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.

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.

With the Gemini 2.5 Pro model in Android Studio, we can now provide quick responses for code completion and improve the quality of developer workflows.

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 thinking traces in Gemini Pro provide critical debug information to understand prompt failures and improve them.

The Gemini 2.0 Pro model has impressed me with its capabilities, particularly its ability to process large amounts of information efficiently.

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

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

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.