Podcast
Google AI: Release Notes
Hosted by Google AI · EN
Ever wondered what it's really like to build the future of AI? Join host Logan Kilpatrick for a deep dive into the world of Google AI, straight from the minds of the builders. We're pulling back the curtain on the latest breakthroughs, sharing the unfiltered stories behind the tech, and answering the questions you've been dying to ask.
Whether you're a seasoned developer or an AI enthusiast, this podcast is your backstage pass to the cutting-edge of AI technology. Tune in for:
- Exclusive interviews with AI pioneers and industry leaders.
- In-depth discussions on the latest AI trends and developments.
- Behind-the-scenes stories and anecdotes from the world of AI.
- Unfiltered insights and opinions from the people shaping the future.
So, if you're ready to go beyond the headlines and get the real scoop on AI, join Logan Kilpatrick on Google AI: Release Notes.
10episodes
Episodes
Newest firstAll episodes
Google Maps Leaders Talk About Its Biggest Update in 10 Years
Mar 1200:36:03Tap to summarizeMiriam Daniel and David Cronin join host Logan Kilpatrick to unveil the biggest update in Google Maps history. This episode explores the launch of Ask Maps, a conversational experience powered by Gemini 3.0 Pro, and Immersive Navigation, a high-fidelity 3D driving experience. Learn how Gemini is making navigation more intuitive, personalized, and stress-free. Watch on YouTube: https://www.youtube.com/watch?v=YzZFdHzx-Y4
Transcribe →Gemini in Workspace: New Ways to Create Faster
Mar 1200:40:12Tap to summarizeChapters: 1:15 - Gemini in Docs 3:17 - Which models power Workspace 3:45 - AI Overviews in Drive 5:22 - Rollout and availability 6:33 - Reimagining every Workspace canvas 8:58 - Gemini in Calendar 9:50 - The future of the side panel 11:16 - A new way to work 13:18 - AI-powered slide generation 15:08 - User data and privacy 19:07 - Balancing AI innovation and user trust 22:04 - The power of Google Vids 24:42 - The journey to deep canvas integration 28:32 - Vibe coding meets Apps Script 32:42 - AI as a tool for thinking
Transcribe →Gemini in Chrome: Your agentic browsing assistant
Mar 1200:48:32Tap to summarizeChapters: 0:00 - Introduction 2:49 - Evolution from web apps to integrated assistants 4:37 - Chrome as a platform for personal context 6:38 - Navigating the context overload problem 7:52 - Transforming media in-context with Nano Banana 9:10 - Solving tab overload with history recall 13:28 - The browser as an automated workflow system 15:50 - Demo: Nano Banana 17:20 - Demo: Auto browse 22:48 - Demo: Agentic research and guardrails 26:04 - Designing for billions 29:14 - Transitioning to agentic web actuation 30:37 - Standards and security in an AI-driven web 35:18 - Infrastructure and investment strategy 39:23 - Empowering knowledge workers 42:11 - Collaboration within Google 44:18 - Safety and the user alignment critic
Transcribe →Inside Lyria 3, Google's music generation model
Feb 1800:36:38Tap to summarize1:00 - Defining music generation models1:40 - Lyria as a new instrument3:05 - Connecting language and creative intent5:08 - Guest backgrounds and musical journeys7:57 - Demo: Instrumental funk jam8:29 - Bridging the gap for non-musicians12:03 - Demo: Exploring lyrics and vocals15:07 - The magic of iterative co-creation15:40 - Meeting users across the expertise spectrum17:01 - Empowering new musical expressions18:29 - Emotional and communal impact of music19:51 - Opportunities for developers and community21:09 - Real-time vs. song generation models23:23 - Creating experimental sonic landscapes25:08 - Demo: Capturing unexpectedness and energy28:33 - Evaluating music through taste and expertise31:30 - The diligence of music evaluation31:52 - The future of Lyria and AI-first workflows35:07 - Articulating creative vision through languag
Transcribe →Project Genie: Create and explore worlds
Jan 3000:42:31Tap to summarizeChapters:00:00 - Intro and defining world models and RL roots01:51 - Demo: Goldfish and shark in underwater world04:59 - Project Genie gallery06:31 - Physics, remixing, and UI prompts11:00 - Demo: Nano Banana mascot “Bob”13:20 - Constraints, generation limits, and infrastructure17:04 - Trusted testers and robotics future28:34 - Frontier prompting and universal simulation29:27 - Cross-Google collaboration31:16 - Adoption timelines and impact34:16 - Model generalization and historical context38:52 - Hardware limits and the slope of progress
Transcribe →Gemini 3 and Gen UI in Google Search
Dec 1800:21:44Tap to summarizeRhiannon 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
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Sundar Pichai: Gemini 3, Vibe Coding and Google's Full Stack Strategy
Nov 2600:27:34Tap to summarizeLogan 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
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Nano Banana Pro: Hands-on with the World’s Most Powerful Image Model
Nov 2600:36:24Tap to summarizeIntroducing 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
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Koray Kavukcuoglu: “This Is How We Are Going to Build AGI”
Nov 2500:48:44Tap to summarizeJoin 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
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Google Antigravity: Hands on with our new agentic development platform
Nov 2500:44:49Tap to summarizeExplore 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
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