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1. lll-o-+(OP)[view] [source] 2024-05-11 20:53:19
Right. The arguments for the study of A.I. were that you will not discover the principles of flight by looking at a birds feather under an electron microscope.

It’s fascinating, but we aren’t going to understand intelligence this way. Emergent phenomenon are part of complexity theory, and we don’t have any maths for it. Our ignorance in this space is large.

When I was young, I remember a common refrain being “will a brain ever be able to understand itself?”. Perhaps not, but the drive towards understanding is still a worthy goal in my opinion. We need to make some breakthroughs in the study of complexity theory.

replies(2): >>hotiwu+p6 >>fifilu+mm
2. hotiwu+p6[view] [source] 2024-05-11 22:13:58
>>lll-o-+(OP)
> but we aren’t going to understand intelligence this way

The same argument holds for "AI" too. We don't understand a damn thing about neural networks.

There's more - we don't care to understand them as long as it's irrelevant to exploiting them.

replies(1): >>lll-o-+j9
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3. lll-o-+j9[view] [source] [discussion] 2024-05-11 22:58:21
>>hotiwu+p6
> The same argument holds for "AI" too. We don't understand a damn thing about neural networks.

Yes, which is why the current explosion in practical application isn’t very interesting.

> we don't care to understand them as long as it's irrelevant to exploiting them.

For some definition of “we”, I’m sure that’s true. We don’t need to understand things to make practical use of them. Giant Cathedrals were built without science and mathematics. Still, once we do have the science and mathematics, generally exponential advancement results.

4. fifilu+mm[view] [source] 2024-05-12 02:32:33
>>lll-o-+(OP)
I love that analogy with birds!

Yes we figured out how to build aircraft.

But it can not be compared to a bird flying. Neither in terms of efficiency or elegance.

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