I mean, without those rudimentary building blocks they wouldn't have a lot of data and talent ready to investigate LLM's (and ofc, lots of polish on the NLP framework. Not as flashy, but very important for the UX). I don't see it as a failed experiment so much as a raw prototype if we believe LLM's can realize the true potential. Heck, for all we know, we were actually just training the model for this past decade.
What are you talking about? What "rudimentary building blocks" came as a result of voice assistants? They have nothing at all in common with LLMs. Your post is pure non-sequitur.
A bulk of data that the product trained upon in order to execute a task based upon promoting instead of a rigid command?
They only have nothing in common if you think of a Voice assistant as no smarter than those auto prompt customer support lines. Clearly Siri/Cortana/Google assistant had sole basic context mapping.
