Episodes from Google AI: Release Notes
This episode discusses the integration of Gemini 3 and Generative UI (Gen UI) into Google Search, enabling more sophisticated reasoning, coding, and visual outputs to enhance user understanding and creativity. The conversation highlights the evolution of search towards a more conversational and visu...
Google CEO Sundar Pichai discusses the recent rollout of Gemini 3 and Nano Banana Pro, emphasizing Google's long-term, full-stack AI strategy.
The episode discusses the advancements in Google's Gemini models, particularly Gemini 3, and how these models are being developed and integrated into products.
This episode discusses the evolution of Google DeepMind's video generation model, Veo, from its early "moonshot" beginnings to the recent Veo 3 release.
The episode features Pushmeet Kohli discussing DeepMind's science and strategic initiatives, focusing on how AI is being used to tackle major scientific, commercial, and social challenges.
Google's Gemini model has been updated with significant improvements in native image generation and editing capabilities, allowing for more natural language interaction and greater creative control.
This podcast episode features Demis Hassabis, CEO of Google DeepMind, discussing the company's rapid progress in AI, particularly focusing on the development of "thinking models" and "world models" like Genie 3.
This podcast episode discusses Google's LiveAPI, a multi-modal interface that allows developers to build real-time voice AI applications using Gemini, highlighting its evolution, diverse use cases, and future enhancements.
Google Search is evolving into a frontier AI product, powered by Gemini models, to enhance information retrieval and task execution for billions of users. This transformation aims to make search more intuitive and efficient, enabling natural language queries and complex task completion.
This podcast episode discusses Gemini's multimodal vision capabilities, emphasizing its foundational design to perceive the world like humans for building powerful AI systems and achieving Artificial General Intelligence (AGI).