Dan Munz

This post originally appeared on the Ad Hoc blog, coauthored with my delightful colleague Ari Hershowitz.

Grady Booch, one of the genuine elders of the software engineering discipline1, recently did a two-hour conversation with Gergely Orosz on the Pragmatic Engineer podcast.

This post was co-authored with Mark Headd, my colleague at Ad Hoc and a brilliant thinker and doer on technology and government.

I'm increasingly intrigued by a concept called Hierarchical Reasoning Models (HRM), a potential alternative architecture to traditional LLMs.1 Last month, Sapient released an open-source HRM and accompanying paper.

Because my buddy Todd is rad, I got to see The Pixies live at The Anthem in DC this weekend.

I had to read this one twice: In our main experiments, a "teacher" model with some trait T (such as liking owls or being misaligned) generates a dataset consisting solely of number sequences.

I was futzing around with ChatGPT the other day to see how much info I could get it to cram into a single answer1.

Right after WWDC, I was feeling underwhelmed and a little baffled.

Everyone’s having a good laugh at this image going around Twitter: But I think it’s actually a surprisingly useful way of thinking about AI: Not as a technology but as a product methodology.