# AI

Date: 2026-08-15

Author: Zhenzhao Tu

I spend a lot of time around machine learning and a smaller amount of time believing what people say about it. The part I trust is closer to applied math: when a model is actually learning a representation, when it is interpolating in a kernel, and what that difference costs.

The research-shaped version of this is [network richness](/notes/network-richness/). The argument-shaped version is email. I am happier to discuss this than to maintain a stream of takes.

If you want to argue, the [contact](/contact/) page is the door. If you want papers, they are [here](/papers/).

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