Our Gemini models are making Google Search more intelligent, agentic, and personalized, allowing users to ask longer and more complex queries.

With Gemini, users can ask questions in their own language, and the model can find and translate content from other languages, breaking down barriers to information access.

The Gemini models are fundamentally trained to know when to use search, enabling them to act like agents that can reason and utilize tools effectively.

The Gemini Developer API introduced many new features, including thought summaries directly in the API, native audio output for better voice control, and a URL context tool that allows models to analyze web links, enhancing the building blocks for new capabilities.

We're integrating advanced capabilities into Gemini Live, including video understanding and memory, to enhance user experience.

The investment in the Gemini program has focused on integrating various capabilities quickly, allowing the model to handle tasks like coding, text generation, and image generation all in one place.

The integration of AI into existing platforms, like Gemini with Gmail, highlights the need for user empowerment and flexibility in system prompts.

We're making Gemini the most personal, proactive, and powerful AI assistant, allowing it to learn user preferences and provide tailored responses.

The Gemini app aims to be a truly universal AI assistant, integrating various capabilities to enhance user experience across all Google products.