August 2026 notes on stubs

These are some one-liners that I want to expand into ~600-word focus posts to link to from other posts (or just find a good canonical reference that makes the point).

eval data is what you eval on...

there's always a model in prod...

scaling laws for evals...

pretraining detente and clearer public/private split

centrist take on distillation

we should freak out about Terms of Service from organizations trying to build "AGI"