
Intellectually Curious
Intellectually Curious is a podcast by Mike Breault featuring over 1,200 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
OEIS A000329: Tangent Iteration Sequence
We explore A000329, the tangent-iteration sequence defined by b(0) = 1 and the nearest integer to b(n), where b(n) = tan(b(n-1)). The interplay between the continuous, blow-up behavior of tan near odd multiples of π/2 and the discrete rounding step yields a surprisingly erratic sequence (with terms wandering through 1, 2, 75, -1, -1, -2 … and beyond). We unpack how the sensitivity of tan to its input, combined with rounding, acts as a powerful nonlinearity that can send the next term in a completely different direction from tiny fluctuations. This makes numerical computation extremely delicate: standard floating-point is far from enough, and interval arithmetic or very high-precision arithmetic are used to bound errors and verify terms. Some computations reportedly require tens of thousands of bits of precision to stay on the true trajectory, illustrating the fragile, chaotic-like dynamics of a simple rule. We’ll also discuss how small changes in the starting value could dramatically alter the long-term behavior and what this reveals about deterministic maps in number theory and numerical analysis.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC