Using AI agents is an exercise in management. If engineers are becoming managers of machines, what happens to craft, learning, and ownership?

When should you split one AI agent into many? A rough mathematical model for deciding.

I am often asked for recommendations on reading materials for those working with AI/ML and LLMs. Here is a short list of what I read (and re-read!).

Approximate transcript of a talk I gave at Stanford's data science department on 4/17, on my reflections tackling fraud with AI and data science.

Who knows what an "AI agent" is? Amidst the industry hype, this is an (amateur) attempt at a somewhat rigorous definition.