Why I’m publishing my AI safety work in the open

What this site is for, what I’ll write about, and why working in public beats a polished portfolio.

I’ve spent the last year moving my research focus from FinTech economics toward AI safety by way of BlueDot Impact’s Technical AI Safety programme and a lot of Python. The empirical habits I built doing panel econometrics (identification, uncertainty, scepticism about my own results) apply directly to AI evaluations.

This site is where that work goes. Three kinds of posts to expect:

1. Working analyses. Empirical pieces with the code attached, starting with capability-evaluation questions and the economics of AI deployment.
2. Technical notes. Things I had to understand properly to make progress: evaluation methodology, threat modelling, the machinery behind modern LLMs.
3. Field notes. Honest write-ups of the transition itself, what a quantitative social scientist has to learn (and unlearn) to contribute to technical safety work.

Everything substantive gets cross-posted to LessWrong, where the safety research conversation actually happens. This site is the canonical home.

If you’re working on capability evaluations, evaluation assurance, or the economics of AI and want to compare notes — email me.