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I think this is a good analysis of what Deep Learning is particularly good for and its limitations, but was somewhat annoyed at the lack of any citations of peo
by andreyk 11y ago
I think this is a good analysis of what Deep Learning is particularly good for and its limitations, but was somewhat annoyed at the lack of any citations of people actually overhyping it. The most there was is this:
"This is all well justified, and I have no intention to belittle the current and future impact of deep learning; however, the optimism about the just what these models can achieve in terms of intelligence has been worryingly reminiscent of the 1960s."
From what I've read and seen, the leading people in the field (Yann LeCun, Hinton, etc.) seem to be very aware that the current methods are particularly good for problems dealing with perception but not necessarily reasoning. Likewise, I have not seen many popular news sources such as NYT make any crazy claims about the potential of the technology. I hope, at least, that the people who work in AI are too aware of the hype cycles of the past to get caught up in one again, and so there will not be a repeat of the 60's.
- snoman 11y ago> I hope, at least, that the people who work in AI are too aware of the hype cycles of the past to get caught up in one again, and so there will not be a repeat of the 60's. Given that AI Winter is a thing, and that it was a reaction to the across-the-board failure of AI to do anything that people expected of it (expectations driven by hype), then I think you'd be right.