above 64% while outperforming prior OpenAI entries in computer-use, browser, coding, and cybersecurity tasks. Astra’s rollout followed delays tied to its “critical” cybersecurity classification under OpenAI’s Preparedness Framework, with phased availability to paid ChatGPT users and the API still expanding. Full tool or agent integrations could lift future leaderboard entries, though the benchmark’s expert-level questions across mathematics, physics, and multimodal items continue to show substantial headroom ahead of any December 2026 resolution window.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


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