A Quote by Geoffrey Hinton

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.
We've been working now with computers and education for 30 years, computers in developing countries for 20 years, and trying to make low-cost machines for 10 years. This is not a sudden turn down the road.
Artemis felt like he was six again and caught hacking the school computers trying to make the test questions harder
I think that having been around computers all my life - my father had brought home personal computers at a very early age in the '70s - so being around computers from a very early age perhaps I had even subconsciously seen the exponential progression of what was happening with computers.
Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.
Even though chess isn't the toughest thing that computers will tackle for centuries, it stood as a handy symbol for human intelligence. No matter what human-like feat computers perform in the future, the Deep Blue match demands an indelible dot on all timelines of AI progress.
Computers are like horses; they can sense fear and will act based on that.
Everything is being run by computers. Everything is reliant on these computers working. We have become very reliant on Internet, on basic things like electricity, obviously, on computers working. And this really is something which creates completely new problems for us. We must have some way of continuing to work even if computers fail.
At the age of 5, when I was in kindergarten, I often used to pass by the computer labs and see students doing work on computers. I realized that calculation, which would take us a long time to do, can be done in less than a second with the help of computers. So that is how my interest in computers began.
The spread of computers and the Internet will put jobs in two categories. People who tell computers what to do, and people who are told by computers what to do.
Because I believe that humans are computers, I conjectured that computers, like people, can have left- and right-handed versions.
People are trying to build a society where they can talk across the aisle so to speak, and have civil discourse. At the same time we're trying to inform ourselves about what's really true so that we can make evidence based decisions that is better than superstition or rumor. But the fact is that people who use evidence based decision making have much better life outcomes, greater life satisfaction, they live longer, they make better personal and medical decisions, better financial decisions. But parallel to that is you can't reason somebody out of a position they didn't reason themselves into.
People think computers will keep them from making mistakes. They're wrong. With computers you make mistakes faster.
People don't understand computers. Computers are magical boxes that do things. People believe what computers tell them.
It always helps to be a good programmer. It is important to like computers and to be able to think of things people would want to do with their computers.
I'm trying to get through life without really knowing about computers, but I don't know if I am going to make it.
If we can make computers more intelligent - and I want to be careful of AI hype - and understand the world and the environment better, it can make life so much better for many of us. Just as the Industrial Revolution freed up a lot of humanity from physical drudgery I think AI has the potential to free up humanity from a lot of the mental drudgery.
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