Google AI: Release Notes

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

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

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.

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.

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

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

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

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