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" The paradigm for intelligence was logical reasoning, and the idea of what an internal representation would look like was it would be some kind of symbolic structure. That has completely changed with these big neural nets. "

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" 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. "

Geoffrey Hinton

Believe

You

People

" In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about. "

" Any new technology, if it's used by evil people, bad things can happen. But that's more a question of the politics of the technology. "

" Computers will understand sarcasm before Americans do. "

" I feel slightly embarrassed by being called 'the godfather.' "

" In science, you can say things that seem crazy, but in the long run, they can turn out to be right. We can get really good evidence, and in the end, the community will come around. "

" Machines can do things cheaper and better. We're very used to that in banking, for example. ATM machines are better than tellers if you want a simple transaction. They're faster, they're less trouble, they're more reliable, so they put tellers out of work. "

" I got fed up with academia and decided I would rather be a carpenter. "

" The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster. "

" 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. "

" Deep learning is already working in Google search and in image search; it allows you to image-search a term like 'hug.' It's used to getting you Smart Replies to your Gmail. It's in speech and vision. It will soon be used in machine translation, I believe. "

" The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data. "

" In the brain, you have connections between the neurons called synapses, and they can change. All your knowledge is stored in those synapses. "

" A deep-learning system doesn't have any explanatory power. "

" I had a stormy graduate career, where every week we would have a shouting match. I kept doing deals where I would say, 'Okay, let me do neural nets for another six months, and I will prove to you they work.' At the end of the six months, I would say, 'Yeah, but I am almost there. Give me another six months.' "

Geoffrey Hinton

You

I Am

" We now think of internal representation as great big vectors, and we do not think of logic as the paradigm for how to get things to work. We just think you can have these great big neural nets that learn, and so, instead of programming, you are just going to get them to learn everything. "

" Take any old classification problem where you have a lot of data, and it's going to be solved by deep learning. There's going to be thousands of applications of deep learning. "

" The brain sure as hell doesn't work by somebody programming in rules. "

" Making everything more efficient should make everybody happier. "

Geoffrey Hinton

Everybody

Everything

" Early AI was mainly based on logic. You're trying to make computers that reason like people. The second route is from biology: You're trying to make computers that can perceive and act and adapt like animals. "

" Everybody right now, they look at the current technology, and they think, 'OK, that's what artificial neural nets are.' And they don't realize how arbitrary it is. We just made it up! And there's no reason why we shouldn't make up something else. "

" My father was an entomologist who believed in continental drift. In the early '50s, that was regarded as nonsense. It was in the mid-'50s that it came back. Someone had thought of it 30 or 40 years earlier named Alfred Wegener, and he never got to see it come back. "

" I get very excited when we discover a way of making neural networks better - and when that's closely related to how the brain works. "

" All you need is lots and lots of data and lots of information about what the right answer is, and you'll be able to train a big neural net to do what you want. "