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

Gemini is now capable of real-time speech translation in Google Meet, enhancing communication across languages.

The integration of native search capabilities in Gemini is critical, allowing the model to provide fresh and factual information in response to user queries.

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.

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

The 'query fan out' technique allows Gemini to answer complex questions by pulling together information from various sources on the web, rather than relying on a single webpage.

Gemini in Chrome will serve as your AI assistant while you browse the web, automatically understanding the context of the page you're on.

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.