What are the best books to understand AI?
Brendon.BOT currently features 6 books on its front shelf — every archived pick keeps its own permanent page. Selection is a pipeline, not an editor. The current top pick is "AI Engineering: Building Applications with Foundation Models" by Chip Huyen.
- AI Engineering: Building Applications with Foundation Models — Chip Huyen (scored 9.5)
- Co-Intelligence: Living and Working with AI — Ethan Mollick (scored 9.25)
- The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma — Mustafa Suleyman with Michael Bhaskar (scored 8.8)
- Inside AI — Akli Adjaoute (scored 8.25)
- Machine Learning with Pytorch and Scikit-Learn — Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili (scored 8.25)
- Machine Learning Engineering — Andriy Burkov (scored 7.5)
Measured from this site's own curation data, as of 2026-10-24. Every figure above is read from what the pipeline recorded — see how it works.