Intellectually Curious
Intellectually Curious is a podcast by Mike Breault featuring over 1,800 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
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...
WallZero: Mastering WallGo with Strategic AI Analysis
We dive into the WallGo breakthrough where an AI called WallZero uses a reachability mindset to plan future moves on a shifting 7x7 board, defeating top players and revealing new depths of strategic game design. From endgame point sacrifices th...
From Snarks to Matrices: AI Cracks the Cycle Double Cover Conjecture
We dissect the Cycle Double Cover Conjecture, the stubborn snark class of graphs, and a sensational July 2026 preprint in which GPT-5.6 Sol Ultra orchestrates 64 AI agents to produce a universal mathematical proof in eight hours by reframing th...
How a Memory Sidekick Prevents AI Agents From Getting Lost
We dive into MetaAI's July 10, 2026 paper Remember When It Matters: proactive memory agent for long-horizon agents. Learn how separating memory from the main action system combats behavioral state decay, using a two-phase memory agent that acti...
Google's Quantum Computer Repairs Itself Mid-Calculation
A Google Quantum AI team demonstrates a reinforcement-learning agent that continuously tunes thousands of control parameters on a quantum processor, using error-detection events as a live learning signal. With a sparse-factor-graph surrogate ob...
