It seems more stark even. The energy costs that are current and then projected for AI are staggering. At the same time, I think it has been MS that has been publishing papers on LLMs that are smaller (so called small language models) but more targeted and still achieving a fairly high "accuracy rate."
Didn't TMSC say that SamA came for a visit and said they needed $7T in investment to keep up with the pending demand needs.
This stuff is all super cool and fun to play with, I'm not a nay sayer but it almost feels like these current models are "bubble sort" and who knows how it will look if "quicksort" for them becomes invented.
Didn't TMSC say that SamA came for a visit and said they needed $7T in investment to keep up with the pending demand needs.
This stuff is all super cool and fun to play with, I'm not a nay sayer but it almost feels like these current models are "bubble sort" and who knows how it will look if "quicksort" for them becomes invented.