Gemini Live will enable real-time interaction, allowing users to connect with their favorite apps and perform tasks like adding calendar invites or deciphering handwriting.

Gemini Live capabilities are now free and rolling out across Android and iOS, with major updates to Deep Research and Canvas.

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 model is being leveraged to enhance AI capabilities in projects like Mariner, focusing on long context and memory.

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.

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

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

Gemini was built to be natively multimodal, meaning it can take in images, audio, video, and more, which is essential for progressing towards Artificial General Intelligence (AGI).

We're introducing a new mode called Deep Think for Gemini 2.5 Pro, which enhances model performance by allowing more time for reasoning and thinking.