Intellectually Curious

Intellectually Curious is a podcast by Mike Breault featuring over 1,400 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.

All Episodes

Intellectually Curious

Model Collapse and the AI Data Dilemma

October 19, 2025 • Mike Breault

We unpack the looming threat of model collapse — when AI systems train on their own outputs and gradually forget how the real world works. From early-edge data decay to late-stage homogenization, we explore the math, the evidence in today’s LLMs, the debates on data provenance, and practical safeguards like watermarking and provenance tracking. Tune in for the stakes, the arguments, and what needs to change to keep AI learning from humans as well as machines.

Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.