Google's ongoing leadership on Humanity's Last Exam (HLE), a 2,500-question expert-level benchmark from the Center for AI Safety and Scale AI, shapes trader views on whether the next Gemini Pro model will debut with standout results. Recent Gemini iterations, including the 3 Pro at 37.5% in late 2025 and subsequent 3.1/3.7 variants, have posted competitive or leading scores against GPT, Claude, and Grok entries, reflecting strong multimodal reasoning and domain breadth. Delays in the Gemini 3.5 Pro rollout to July 2026, alongside routine benchmark emphasis in launches, heighten focus on release timing and reported capabilities. Traders monitor Google DeepMind announcements, internal previews, and rival model drops for shifts in implied probability, noting that HLE's difficulty keeps absolute scores modest even as incremental gains accumulate.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоNext Google Gemini Pro Model: Humanity’s Last Exam Debut?
$39,282 Объем
40%+
91%
45%+
86%
50%+
71%
55%+
43%
$39,282 Объем
40%+
91%
45%+
86%
50%+
71%
55%+
43%
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.
Any Gemini model labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify. Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify.
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".
Открытие рынка: Jul 29, 2026, 7:00 PM ET
Источник определения исхода
https://agi.safe.ai/Resolver
0x65070BE91...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.
Any Gemini model labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify. Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify.
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".
Источник определения исхода
https://agi.safe.ai/Resolver
0x65070BE91...Google's ongoing leadership on Humanity's Last Exam (HLE), a 2,500-question expert-level benchmark from the Center for AI Safety and Scale AI, shapes trader views on whether the next Gemini Pro model will debut with standout results. Recent Gemini iterations, including the 3 Pro at 37.5% in late 2025 and subsequent 3.1/3.7 variants, have posted competitive or leading scores against GPT, Claude, and Grok entries, reflecting strong multimodal reasoning and domain breadth. Delays in the Gemini 3.5 Pro rollout to July 2026, alongside routine benchmark emphasis in launches, heighten focus on release timing and reported capabilities. Traders monitor Google DeepMind announcements, internal previews, and rival model drops for shifts in implied probability, noting that HLE's difficulty keeps absolute scores modest even as incremental gains accumulate.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено


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