I'm not sure how anyone who's watched the exponential growth of a brand new domain can pick a point today to and say that things aren't as good as we expected. What may have happened was that some eager CEOs have overpromised on timelines and resources. But the revolution is coming, ML is already starting to change society.
We're building the tech. Right now. The author does not even realise the immeasurable potential that general purpose function approximators are having right now across all domains. The applications are not only limitless but they're being realized right now and it's insulting to have my work dismissed so shallowly by someone who speaks with such authority.
There's far more to do with ML and AI than self driving cars and shitty ad recommendations. It's just that the people who live at the intersection of mathematics, programming, and third domains are rare; give us some time. Even $16T in value by 2030 is 2-4 US GDPs from something which basically did not exist 5 years ago.
We're building the tech. Right now. The author does not even realise the immeasurable potential that general purpose function approximators are having right now across all domains. The applications are not only limitless but they're being realized right now and it's insulting to have my work dismissed so shallowly by someone who speaks with such authority.
There's far more to do with ML and AI than self driving cars and shitty ad recommendations. It's just that the people who live at the intersection of mathematics, programming, and third domains are rare; give us some time. Even $16T in value by 2030 is 2-4 US GDPs from something which basically did not exist 5 years ago.