Google’s Gemini 3 Pro and subsequent Deep Think updates established competitive early scores on Humanity’s Last Exam, a demanding multi-modal benchmark of expert-level questions from the Center for AI Safety and Scale AI, but Anthropic’s latest Claude models now lead the September 2026 leaderboards with roughly 65% accuracy. Rapid iteration across the Gemini 3.x series, including strong multimodal and agentic performance, has kept trader focus on whether the next Pro flagship can close the gap through superior reasoning or tool use. Key catalysts ahead include Google’s typical cadence of major releases and developer previews, where benchmark gains on HLE often signal shifts in competitive positioning against OpenAI and Anthropic.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoNext Google Gemini Pro Model: Humanity’s Last Exam Debut?
$66,253 Wol.
40%+
92%
45%+
92%
50%+
80%
55%+
41%
$66,253 Wol.
40%+
92%
45%+
92%
50%+
80%
55%+
41%
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".
Rynek otwarty: Jul 29, 2026, 7:00 PM ET
Źródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
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".
Źródło rozstrzygnięcia
https://agi.safe.ai/Rozstrzygający
0x65070BE91...Google’s Gemini 3 Pro and subsequent Deep Think updates established competitive early scores on Humanity’s Last Exam, a demanding multi-modal benchmark of expert-level questions from the Center for AI Safety and Scale AI, but Anthropic’s latest Claude models now lead the September 2026 leaderboards with roughly 65% accuracy. Rapid iteration across the Gemini 3.x series, including strong multimodal and agentic performance, has kept trader focus on whether the next Pro flagship can close the gap through superior reasoning or tool use. Key catalysts ahead include Google’s typical cadence of major releases and developer previews, where benchmark gains on HLE often signal shifts in competitive positioning against OpenAI and Anthropic.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano


Uważaj na linki zewnętrzne.
Uważaj na linki zewnętrzne.
Często zadawane pytania