Today machines can recognize, say, a dog jumping. But what if someone is holding a piece of meat above the dog. We recognize that that’s a slightly different concept, a dog trick. And the piece of meat isn’t just a piece of meat, it’s a treat—a different linguistic idea. Can we get computers to understand these concepts?
Deep learning algorithms are very good at one thing today: learning input and mapping it to an output. X to Y. Learning concepts is going to be hard.
One thing Baidu did several months ago was input an image — and the output was a caption. We showed that you can learn these input-output mappings. There’s a lot of room for improvement but it’s a promising approach for getting computers to understand these high level concepts.
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Do you see AI as a potential threat?
I’m optimistic about the potential of AI to make lives better for hundreds of millions of people. I wouldn’t work on it if I didn’t fundamentally believe that to be true. 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.
I think the fears about “evil killer robots” are overblown. There’s a big difference between intelligence and sentience. Our software is becoming more intelligent, but that does not imply it is about to become sentient.
The biggest problem that technology has posed for centuries is the challenge to labor. For example, there are 3.5 million truck drivers in the US, whose jobs may be affected if we ever manage to develop self-driving cars. I think we need government and business leaders to have a serious conversation about that, and think the hype about “evil killer robots” is an unnecessary distraction.
- More Here
Deep learning algorithms are very good at one thing today: learning input and mapping it to an output. X to Y. Learning concepts is going to be hard.
One thing Baidu did several months ago was input an image — and the output was a caption. We showed that you can learn these input-output mappings. There’s a lot of room for improvement but it’s a promising approach for getting computers to understand these high level concepts.
[---]
Do you see AI as a potential threat?
I’m optimistic about the potential of AI to make lives better for hundreds of millions of people. I wouldn’t work on it if I didn’t fundamentally believe that to be true. 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.
I think the fears about “evil killer robots” are overblown. There’s a big difference between intelligence and sentience. Our software is becoming more intelligent, but that does not imply it is about to become sentient.
The biggest problem that technology has posed for centuries is the challenge to labor. For example, there are 3.5 million truck drivers in the US, whose jobs may be affected if we ever manage to develop self-driving cars. I think we need government and business leaders to have a serious conversation about that, and think the hype about “evil killer robots” is an unnecessary distraction.
- More Here
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