mechanistic interpretability researcher. economist. i spend most of my time trying to understand what's actually happening inside neural networks, and the rest thinking about what happens to markets and institutions when AI reshapes them.
currently working on:
- mechanistic interpretability research
- the economics of AI — productivity, labor markets, long-run growth
- prediction markets as epistemic infrastructure
interested in: AI safety · mech interp · prediction markets · crypto as financial infrastructure · effective altruism
recent writing @ abhishekdev.com
- Why mechanistic interpretability matters — we built the most powerful technology in history and we can't explain how it works
- AI will make economists of us all — the most important questions about AI aren't technical. they're economic.
- Prediction markets are underrated — the best forecasting tool we have and almost nobody uses it