Psychologist Quotes

Most people at CMU thought it was perfectly reasonable for the U.S. to invade Nicaragua. They somehow thought they owned it.
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.
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.
My main interest is in trying to find radically different kinds of neural nets.
My view is we should be doing everything we can to come up with ways of exploiting the current technology effectively.
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.
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.
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 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.
The brain sure as hell doesn't work by somebody programming in rules.
The NSA is already bugging everything that everybody does. Each time there's a new revelation from Snowden, you realise the extent of it.
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.
The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster.
The question is, can we make neural networks that are 1,000 times bigger? And how can we do that with existing computation?
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 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.
We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.
Children need to trust and depend upon those who are responsible for them.
Digital intimacy ruins the appetite for the real thing. So, when kids are gaming or even when spouses are gaming, they lose their appetite for genuine intimacy. Kids lose their appetite for getting their intimacy needs, their hunger for significance and attachment, with the family, and it erodes the relationship between them and their parents.
I started my career in parent education with the idea that we needed to let our kids go. I believed that parents were suffocating for their children. There was no room for individuality and personhood.
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