What do acronyms like RAG and GPT really mean? What is the math behind the “magic” of deep learning? What is a “perceptron” and why is it called a “neural network?” This talk demystifies AI’s field of machine learning for AI-curious technical and non-technical audiences alike. The concepts, mental models, and history needed to grok are colorfully illustrated and explained. From the award-winning cartoonist turned engineer/keynote speaker who has taught millions of developers via react.dev and MDN.