sure. But what I’m saying is that you need some mathematical machinery to manage all of these interactions between pictures, sentences, sounds, etc. There’s no shortage of narrow AIs which make use of one aspect of what you’ve said, e.g. face recognition “AIs”, text-matching AIs (google), etc. But none of them can pass the Turing test.
Furthermore, I think that there are abstract concepts (like “bias”) which are not well represented by anything we have at the moment. I think that we need to forge new abstract representations, and that those representations will be symbolic, they will look more like FOPL than like a neural net or a bitmap.
@latanius:
sure. But what I’m saying is that you need some mathematical machinery to manage all of these interactions between pictures, sentences, sounds, etc. There’s no shortage of narrow AIs which make use of one aspect of what you’ve said, e.g. face recognition “AIs”, text-matching AIs (google), etc. But none of them can pass the Turing test.
Furthermore, I think that there are abstract concepts (like “bias”) which are not well represented by anything we have at the moment. I think that we need to forge new abstract representations, and that those representations will be symbolic, they will look more like FOPL than like a neural net or a bitmap.