OpenAI’s September 3, 2026 launch of GPT-6 Astra, positioned as its most capable frontier large language model yet, supplies the main driver for trader views on an HLE debut. The model cleared internal safety thresholds after delays tied to its “critical” cybersecurity rating under the Preparedness Framework, with official benchmarks showing 54.7% accuracy on Humanity’s Last Exam—trailing Anthropic’s leading Claude Fable 5.1 at 59.1% but ahead of several Gemini and open-weight entries. Astra’s rollout emphasizes agentic tools, browser use, and coding benchmarks where it posts leading results, yet full leaderboard entries depend on whether OpenAI submits tool-assisted or closed-book configurations soon. Broader paid-user and API availability over the coming days, plus any near-term agent updates, represent the clearest near-term catalysts that could shift its standing before year-end resolution windows.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於$33,623 交易量
40%+
100%
50% 以上
86%
60% 以上
11%
$33,623 交易量
40%+
100%
50% 以上
86%
60% 以上
11%
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".
市場開放時間: Aug 13, 2026, 5:54 PM ET
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".
OpenAI’s September 3, 2026 launch of GPT-6 Astra, positioned as its most capable frontier large language model yet, supplies the main driver for trader views on an HLE debut. The model cleared internal safety thresholds after delays tied to its “critical” cybersecurity rating under the Preparedness Framework, with official benchmarks showing 54.7% accuracy on Humanity’s Last Exam—trailing Anthropic’s leading Claude Fable 5.1 at 59.1% but ahead of several Gemini and open-weight entries. Astra’s rollout emphasizes agentic tools, browser use, and coding benchmarks where it posts leading results, yet full leaderboard entries depend on whether OpenAI submits tool-assisted or closed-book configurations soon. Broader paid-user and API availability over the coming days, plus any near-term agent updates, represent the clearest near-term catalysts that could shift its standing before year-end resolution windows.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於


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