Earlier quoted context omitted.
NLP is indeed at its top, NLP professors aren't :) Imagine if you had stayed in academia and kept working in MT for the last two decades. First of all, now you would see how LLMs render all your work pretty much obsolete. That's already hard for many people. Not so much for me, as I consider myself to be rather adaptable, and maybe not for you either - you can embrace the new thing and start working on it yourself, r…
Ah, okay. The scale is just too big for academia, makes sense. I remember that in my study days (just masters, not PhD) we have been unable to beat Google Translate already for general tasks, but we could beat it on weird language pairs, just because we could get more training data (mostly by downloading some ebooks online) and tinker with the algorithm a bit. But the scale argument - more data will be better - was t…
and the separate, unrelated