Mountains in mist

吕

Xinjiang Lu

Care and computation, written from the builder's side of the seam.

The ideas I keep returning to, written down once each.

  1. Care and computation are one subject

    Why I stopped treating care and computation as two subjects.

  2. Why training is structured and careers are not

    Medicine builds the most structured training path in any profession and then abandons it at the exit.

  3. What a machine must never decide for a patient

    Where I draw the line for AI in care, and why the line is about accountability rather than accuracy.

Work

What was built from them.

  1. Mozibox

    An AI career copilot for physicians, the company I co-founded.

  2. The fleet: companies run by agents

    Most of my companies' engineering is done by a fleet of AI agents. What that is like, and what it is not.

Said out loud, most recent first.

  1. How to Take an AI Startup From Idea to Revenue

    Fireside guest, Founder Institute

  2. MEDFUTURE 2026

    Attended, Santa Clara County Medical Association

  3. Panel on AI and the physician workforce

    Panelist, alongside OpenEvidence and Mercor, WOHC 2026, Western Occupational and Environmental Medical Association

Open on the desk: Billionaire Backlash by Pepper D. Culpepper and Taeku Lee.

The whole shelf

An album, still being chosen.

Open the album

Travel for its own sake: 38 places so far, each an ink dot on the map.

Unroll the map

A technologist who builds for the people who take care of us, and a note on how to say my name.

Who is writing this