gatapia2

I don't understand Jev. Its a generic classifier right? Like the classifiers we were building 15 years ago with random forrests and logistic regressions, but just generic. What's so revolutionary? And how can the accuracy be any better than a custom trained classifier that can be built in a day (an hour using Claude).

I don't understand the hype.

That git commit is very impressive (for Claude)

Edit: Oh, I think the main dev is just using Claude to do the commits (I guess to summarise changes, etc). It does not mean that Claude wrote all that code.