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.
Geoffrey HintonRead
I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.
Interpretation
Artificial intelligence should be modeled after the human brain to be successful.
Geoffrey Hinton emphasizes the importance of mimicking human brain functions in the development of artificial intelligence. He acknowledges the progress made in this field while recognizing the ongoing challenges and the need for a deeper understanding of brain mechanisms.
In practice
In a tech conference discussing the future of AI, this quote can highlight the importance of human-like cognitive functions.
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.
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.
In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.
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.
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.
In a sensibly organised society, if you improve productivity, there is room for everybody to benefit.
People will not die. Isn't this the creed of the new culture? People will be absorbed in streams of information. I know nothing about this. Computers will die. They're dying in their present form. They're just about dead as distinct units.
It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.
Five or ten years ago, when it was clear the Internet was becoming a mainstream phenomenon, it was equally clear that a lot of people were being left out and could be left behind
The Net interprets censorship as damage and routes around it.
Silicon Valley today is populated mostly by people who would consider themselves winners of the traditional race. This causes the exclusion of the voices that are vital to a round, robust society. It's beyond gentrification.
The electric age ... established a global network that has much the character of our central nervous system.
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