Geoffrey Hinton Quotes
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The brain sure as hell doesn't work by somebody programming in rules.
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In the brain, you have connections between the neurons called synapses, and they can change. All your knowledge is stored in those synapses.
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Computers will understand sarcasm before Americans do.
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Irony is going to be hard to get. You have to be master of the literal first. But then, Americans don't get irony either. Computers are going to reach the level of Americans before Brits.
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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.
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I got fed up with academia and decided I would rather be a carpenter.
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Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.
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I feel slightly embarrassed by being called 'the godfather.'
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In a sensibly organised society, if you improve productivity, there is room for everybody to benefit.
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The NSA is already bugging everything that everybody does. Each time there's a new revelation from Snowden, you realise the extent of it.
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Once your computer is pretending to be a neural net, you get it to be able to do a particular task by just showing it a whole lot of examples.
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Most people at CMU thought it was perfectly reasonable for the U.S. to invade Nicaragua. They somehow thought they owned it.
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In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.
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Humans are still much better than computers at recognizing speech.
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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.
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I think it's very clear now that we will have self-driving cars.
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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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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.
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I have a Reagan-like ability to believe in my own data.