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 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 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.

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

Over 7 million developers have built with the Gemini API, reflecting over 5x growth since last I/O, and Gemini usage on Vertex AI has increased more than 40 times since last year.

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

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