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
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...
AI Bedtime: How Sleep Unlocks Infinite Learning
We unpack the Cornell–Google idea that AI can consolidate memories through wake–sleep cycles—seeding stable knowledge, rehearsing with synthetic data, and self-improving without catastrophic forgetting. This episode explores how knowledge seedi...
Measuring Brilliance in Generative AI: Perplexity, Precision, and Faithfulness
We unpack how to evaluate AI that writes and creates, not just predicts. Why perplexity captures surprise, why a low perplexity score isn’t a guarantee of correctness, and how precision, recall, and the harmonic F1 balance model performance. We...
