A hugely intentful datastream: corrections users make to a model's output.

It's right at the edge of almost right, but needs a tweak by a user.

A user not changing the output isn't super useful: maybe it just wasn't useful output.

Changes users make to a PR, rather than all of the code itself, narrows in on the precise things that were wrong about the PR in the first place: laser focused quality improving data.

It has very little noise, because a user wouldn't bother correcting it if it wasn't close enough to right but still not right.

A way of writing code: don't give it a big design doc, just tell it to do a thing and then give it feedback on specific things that are not what you wanted. You don't have to give feedback on the things that it just guesses right because they're the obvious thing.