Notes from the field on healthcare, data governance, and organizational redesign in the age of AI.
A cross-domain talk written for the legal profession: from the paradigm shift and the changing role of data, to the 9 dimensions of data quality, dataset production for five classes of AI scenarios, the data flywheel, the Palantir ontology path, and finally the mapping to law and an action framework. 12 chapters.
AI in 2026 is a different animal from two years ago. From classic deep learning before 2022, to the GPT moment of 2022, to reasoning + multimodal + agents in 2026 — each generation demands a completely different shape of data.
This is the opening of a cross-domain talk written for the legal profession. Medicine and law are the two professional industries most alike in the age of AI — both highly specialized, both heavily regulated, both reliant on expert judgment, both costly when AI gets it wrong.
I’m Aaron 乐, CTO of Peking University Healthcare Group, driving an AI First strategy from 2026. This site isn’t a product page or a résumé — it’s where I think in public, using reflection to iterate on myself, and learning from AI along the way.
Learn more →“AI isn’t just software —
2026 · a late-night note
it’s software with a heartbeat.
