Advertise on podcast: Google AI: Release Notes

Google DeepMind SVP and Chief AI Architect Koray Kavukcuoglu joins host Logan Kilpatrick to reflect on the journey from DeepMind's early reinforcement learning milestones to Gemini and what it means to build AGI at Google. Watch along and learn: * What made Gemini 3.7 Flash a breakthrough for engineers * The ambitions of the Gemini 4 pre-training run * What it takes to stay at the frontier of AI research * How co-building AGI with users shapes everything the Google DeepMind team does 00:00 Intro 00:24 From models to coding agents 03:07 Gemini 4 pre-training 04:08 Why the frontier is all that matters 06:38 Leading frontier AI at Google 08:53 Why there's no test for AGI 10:58 Early days at DeepMind 15:08 Atari vs. real-world ambiguity 17:18 20 years of deep learning 18:47 The reality of engineering hill climbs 21:05 Why Google is the place to build AGI 22:19 Parallel model development 23:34 The shift to agentic coding 24:57 What makes models more intelligent Watch on YouTube: https://www.youtube.com/watch?v=Rrr2gdbvNFU

Carolina Parada, Stuart Bowers, Kanishka Rao, and Jie Tan from Google DeepMind join host Logan Kilpatrick inside the Gemini Robotics Lab to introduce Gemini Robotics 2, Google DeepMind's new suite of models bringing whole body intelligence, dexterity, and multi-robot collaboration to general purpose robotics. Their conversation covers the arc from reinforcement learning to vision language action models and the open challenge of physical AGI. Watch on YouTube: https://www.youtube.com/watch?v=-rYFDefcq3k

Sameer Samat, President of Android at Google, joins host Logan Kilpatrick to discuss Android 17 and what it means to shift from operating systems to intelligence systems. Their conversation covers why Android didn't say the word AI once at the Android Show, the new Gemini Intelligence feature suite including Rambler, app automation, Superfill, and generative widgets, and what it looks like when Gemini can see the road with you in a live demo inside a Volvo EX60. Watch on YouTube: https://www.youtube.com/watch?v=YvVsdZL2ogY

Yossi Matias, Vice President at Google and Head of Google Research, joins host Logan Kilpatrick for a wide-ranging conversation about what it means to do research at Google scale. Their conversation explores the "magic cycle” of research from breakthrough to real-world impact across flood forecasting, MedGemma, and the just-launched Gemini for Science. Learn more about AI tools for scientific discovery including Co-Scientist and Empirical Research Assistance (ERA), and topics like speculative decoding, generative UI, and quantum computing milestones including the Willow chip. Watch on YouTube: https://www.youtube.com/watch?v=FPBwadTeph0&t=1s

To mark the launch of Gemini 3.5 Flash, Logan Kilpatrick sat down at Gradient Canopy with four of the people who built it: Jeff Dean, Koray Kavukcuoglu, Noam Shazeer, and Oriol Vinyals. They talked about the origin of the Gemini project, the bet on a single unified model, why each Flash generation now outperforms the previous Pro, and what's coming next. Watch on YouTube: https://www.youtube.com/watch?v=8hfpLa5wPGo

Josh Woodward from Google Labs, Gemini and AI Studio and Tulsee Doshi from Google DeepMind join host Logan Kilpatrick to break down the biggest launches from Google I/O 2026, from Gemini 3.5 Flash and Gemini Omni to the debut of Gemini Spark. Their conversation digs into everything from agent payments and voice to predictions for what comes next. Watch on YouTube: https://www.youtube.com/watch?v=RsDSeMXaCak

Miriam 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

Google Workspace VP of Engineering Chandu Thota joins host Logan Kilpatrick for a deep dive into the all-new Gemini experience in Docs, Sheets, Slides and Drive. Gemini can now pull relevant information from your files, emails and the web to help you go from a blank page to a final draft, build entire spreadsheets and create presentation-ready slides. Their conversation covers the engineering journey behind deep canvas integration, user data privacy, and how new personal semantic indexes power features like AI Overviews in Drive. Watch on YouTube: https://www.youtube.com/watch?v=8wtKHwlKMBQ

Rick Osterloh, SVP of Platforms & Devices, and Parisa Tabriz, VP of Chrome, join host Logan Kilpatrick for a deep dive into the launch of Gemini in Chrome. They discuss the browser's evolution from a passive window to an active agentic assistant. Learn more about Auto Browse for automating web tasks, on-device creativity with Nano Banana, solving tab overload with History Recall, and the safety guardrails built with the User Alignment Critic. Watch on YouTube: https://www.youtube.com/watch?v=5OR4c87Xt-E

Jeff Chang, Myriam Hamed Torres, and Jason Baldridge from the Google DeepMind team join host Logan Kilpatrick for a deep dive into Lyria 3, Google’s latest music generation model. Their conversation explores the transition from simple audio generation to a model that acts as a collaborative instrument, providing creators with fine-grained control over mood, instrumentation, and vocals. Learn more about the technical challenges of prompt adherence in music, the importance of "vibe" in human evaluations, and the future of layered, iterative music composition. Watch on YouTube: https://www.youtube.com/watch?v=mQUpaaU02DM

Diego Rivas, Shlomi Fruchter, and Jack Parker-Holder from the Project Genie team join host Logan Kilpatrick for an in-depth discussion on Google DeepMind’s latest breakthrough in world models. Project Genie is an experimental research prototype that allows users to generate, explore, and interact with infinitely diverse, photorealistic worlds in real-time. Learn more about the shift from passive video generation to interactive media, the technical challenges of maintaining world consistency and memory, and how these models serve as an essential training ground for AI agents. Watch on YouTube: https://www.youtube.com/watch?v=Ow0W3WlJxRY

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.