Tbf they’re not optimizing for information recall or “inaccuracy” reduction, they’re optimizing for intuitive understanding of human linguistic structures. Now

Tbf they’re not optimizing for information recall or “inaccuracy” reduction, they’re optimizing for intuitive understanding of human linguistic structures. Now the “why does a search company’s AI have terrible RAG” question is a separate one, and one best answered by a simple look into how Google organizes its work. In my first day there as an entry-level dev (after about 8 weeks of onboarding and waiting for access), I was told that I should find stuff to work on and propose it to my boss. That sounds amazing at first, but when you think about a whole company organized like that… EDIT: To illustrate my point on knowledge recall: how would they train a model to know about sexism in feudal Japan? Like, what would the metric be? I think we’re looking at one of the first steam engines and complaining that it can’t power a plane yet…