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It is trivially proved that deep learning can represent any computable function so the proof you're asking for is not going to be possible. However, it's also c

It is trivially proved that deep learning can represent any computable function so the proof you're asking for is not going to be possible. However, it's also completely obvious to anyone familiar with deep learning as it exists today that it is not moving in the direction of AGI and none of the research is ever going to lead to AGI short of some kind of miracle. The burden of proof here would be on those who think this is possible to give some plausible mechanism (or research agenda) for getting there.

jayd16 7y ago
I'm no expert but it doesn't seem very far fetched to me. If we can use deep learning to create a digital assistant, computer vision, and navigation/traversal then we're not very far off from something surpassing a dog's level of intelligence even with what exists today. If that's possible then it seems plausible it could continue onward. Not saying its obviously possible but it doesn't seem obviously impossible and its a mistake to assume as such.
- inimino 7y ago
  Those systems seem close to a dog's intelligence only because you haven't worked on them and don't know how they work. Nothing about this field is obvious. If you are not an expert, just look at the history. People thought at the dawn of this field over 60 years ago (yes, really) that machine intelligence was right around the corner. The optimists have been wrong for more than six decades and they are wrong now. If you are an expert you can look at speech recognition, computer vision, and all these things you mention, and compare them to the intelligence and awareness of a dog, and realize that they are not close, not in the ballpark, not in the same league, not even the same sport. The ANN/DL research is not moving in the direction of AGI and nobody in industry and almost nobody in academia is bothered by that because ML is getting results and careers are being made, while chasing AGI means spending your career on something that almost certainly will not show any results. If anything, the current success of deep learning means we are further away from AGI than we would have been (which is probably a good thing) because there are fewer people working on it.

jayd16 7y ago

I'm no expert but it doesn't seem very far fetched to me. If we can use deep learning to create a digital assistant, computer vision, and navigation/traversal then we're not very far off from something surpassing a dog's level of intelligence even with what exists today. If that's possible then it seems plausible it could continue onward. Not saying its obviously possible but it doesn't seem obviously impossible and its a mistake to assume as such.

inimino 7y ago
Those systems seem close to a dog's intelligence only because you haven't worked on them and don't know how they work. Nothing about this field is obvious. If you are not an expert, just look at the history. People thought at the dawn of this field over 60 years ago (yes, really) that machine intelligence was right around the corner. The optimists have been wrong for more than six decades and they are wrong now. If you are an expert you can look at speech recognition, computer vision, and all these things you mention, and compare them to the intelligence and awareness of a dog, and realize that they are not close, not in the ballpark, not in the same league, not even the same sport. The ANN/DL research is not moving in the direction of AGI and nobody in industry and almost nobody in academia is bothered by that because ML is getting results and careers are being made, while chasing AGI means spending your career on something that almost certainly will not show any results. If anything, the current success of deep learning means we are further away from AGI than we would have been (which is probably a good thing) because there are fewer people working on it.