The question is, can we make neural networks that are 1,000 times bigger? And how can we do that with existing computation?
In a sensibly organised society, if you improve productivity, there is room for everybody to benefit.
Computers will understand sarcasm before Americans do.
Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.
The role of radiologists will evolve from doing perceptual things that could probably be done by a highly trained pigeon to doing far more cognitive things.
We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.
