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C.F. the "AI effect": once you understand how the "magic" is done by very simple individual steps it stops being magical and you tend to think "that's not AI, i
by rhelz 4y ago
C.F. the "AI effect": once you understand how the "magic" is done by very simple individual steps it stops being magical and you tend to think "that's not AI, its just computation." After thinking this for a while, you conclude that AI hasn't gotten anywhere despite decades of effort.
Perhaps we are finally thinking that AI is getting somewhere precisely because we don't understand how neural nets really work yet. It keeps the magic alive long enough for us to realize that progress really is being made.
- sumtechguy 4y agoThe first thing I can think of that was like the 'AI' we have now is seeing the cubic spline method. It was shockingly good at particular points. But between those points it could be 'meh close enough' or wildly bad. AI we have now seems more along the lines of 'meh close enough'. Which for many things is actually good enough. For me I have always looked at the nets as a cubic spline smeared across dozens of nodes with a newtons method for searching out 'optimal'. Bad analogy I know. But that is the closest I can get to explaining 'how they work'.
- int_19h 4y agoThe other factor here is that we appear to be trying really hard to keep it "magic" wrt ourselves. At the very least, the notion that it might be "just computation" in the brain seems to be very discomforting to some people. Which might affect the way we look at technologies that try to model it, or at least use similar approaches - i.e. we're primed to treat them as more "magic" than they really are, or else to invent some reason why we think ourselves to be different.