{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Chain of Thought | AI Agents, Infrastructure & Engineering","title":"Gemini 3 & Robot Dogs: Inside Google DeepMind's AI Experiments | Paige Bailey","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/9751537d\"></iframe>","width":"100%","height":180,"duration":3053,"description":"Google DeepMind is reshaping the AI landscape with an unprecedented wave of releases—from Gemini 3 to robotics and even data centers in space.\nPaige Bailey, AI Developer Relations Lead at Google DeepMind, joins us to break down the full Google AI ecosystem. From her unique journey as a geophysicist-turned-AI-leader who helped ship GitHub Copilot, to now running developer experience for DeepMind's entire platform, Paige offers an insider's view of how Google is thinking about the future of AI.\nThe conversation covers the practical differences between Gemini 3 Pro and Flash, when to use the open-source Gemma models, and how tools like Anti-Gravity IDE, Jules, and Gemini CLI fit into developer workflows. Paige also demonstrates Space Math Academy—a gamified NASA curriculum she built using AI Studio, Colab, and Anti-Gravity—showing how modern AI tools enable rapid prototyping.\n\nThe discussion then ventures into AI's physical frontier: robotics powered by Gemini on Raspberry Pi, Google's robotics trusted tester program, and the ambitious Project Suncatcher exploring data centers in space.\n00:00 Introduction\n01:30 Paige's Background & Connection to Modular\n02:29 Gemini Integration Across Google Products\n03:04 Jules, Gemini CLI & Anti-Gravity IDE Overview\n03:48 Gemini 3 Flash vs Pro: Live Demo & Pricing\n06:10 Choosing the Right Gemini Model\n09:42 Google's Hardware Advantage: TPUs & JAX\n10:16 TensorFlow History & Evolution to JAX\n11:45 NeurIPS 2025 & Google's Research Culture\n14:40 Google Brain to DeepMind: The Merger Story\n15:24 Palm II to Gemini: Scaling from 40 People\n18:42 Gemma Open Source Models\n20:46 Anti-Gravity IDE Deep Dive\n23:53 MCP Protocol & Chrome DevTools Integration\n26:57 Gemini CLI in Google Colab\n28:00 Image Generation & AI Studio Traffic Spikes\n28:46 Space Math Academy: Gamified NASA Curriculum\n31:31 Vibe Coding: Building with AI Studio & Anti-Gravity\n36:02 AI From Bits to Atoms: The Robotics Frontier\n36:40 Stanford Puppers: Gemini on Raspberry Pi...","thumbnail_url":"https://img.transistorcdn.com/Qn8RSZeOW_fLo0VHUhIAyNP8D0ABIIQ39lKvvuHniR8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZWU3/Mjk4NDcwNGRiOGI4/NWUwMTQ0ZjA1NjM3/ZWU0Ny5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}