Intellectually Curious
Intellectually Curious is a podcast by Mike Breault featuring AI-powered explorations across science, mathematics, philosophy, and personal growth. Each short-form episode is generated, refined, and published with the help of large language models—turning curiosity into an ongoing audio encyclopedia. Designed for anyone who loves learning, it offers quick dives into everything from combinatorics and cryptography to systems thinking and psychology.
Inspiration for this podcast:
"Muad'Dib learned rapidly because his first training was in how to learn. And the first lesson of all was the basic trust that he could learn. It's shocking to find how many people do not believe they can learn, and how many more believe learning to be difficult. Muad'Dib knew that every experience carries its lesson."
― Frank Herbert, Dune
Note: These podcasts were made with NotebookLM. AI can make mistakes. Please double-check any critical information.
Intellectually Curious
Latest Episodes
Kimi K3 Unleashed: The Open-Source AI that Multiplies Human Insight
Dive into Kimi K3, a 2.8 trillion-parameter open model with a 1‑million-token context and Delta attention that turns massive data into actionable insight. From building a complete GPU compiler stack to live-vision–driven game creation, autonomo...
Neurosymbolic Sportscasting: Real-Time AI Narrates RoboCup
From chaotic boxy robots to a coherent play-by-play, this episode unpacks how neurosymbolic AI turns raw RoboCup data into engaging narration. We explore the vision front-end (YOLOv12) that maps players to a clean 2D map, the symbolic event ext...
Synchronizing Nano-Oscillators for Next-Generation AI Computing Hardware
Recent scientific breakthroughs have successfully synchronized a massive network of 105,000 magnetic nano-oscillators within a mere 45 nanoseconds, representing a major leap for the field of spintronics. Unlike traditional ...
AI Disproves the Benjamini–Hochberg Conjecture
The false discovery rate (FDR) is a statistical framework designed to manage the proportion of incorrect "discoveries" when conducting multiple hypothesis tests simultaneously. Historically, researchers relied on the Benjamini-Hochber...
Conjecture Machines: AI Agents and the Future of Science
We explore how AI agents like Google's Co-Scientist move beyond scraping papers to actively reasoning, planning, and validating ideas. From extended-step reasoning to scaffolding that gives AI short-term memory and tool access, and from codifie...
