All episodes

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...

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...

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.