Chosen, not collected
A short list, on purpose. Each of these earned its place by changing how I work — the caption is why it's worth your hours, not just what it's about.
The clearest account of why "the model works" and "the model is right" are different claims — the distinction every enterprise AI program is built on.
Strips AI down to its economic primitive — cheap prediction — and suddenly every roadmap decision gets easier to price. Still underrated.
The most practical framing of working with models rather than around them. Hand it to the executive who wants one book, not ten.
The best current field guide to building with foundation models in production — the backbone of the course.
Decision quality under uncertainty, separated from outcome quality. Quietly, this is the whole job description of an AI product manager.
How to hold beliefs with calibrated confidence and update them without drama — the temperament the field needs more of.
Where this site's name comes from, in spirit: most of what looks like insight is noise, and telling the difference is a learnable skill.
Still the best writing on leverage. Most AI strategy documents are Grove with new nouns — better to read the original.
Less for the specific rules than for the habit: write down what you've learned, in a form someone else can test. This site follows that habit.