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
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.
Interpretation
The quote discusses the arbitrary nature of current artificial intelligence technologies and encourages rethinking and innovation.
Geoffrey Hinton emphasizes that the way artificial neural networks are understood today is just one interpretation of the technology. He highlights the importance of creativity and innovation, suggesting that since current technologies are constructed based on our own design, there's no limit to how we can redefine and improve them in the future.
In practice
In a tech conference, to inspire developers to think creatively about future AI technologies.
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.
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.
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.
In a sensibly organised society, if you improve productivity, there is room for everybody to benefit.
The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.
Any program is only as good as it is useful.
If a major source of the nation's news is personalizing user experiences, people with different points of view will end up in echo chambers of their own design. Facebook didn't create that problem, but it shouldn't aggravate it.
I believe those that produce the least emissions in autos will also be those who have the greatest success worldwide.
The fact that a task cannot be computerized does not imply that computerization has no effect on that task. On the contrary, tasks that cannot be substituted by computerization are generally complemented by it. This point is as fundamental as it is overlooked.
I like technology, but 'Black Mirror' is more what the consequences are, and it doesn't tend to be about technology itself: it tends to be how we use or misuse it. We've not really thought through the consequences of it.
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