Intellectually Curious
Five minutes of wonder. Discover something fascinating about AI, space, science, or mathematics—with an optimistic view of what comes next.
Intellectually Curious is a daily podcast for people who love learning. Explore surprising ideas, ingenious inventions, and discoveries that reveal how our universe works and what people can achieve. Most episodes run 5–7 minutes: a little curiosity to brighten your morning, commute, or coffee break.
Follow for a new discovery every day.
Created and curated by Mike Breault. Episodes are generated with Google NotebookLM. Mike listens to and reviews every episode before publication. AI can make mistakes; please double-check critical information.
Sponsored by Embersilk — embersilk.com
Intellectually Curious
Latest Episodes
Agent S4: How AI Agents Build Their Own Tools
What if an AI agent could improve the tools it uses, instead of waiting for a human to redesign them? We explore Agent S4, a research system that evolves the software interfaces used by computer-operating agents. A meta-agent studies task exper...
Crystals Meet AI: Connecting Atomic Structures and Language
What if describing the material you want could help you find promising candidates? We explore CLaC, an AI model that connects three-dimensional crystal structures with language. Researchers trained it using descriptions generated from computed ...
Inside Prometheus: How Meta Builds an AI Supercluster
What does it take to make hundreds of thousands of GPUs work together? We step inside Prometheus, Meta's gigawatt-scale AI supercluster in New Albany, Ohio, whose first phase helped train the Muse family of models. Meta says the system already ...
Four Gemini Agents Beat Minecraft: From Code to Cooperation
Four AI agents, one shared world, and an Ender Dragon to defeat. We explore how Gemini 4 Argon coding agents completed a single Minecraft survival run on Easy difficulty, writing JavaScript programs using Mineflayer and reading text feedback. O...
Inside MAI-Base-2: Microsoft's Approach to Efficient AI Training
How can a huge AI model put only part of its network to work at a time? Drawing on Microsoft's pre-training report, we explore MAI-Base-2 and its mixture-of-experts design, where the total parameter count is much larger than the portion used fo...
