Project Astra debuted at I/O 2024 as a next-generation AI assistant that can view the world around you, and provide advice and tips throughout the day. Since then, Astra has been incorporated into the camera and screen-sharing capabilities of the Gemini app and Google says it upgraded Astra's voice output to be more natural with native audio,

Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.

Google I/O, Google’s biggest developer conference of the year, is here. I/O will showcase product announcements from across Google’s portfolio. We're looking forward to plenty of news relating to Android,

Google’s AI models are learning to reason, wield agency, and build virtual models of the real world. The company’s AI lead, Demis Hassabis, says all this—and more—will be needed for true AGI.

Gemini Diffusion is a new AI model by Google DeepMind that transforms jumbled inputs into coherent text or code at record speed. It is currently in the testing phase.

On Tuesday at Google I/O 2025, the company announced Deep Think, an “enhanced” reasoning mode for its flagship Gemini 2.5 Pro model. Deep Think allows the model to consider multiple answers to questions before responding, boosting its performance on certain benchmarks.

Gemini 2.5 Flash plays the role of the default model in the Gemini chatbot now. It's supposed to be the fast, cost-efficient model for daily use. Google says it’s better than its predecessors, like Gemini 2.0 Flash, in terms of understanding images and text while still being much cheaper to run.

Google’s AI models have a secret ingredient that’s giving the company a leg up on competitors like OpenAI and Anthropic. That ingredient is your data, and it’s only just scratched the surface in terms of how it can use your information to “personalize” Gemini’s responses.