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.

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.

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.

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.

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.

Join us for a special episode of Release Notes as we unpack Gemini 3, Google’s latest AI model with key team members. Learn how Gemini 3 empowers developers with enhanced multimodal understanding, agentic capabilities for complex tasks, and generative interfaces that transform prompts into interactive applications. We discuss real-world use cases, the iterative development process driven by user feedback, and the strategic balance between model performance and broad accessibility across various Google platforms.

Dumi Erhan, co-lead of the Veo project at Google DeepMind, joins host Logan Kilpatrick for a deep dive into the evolution of generative video models. They discuss the journey from early research in 2018 to the launch of state-of-the-art Veo 3 model with native audio generation. Learn about the technical hurdles in evaluating and scaling video models, the challenges of long-duration video coherence and how user feedback is shaping the future of AI-powered video creation.

Pushmeet Kohli, Head of Science and Strategic Initiatives at Google DeepMind, joins host Logan Kilpatrick to explore the intersection of AI and scientific discovery. Learn how the team's unique problem-solving framework led to innovations like AlphaFold and AlphaEvolve, and how new tools like AI Co-scientist aim to democratize these types of breakthroughs for everyone. Watch on YouTube: https://www.youtube.com/watch?v=o7mdsL6BHsk

Join host Logan Kilpatrick in discussion with some of the minds behind Google's new state-of-the-art image model, Gemini 2.5 Flash. Product and research leads from the Gemini team break down the technology behind its key capabilities, including interleaved generation for complex edits and new approaches to achieving character consistency and pixel-perfect control. With Nicole Brichtova, Kaushik Shivakumar, Mostafa Dehghani and Robert Riachi.

Demis Hassabis, CEO of Google DeepMind, sits down with host Logan Kilpatrick. In this episode, learn about the evolution from game-playing AI to today's thinking models, how projects like Genie 3 are building world models to help AI understand reality and why new testing grounds like Kaggle’s Game Arena are needed to evaluate progress on the path to AGI. Watch on YouTube: https://www.youtube.com/watch?v=njDochQ2zHs

Shrestha Basu Mallick, one of the product leads for the Gemini API, joins host Logan Kilpatrick for a deep dive of Gemini Live API, Google’s real-time, multimodal interface for developers. Learn about how native audio alongside new capabilities like proactive audio and async function calling unlocks the unique power of audio as an interface. Watch on YouTube: https://www.youtube.com/watch?v=4xlwlU6h-wM

Robby Stein, VP of Product for Google Search, joins host Logan Kilpatrick to explore how Search is evolving into a frontier AI product. Their conversation covers the shift from simple keywords to complex, conversational queries, the rise of agentic capabilities that can take action on your behalf, and the vision to help billions of users truly "ask anything." Learn more about the technology behind AI Overviews, AI Mode, Deep Search, and the future of multimodal interaction.

Ani Baddepudi, Gemini Model Behavior Product Lead, joins host Logan Kilpatrick for a deep dive into Gemini's multimodal capabilities. Their conversation explores why Gemini was built as a natively multimodal model from day one, the future of proactive AI assistants, and how we are moving towards a world where "everything is vision." Learn about the differences between video and image understanding and token representations, higher FPS video sampling, and more. Chapters: 0:00 - Intro 1:12 - Why Gemini is natively multimodal 2:23 - The technology behind multimodal models 5:15 - Video understanding with Gemini 2.5 9:25 - Deciding what to build next 13:23 - Building new product experiences with multimodal AI 17:15 - The vision for proactive assistants 24:13 - Improving video usability with variable FPS and frame tokenization 27:35 - What’s next for Gemini’s multimodal development 31:47 - Deep dive on Gemini’s document understanding capabilities 37:56 - The teamwork and collaboration behind Gemini 40:56 - What’s next with model behavior

Connie Fan, Product Lead for Gemini's coding capabilities, and Danny Tarlow, Research Lead for Gemini's coding capabilities, join host Logan Kilpatrick for an in-depth discussion on how the team built one of the world's leading AI coding models. Learn more about the early goals that shaped Gemini's approach to code, the rise of 'vibe coding' and its impact on development, strategies for tackling large codebases with long context and agents, and the future of programming languages in the age of AI.

A conversation with Sergey Brin, co-founder of Google and computer scientist working on Gemini, in reaction to a year of progress with Gemini.

Tulsi Doshi (Head of Product, Gemini) and Josh Woodward (VP of Google Labs and Google Gemini) join host Logan Kilpatrick from Google I/O 2025 for a special edition of Release Notes. They unpack the latest launches, new models and tools for developers. Listen to learn more about 2.5 Pro Deep Think, Veo 3 and AI coding agents like Jules and Stitch. Watch on YouTube: https://www.youtube.com/watch?v=DPQF_6o4G_E

Join Google DeepMind's Nikolay Savinov with host Logan Kilpatrick as they discuss scaling context windows into the millions, recent quality improvements, RAG versus long context, and what's next in the field. Watch on YouTube: https://youtu.be/NHMJ9mqKeMQ

Tulsee Doshi, Head of Product for Gemini Models joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini 2.5 Pro experimental launch. Gemini 2.5 is a well-rounded, multimodal thinking model, designed to tackle increasingly complex problems. From enhanced reasoning to advanced coding, Gemini 2.5 can create impressive web applications and agentic code applications. Learn about the process of building Gemini 2.5 Pro experimental, the improvements made across the stack, and what’s next for Gemini 2.5.

Dave Citron, Senior Director Product Management, joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini updates and demos. Learn more about Canvas for collaborative content creation, enhanced Deep Research with Thinking Models and Audio Overview and a new personalization feature. 0:00 - Introduction 0:59 - Recent Gemini app launches 2:00 - Introducing Canvas 5:12 - Canvas in action 8:46 - Advanced Canvas examples 12:02 - Enhanced capabilities with Thinking Models 15:12 - Deep Research in action 20:27 - The future of agentic experiences 24:11 - Personalization in Gemini app 27:50 - Personalization in action 29:58 - How personalization works: user data and privacy 32:30 -The future of personalization

Jack Rae, Principal Scientist at Google DeepMind, joins host Logan Kilpatrick for an in-depth discussion on the development of Google’s thinking models. Learn more about practical applications of thinking models, the impact of increased 'thinking time' on model performance and the key role of long context.