I mean, his conceptual arguments are pretty good, ML/LLMs/statistical learning methods have real problems with out of distribution inputs and samples, and there's really no way to work around this (that I know of).

I get what you mean though, even if he's right it must've been pretty annoying hearing the same thing all the time.