Google DeepMind is reshaping the AI landscape with an unprecedented wave of releases—from Gemini 3 to robotics and even data centers in space. Paige 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.The 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. The 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.00:00 Introduction01:30 Paige's Background & Connection to Modular02:29 Gemini Integration Across Google Products03:04 Jules, Gemini CLI & Anti-Gravity IDE Overview03:48 Gemini 3 Flash vs Pro: Live Demo & Pricing06:10 Choosing the Right Gemini Model09:42 Google's Hardware Advantage: TPUs & JAX10:16 TensorFlow History & Evolution to JAX11:45 NeurIPS 2025 & Google's Research Culture14:40 Google Brain to DeepMind: The Merger Story15:24 Palm II to Gemini: Scaling from 40 People18:42 Gemma Open Source Models20:46 Anti-Gravity IDE Deep Dive23:53 MCP Protocol & Chrome DevTools Integration26:57 Gemini CLI in Google Colab28:00 Image Generation & AI Studio Traffic Spikes28:46 Space Math Academy: Gamified NASA Curriculum31:31 Vibe Coding: Building with AI Studio & Anti-Gravity36:02 AI From Bits to Atoms: The Robotics Frontier36:40 Stanford Puppers: Gemini on Raspberry Pi Robots38:35 Google's Robotics Trusted Tester Program40:59 AI in Scientific Research & Automation42:25 Project Suncatcher: Data Centers in Space45:00 Sustainable AI Infrastructure47:14 Non-Dystopian Sci-Fi Futures47:48 Closing Thoughts & Resources- Connect with Paige on LinkedIn: https://www.linkedin.com/in/dynamicwebpaige/- Follow Paige on X: https://x.com/DynamicWebPaige- Paige's Website: https://webpaige.dev/- Google DeepMind: https://deepmind.google/- AI Studio: https://ai.google.devConnect with our host Conor Bronsdon:- Substack – https://conorbronsdon.substack.com/ - LinkedIn https://www.linkedin.com/in/conorbronsdon/Presented By: Galileo.aiDownload Galileo's Mastering Multi-Agent Systems for free here!: https://galileo.ai/mastering-multi-agent-systemsTopics Covered:- Gemini 3 Pro vs Flash comparison (pricing, speed, capabilities)- When to use Gemma open-source models- Anti-Gravity IDE, Jules, and Gemini CLI workflows- Google's TPU hardware advantage- History of TensorFlow, JAX, and Google Brain- Space Math Academy demo (gamified education)- AI-powered robotics (Stanford Puppers on Raspberry Pi)- Project Suncatcher (orbital data centers)

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