Move over, Mendeleev. MIT researchers have just dropped the AI equivalent of the periodic table, and it’s about as groundbreaking as the first time someone discovered fire.

In this episode, Max and Lisa dive deep into the "Periodic Table of Machine Learning"—a slick, unifying framework that organizes over 20 classical machine-learning algorithms based on their relationships with data points. It’s like high school chemistry, but with algorithms that are smarter than most people you know.

This isn’t just about categorizing algorithms that are already out there. MIT is predicting where new, undiscovered algorithms might fit—kind of like how the periodic table let us know what elements we hadn’t discovered yet. So, what’s next in the world of machine learning? Is AI about to break the laws of nature, or is this just another shiny science project for the geeks?

Get ready for a savage breakdown of what this new "Periodic Table" means for AI’s future, and whether we’re on the edge of the next great tech revolution—or just another marketing stunt from MIT.

Note: This project explores the new creative potential unlocked by generative AI, showcasing how a single person, in just two hours, can curate (not create, but curate) a polished podcast series. I recognize the critiques around AI-generated content and the potential for digital clutter but invite you to take a listen on your next walk or drive and see what you think. Audio is AI-generated by Google's NotebookLM. Images by Grok-3 and Magic Studio.