that's a great idea Vlad, & there are other forms of statistical sampling 
available.

the closer we get to running accelerated evolution to human intelligence the 
better I beleive.

> ----- Original Message -----
> From: "Vladimir Nesov" <[EMAIL PROTECTED]>
> To: agi@v2.listbox.com
> Subject: Re: [agi] interesting Google Tech Talk about Neural Nets
> Date: Mon, 3 Mar 2008 17:13:04 +0300
> 
> 
> On Mon, Mar 3, 2008 at 4:29 PM, Kingma, D.P. <[EMAIL PROTECTED]> wrote:
> >
> > There's a nice flash demonstration about digit generation/classification
> >  http://www.cs.toronto.edu/~hinton/adi/index.htm
> >
> > Did anyone on this list do experiments with these kind of generative models?
> > I'd can't find much research into this subject outside from the Univ. of
> > Tortonto's CS group, so the information reaching me might be positivily
> > biased. I don't have any affiliation with this group if anyone might ask.
> >
> 
> At this point I see this kind of system as a sufficient substrate for
> AGI (modulo layers being abandoned, and a 'Perti dish' of feature
> detectors listening to recent past states of their neighbors used
> instead). I only converged on this view recently, so I'm just starting
> to experiment with it.
> 
> --
> Vladimir Nesov
> [EMAIL PROTECTED]
> 
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> agi
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