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
Meet Jacq: Turning AI Model Blueprints into GPU Code
What if describing an AI model could also produce the code that runs it? Meet Jacq, an open-source language and compiler from Keith Ballinger and Impossible Computing that turns declarative model descriptions into standalone CUDA C++ and compan...
Hidden Worlds: Software Helps Webb See Past Starlight
How do you photograph a planet when its star overwhelms the view? We explore FLIP, a physics-based imaging technique that models the James Webb Space Telescope's tiny optical changes and subtracts the glare they leave behind. Applied to existin...
FlashProve: How Can You Check Which AI Model Ran?
When you send a prompt to an AI service, how could you check which model did the calculation? FlashProve, a research prototype from Anthropic and collaborators, uses cryptography to give the person asking that question something they can verify...
VFlash: How Robots Plan a Move in One Pass
A robot reaching for a block needs a path for its gripper. A vision-language model can describe that path as a series of coordinates, but writing them one token at a time takes time while the scene keeps changing. What if the model could sketch...
Inside Vera Rubin: How NVIDIA Builds a Rack-Scale Supercomputer
What does it take to make 72 GPUs work together on a single AI problem? Inside NVIDIA’s Vera Rubin NVL72, 36 Vera CPUs share a liquid-cooled rack with 72 Rubin GPUs. The CPUs coordinate the work, the GPUs perform the calculations, and a network...
