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I disagree. Practically all breakthroughs in computing science were always 30 years old when they finally became common and useful parts of everyday society.
by wvenable 9y ago
I disagree. Practically all breakthroughs in computing science were always 30 years old when they finally became common and useful parts of everyday society. If the breakthrough of modern AI is just as old and we're just now seeing it implemented everywhere, that's not a sign of a crash.
- moxious 9y agoWhat do you see as the basic design of modern AI? The 30 year old discipline of symbolic AI doesn't have much to do with today's statistical AI.
- wvenable 9y agoI'm just taking the article on face value; from the very first line: "Just about every AI advance you’ve heard of depends on a breakthrough that’s three decades old."
- zardo 9y agoSymbolic AI is closer to 60 years old. Many of the fundamental concepts of the current wave are 30 years old.
- fjsolwmv 9y agoSymbolic AI and statistical AI are both over 50 years old. https://en.m.wikipedia.org/wiki/Perceptron https://en.m.wikipedia.org/wiki/Perceptron Statical AI was delayed in practice because it was far more expensive than symbolic AI.
- mannykannot 9y agoI think the issue is whether there is anything else in the pipeline - though it's hard to tell until it comes out of the pipe, so to speak. Back-propagation revived neural networks for a while, but wasn't there a period between then and now when they were thought to have almost exhausted their potential?