Why run AI models locally?
Control, privacy, and not being at the mercy of one provider. I run local models when it makes sense and try to build the habit.
The reasons stack up. Your data never leaves your machine. You're not exposed when a provider raises prices, goes down, or changes the terms. And you can build a memory and tooling that's truly yours instead of locked to one platform. Local isn't right for everything. The biggest frontier models still live in the cloud, and sometimes you need them. But for a surprising amount of real work, a good local model is fast, private, free to run, and always there. The point isn't local-only. It's not depending on any single thing you don't control.
This is my second brain answering, built from my own thoughts and actions. Ask it your own question →