Apple's new M2 Max has a neural engine which can do 15 trillion flops. Nvidias's A100 chip (released almost 3 years ago) can do 315 trillion flops. Apple is not going to close this 20x gap in a few years.
FTFY, remember it takes 8 of those to even load the thing. And when the average laptop has that much compute, GPT 4 will seem like Cleverbot in comparison to the state of the art.
I think the tuning the models to the hardware piece is important, and of course there is much more incentive to do this for Apple than nvidia because of the distribution and ecosystem advantages Apple have.
But also, I don't know... let's see what the curve looks like! It's only been a couple of years of these neural engines. Let's see how many flops M3 can hit this year. And then m4 the next. Again, 5 years is a long time actually when real improvement is happening. I am optimistic.
"More specialised than GPU" is the game for now.
(I'm assuming the original comment meant literally putting the network as is in the purpose designed chip)