Agentic AI writings

I love getting to share counterintuitive ideas about building agentic AI with other people, and I mostly stick to Twitter when I write about it. Here’s a small collection of my writings, but you can find a lot more if you follow me on Twitter.

Traps in building agents

This thread is about some seductive ideas that sound very smart but are actually a massive waste of time when building agentic AI. You can read through a large discussion that happened on Twitter about this.

Agentic search is a very difficult unsolved problem and has historically had all different kinds of strategies. The most common ones are grep and vector search, but each has its pitfalls. It’s still unclear to me what the actual answers are here.

Self hosting inference mini book

A mini book on self-hosting inference, covering the practical details of running your own inference stack.

Recursive self improvement

A striking example of recursive self improvement in action: an agent improving its own harness to boost its performance and cut its run cost.

Open source model labs

This post is about how open source model labs like MiniMax are actually doing extraordinary work with smaller models, which are just as good as the larger ones.

Doing things and telling people

Many of us are just lurking through the internet and not sharing, thinking our ideas are not worth sharing, and this post explains why sharing ideas is critical not just for yourself but for the world.