Jason Liu (Website, X, Github, Newsletter) is a technologist, consultant, teacher, and friend.

He spent the first part of his career as a machine learning engineer, mostly at Stitchfix, only to run into a wall: a hand injury that prevented him from being able to write any software for over a year. Fortunately, he's not so one-dimensional, and spent time reclaiming somatic experience in learning to free-dive, train Jiu-Jitsu, and return to the pottery practice he developed in art school, all while reckoning with big questions of ambition, purpose, and self-fulfillment. Since then, he's built a consulting practice helping modern AI companies better implement RAG (retrieval-augmented generation), avoid system design mistakes, hire elite talent, and build for an LLM-centric world. He maintains a large structured output library called Instructor with about 1m downloads per month, writes prolifically (which he does entirely via voice input with LLM editing, as we discuss), tweets semi-manically (he's grown to 30K followers on X with the simplest strategy I've ever heard anyone articulate—tweeting 30K times), and teaches courses on RAG and online consulting. Finally, my man can yap. He was a perfect first guest because he has no shortage of ideas but comes at nearly everything with a beginner's mindset.

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