This document discusses the intersection of art, science, and programmable intelligence in the current era. It introduces Eliza and Cleverbot as early examples of AI assistants and compares their abilities to stay on topic in conversations. It then covers concepts in machine learning like supervised versus unsupervised learning and examples of algorithms like linear regression, decision trees, and logistic regression. It concludes by asking about views on machine learning in the programmable age.