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Let me guess. You think so, because we don't know what the general intelligence is, but the current approaches of ML are surely can't be extended to produce it.
by red75prime 9y ago
Let me guess. You think so, because we don't know what the general intelligence is, but the current approaches of ML are surely can't be extended to produce it.
- dnautics 9y agoWe have some simple models of not even general intelligence that ml can't do. To steal from hofstadter:. Let's say I have a function that maps two strings. I'll give you an example function. "abc" -> "abd". What does "efg" map to? And how do you train current generation of ml to solve those problems in one shot like you just did? I don't want to knock machine learning. There's a very huge set of very interesting problems that it does solve that were basically intractable till now and we haven't even scratched the surface of applications for. But the existing techniques have understandable restrictions to the scope of soluble problem. I would also not be surprised if the best models included current ml strategies in some way, for example, in supervisor threads or initial processing of complicated input data into semantic-ish vector valued forms.