Google AI: Release Notes

Rhiannon Bell and Robby Stein, Product and Design leads for Google Search, join host Logan Kilpatrick for a deep dive into the integration of Gemini 3 into Search. Their conversation explores the evolution of Generative UI, where models act as designers to create bespoke, interactive simulations on the fly. Learn more about the role of Gemini 3 Flash in delivering speed at scale, the development of Search's new "persona," and how models like Nano Banana are powering next-generation data visualization.Watch on YouTube: https://www.youtube.com/watch?v=AqyclkRBSe4Chapters:0:00 - Introduction1:24 - What is Generative UI?2:23 - From static to generative design6:37 - Interactive simulations8:47 - Latency and visual QA10:48 - Gemini 3 Flash in Search12:08 - Fusing AI Mode and AI Overviews14:24 - The Search persona17:12 - Agentic system understanding18:22 - Visualizing data with Nano Banana 

Logan Kilpatrick from Google DeepMind sits down with Sundar Pichai, CEO of Google and Alphabet to discuss the launch of Gemini 3, Nano Banana Pro and Google's overall AI momentum. They talk about Google’s long-term bets on infrastructure, what it’s actually like to ship SOTA models, and the rise of vibe coding. Sundar also shares his personal launch day rituals and thoughts on future moonshots like putting data centers in space.Watch on YouTube: https://www.youtube.com/watch?v=iFqDyWFuw1cChapters:0:00 - Intro0:51 - Shipping Gemini 32:44 - Google's decade-long investment in AI4:27 - The full stack advantage5:43 - Scaling up compute and capacity7:32 - Sim-shipping Gemini across products9:35 - Nano Banana Pro12:13 - Monitoring launch day14:13 - Future model roadmap16:05 - Launch day rituals18:02 - The Blue Micro Kitchen21:57 - Future moonshots23:26 - The rise of vibe coding26:50 - What’s next

Introducing Nano Banana Pro, a powerful model built on Gemini 3 Pro, designed to enhance text rendering, infographics, and structured content generation. Tune in to learn about Nano Banana Pro’s advanced visual reasoning and multi-turn generation capabilities, and how this next-gen tool enables complex image edits and real-world applications. In this episode, we discuss how user feedback and continuous benchmarking drive model improvements, ensuring a superior experience for developers.Watch on YouTube: https://www.youtube.com/watch?v=hk6gwiZmSWAChapters:00:00 - Introducing Nano Banana Pro02:00 - Enhanced world understanding04:59 - Advanced text rendering05:49 - Gemini 3 Pro's influence09:30 - Multi-turn & infographics14:04 - Text rendering comparison16:26 - Multilingual text support18:22 - Infographics for learning24:00 - Multi-image input26:38 - Resolution & fidelity30:07 - Advanced editing & style32:09 - Practical use cases35:26 - Future outlook & thanks

Join Logan Kilpatrick and Koray Kavukcuoglu, CTO of Google DeepMind and Chief AI Architect of Google, as they discuss Gemini 3 and the state of AI!Their conversation includes the reception of Gemini 3, the ongoing advancements in AI research, and the role of benchmarks in pushing new frontiers. They explore critical areas for Gemini's focus, emphasizing instruction following, tool calls, and internationalization, alongside Google's collaborative approach to AI development.Watch on YouTube: https://www.youtube.com/watch?v=fXtna7UrL44Chapters:0:00 - Intro2:00 - Gemini 3 launch reception4:16 - Continuous progress and innovation6:47 - Key areas for Gemini improvement11:45 - Product scaffolding for model improvement13:56 - Chief AI architect role17:04 - Engineering mindset and collaboration18:37 - Future growth areas for Gemini20:33 - From research to engineering mindset23:22 - The rise of generative media27:22 - Nano Banana Pro capabilities29:31 - Towards unified model checkpoints36:26 - Organizing for AI success38:26 - Balancing exploration and scaling41:40 - DeepMind's collaborative culture45:21 - Innovating at Google48:37 - Closing

Explore Antigravity, Google DeepMind’s innovative new AI developer coding product, with Varun Mohan on Release Notes. This episode dives into Antigravity as a powerful agent development platform, integrating a familiar IDE experience with browser verification and Gemini 3.0 capabilities. Discover how developers can orchestrate complex agentic workflows, leverage artifacts for task communication, and balance AI automation with human collaboration. Learn about the philosophy behind building next-gen agentic experiences, the platform's multimodal strengths, and its role in accelerating software development at scale.Watch on YouTube: https://www.youtube.com/watch?v=uzFOhkORVfkChapters00:00 - Introducing Google Antigravity04:02 - Evolution of AI in coding04:53 - Beyond writing code06:21 - Ideal Google Antigravity user09:48 - Evolving user personas11:46 - Agents versus the IDE14:46 - Human-agent collaboration16:43 - Local versus server-side18:50 - Self-improvement and knowledge21:29 - Generalizing agent capabilities24:20 - Naming Google Antigravity27:04 - Integrating Google's AI models27:59 - Demo: Airbnb for dogs28:48 - Understanding artifacts29:51 - Asynchronous user feedback32:16 - Agent manager workflow33:17 - Browser actuation demo34:36 - Browser for research and testing36:45 - Parallel agent conversations41:04 - Agent task best practices42:51 - Future of Google Antigravity