On Sunday, February 18, 2018 at 10:00:24 PM UTC-6, Brent wrote:
>
>
>
> On 2/18/2018 6:26 PM, Lawrence Crowell wrote:
>
> Computers such as AlphaGo have complex algorithms for taking the rules of 
> a game like chess and running through long Markov chains of game events to 
> increase their data base for playing the game. There is not really anything 
> about "knowing something" going on here. There is a lot of hype over AI 
> these days, but I suspect a lot of this is meant to beguile people. I do 
> suspect in time we will interact with AI as if it were intelligent and 
> conscious. The really big changer though I think will be the neural-cyber 
> interlink that will put brains as the primary internet nodes.
>
>
> Why would you suppose that when electronics have a signal speed ten 
> million times faster than neurons?  Presently neurons have an advantage in 
> connection density and power dissipation; but I see no reason they can hold 
> that advantage.
>
> Brent
>

I think it may come down to computers that obey the Church-Turing thesis, 
which is finite and bounded. Hofstadter's book *Godel Escher Bach* has a 
chapter Bloop, Floop, Gloop where the Bloop means bounded loop or a halting 
program on a Turing machine. Biology however is not Bloop, but is rather a 
web of processors that are more Floop, or free loop. The busy beaver 
algorithm is such a case, which grows in complexity with each step. The 
computation of many fractals is this as well, where the Mandelbrot set with 
each iteration on a certain scale needs refinement to another floating 
point precision and thus grows in huge complexity. These of course in 
practice halting because the programmer puts in by hand a stop. These are 
recursively enumerable, and their complement in a set theoretic sense are 
Godel loops or Gloop. For machines to have properties at least parallel to 
conscious behavior we really have to be running in at least Floop and maybe 
into Gloop.

LC

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