Essays
Long form and well baked: fewer of these, each one thought through. For quicker, rougher takes on whatever I'm reading, see the scribbles. Essays marked ★ took a lot more work.
2026
- Curing All Disease, Ahead of Schedule: Permission to dream bigger with complementary AI–human teams
From Andrew Lo's megafund to Mithril, Orchestra and Coefficient: what the AI hub-and-spoke means for pharma, CROs and the frontier labs, why Demis's ten years is both too optimistic and too pessimistic, and why humans must stay at the center of discovery.
- Some thoughts on designing optimal swarm architectures: the notion of the collective good in swarms
How do you get a swarm of AI agents to act for the collective, larger good, and not just the task in front of each agent, without the coordination overhead overwhelming the main goal & task? Lessons from human teams, GR's RLCR and OpenAI's Navier–Stokes...