On November 19th, Google released the Gemini 3 model. Demis Hassabis, CEO of DeepMind, and Josh Woodward, head of the Gemini team, jointly gave an exclusive interview.\u200b<\/p>\n\n\n\n
With this upgrade, Gemini 3 has gained the capability of Generative UI. When users inquire about Vincent van Gogh’s life, it can instantly build an interactive page containing images and a timeline; when complex calculations are involved, it can directly generate a customized mortgage calculator.\u200b<\/p>\n\n\n\n
This leap from answering questions to building applications marks that large model applications are moving beyond simple dialogue boxes and entering the stage of dynamic software generation.\u200b<\/p>\n\n\n\n
The reasoning ability of the Gemini 3 model has been significantly enhanced. According to Woodward, previous-generation models often lost their train of thought during the 5th or 6th step of reasoning, while Gemini 3 can maintain coherent logic for 10 to 15 steps in complex tax planning or long code debugging, greatly improving reliability when handling complex tasks.\u200b<\/p>\n\n\n\n
In the interdisciplinary doctoral-level problem set exam known as “Humanity’s Last Exam”, the score of Gemini 3 Pro surged from 21.6% (achieved by its predecessor Gemini 2.5 Pro) to 37.5%, far exceeding GPT-5.1’s 26.5%. In the SimpleQA Verified test, Gemini 3 Pro achieved an accuracy rate of 72.1%, which is more than double that of GPT-5.1 and Claude Sonnet 4.5, significantly reducing the hallucination phenomenon commonly seen in previous models.\u200b<\/p>\n\n\n\n
The most groundbreaking upgrade this time appears in the field of visual intelligence. Gemini 3 Pro scored a high 72.7% in the ScreenSpot-Pro test, which is specifically designed for screen understanding and UI interaction\u2014nearly 20 times the performance of GPT-5.1. This means that AI Agents can distinguish between buttons, menus, text, and context, rather than just recognizing objects in images. It provides a foundation for AI Agents to achieve more advanced automated computer operations and greatly enhances the practicality of the model as a digital work agent.<\/p>\n","protected":false},"excerpt":{"rendered":"
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