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.

Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick to go behind the scenes of Gemini 2.0, taking a deep dive into the model's multimodal capabilities and native tool use, and Google's approach to shipping experimental models. Watch on YouTube: https://www.youtube.com/watch?v=L7dw799vu5o Chapters: Meet Tulsee Doshi Gemini's Progress Over the Past Year Introducing Gemini 2.0 Shipping Experimental Models Gemini 2.0’s Native Tool Use Function Calling Multimodal Agents Rapid Fire Questions

Logan Kilpatrick sits down with Emanuel Taropa, a key figure in the development of Gemini to delve into the cutting edge of AI. Taropa provides insights into the technical challenges and triumphs of building and deploying large language models, focusing on the recent release of the Flash 8B Gemini model. Their conversation covers everything from the intricacies of model architecture and training to the practical challenges of shipping AI models at scale, and even speculates on the future of AI.