- Il modello Astra di OpenAI debutterà con un punteggio di almeno il 40% all’Esame Finale dell’Umanità?98¢
- Il modello Astra di OpenAI debutterà con un punteggio di almeno il 50% all’Esame Finale dell’Umanità?65¢
- Il modello Astra di OpenAI debutterà con un punteggio di 60% o superiore nell'Esame Finale dell'Umanità?6¢
On August 1, 2026, OpenAI publicly disclosed “Astra,” describing an internal version of Astra as its “next major model.” You can read more about that here: https://openai.com/index/ten-advances-in-mathematics/. 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 August 1, 2026 preview of its internal Astra model family—highlighted by solving ten longstanding open problems in mathematics and theoretical computer science with Lean-verified proofs—initially boosted trader expectations for a strong Humanity’s Last Exam debut. However, the September 1 disclosure that Astra has reached critical cybersecurity capabilities under OpenAI’s Preparedness Framework has triggered expanded safety testing and development delays, keeping the model fully internal with no confirmed public release or HLE evaluation. Current frontier models top the benchmark at 58–65 percent accuracy, and Astra’s multi-agent architecture suggests competitive potential once released, yet the safety-driven slowdown and lack of timeline remain the dominant near-term factors shaping market-implied odds around a high-profile HLE appearance before year-end.