None of us today know how to get computers to learn with the speed and flexibility of a child.
Interpretation
Humans have yet to develop computers that can learn as quickly and adaptively as children do.
The quote highlights the current limitations in artificial intelligence and machine learning, emphasizing that while we have made significant advances in technology, we still cannot replicate the innate learning abilities of a child. This underscores the complexity of human cognition and the challenges faced in creating machines that can learn and adapt with the same efficiency and flexibility as humans do.
In practice
In a discussion about the future of AI technology during a conference, one might say, 'As Andrew Ng pointed out, none of us today know how to get computers to learn with the speed and flexibility of a child.'
AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades.
It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.
Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.
Imagine if we can just talk to our computers and have it understand, 'Please schedule a meeting with Bob for next week.' Or if each child could have a personalized tutor. Or if self-driving cars could save all of us hours of driving.
A single neuron in the brain is an incredibly complex machine that even today we don't understand. A single 'neuron' in a neural network is an incredibly simple mathematical function that captures a minuscule fraction of the complexity of a biological neuron.
I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.
Technology steers what 2 billion people are thinking and believing every day. It's possibly the largest source of influence over 2 billion people's thoughts that has ever been created. Religions and governments don't have that much influence over people's daily thoughts.
... the Kindle is a "roach motel" device: its license terms and DRM ensure that books can check in, but they can't check out.
Everything is fraught with danger. I love technology and I love science. It's just always all in the way you use it. So there's no - you can't really blame anything on the technology. It's just the way people use it, and it always has been.
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.
[The] dynamics of computational artifacts extend beyond the interface narrowly defined, to relations of people with each other and to the place of computing in their ongoing activities. System design, it follows, must include not only the design of innovative technologies, but their artful integration with the rest of the social and material world.
What turns me on about the digital age, what excited me personally, is that you have closed the gap between dreaming and doing. You see, it used to be that if you wanted to make a record of a song, you needed a studio and a producer. Now, you need a laptop.
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