OpenAI’s September 3 launch of GPT-6 Astra, its latest frontier large language model, drives trader sentiment on the Humanity’s Last Exam (HLE) debut. Official benchmarks released with the model show Astra scoring 57.2% on HLE with tools—below the 65% posted by its predecessor GPT-5.6 Sol and several competing systems—while leading on computer-use, browser, coding, and cybersecurity tasks such as ExploitBench and Terminal-Bench. Astra’s rollout followed weeks of delays triggered by its “critical” cybersecurity classification under OpenAI’s Preparedness Framework, limiting advanced exploit capabilities at launch. Full availability to ChatGPT paid users and the API begins in the coming days, with potential for tool or agent updates to influence final leaderboard entries.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoIl modello Astra di OpenAI: il debutto dell'ultimo esame dell'umanità?
$49,753 Vol.
40%+
100%
50%+
100%
60%+
<1%
$49,753 Vol.
40%+
100%
50%+
100%
60%+
<1%
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".
Mercato aperto: Aug 13, 2026, 5:54 PM ET
Fonte di risoluzione
https://agi.safe.ai/Risolutore
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 di risoluzione
https://agi.safe.ai/Risolutore
0x65070BE91...OpenAI’s September 3 launch of GPT-6 Astra, its latest frontier large language model, drives trader sentiment on the Humanity’s Last Exam (HLE) debut. Official benchmarks released with the model show Astra scoring 57.2% on HLE with tools—below the 65% posted by its predecessor GPT-5.6 Sol and several competing systems—while leading on computer-use, browser, coding, and cybersecurity tasks such as ExploitBench and Terminal-Bench. Astra’s rollout followed weeks of delays triggered by its “critical” cybersecurity classification under OpenAI’s Preparedness Framework, limiting advanced exploit capabilities at launch. Full availability to ChatGPT paid users and the API begins in the coming days, with potential for tool or agent updates to influence final leaderboard entries.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato


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