BEN> Obviously our goal is to engineer something that can effectively and
efficiently re-engineer itself, using its own inference. 

SERGIO REPLIES> Of course, but the inference you are using is in turn
engineered and therefore narrow AI. 

 

BEN> On DeSTIN.

SERGIO REPLIES> Thanks Ben. Yes, that's it. Just from what you say, it seems
to me that DeSTIN is also being engineered and also narrow AI. You will have
success doing that, because of the massive scale, but it is still not AGI.
If an AGI is a machine with a human level of intelligence, then it should be
able to do what engineers do and render narrow AI unnecessary. 

 

Sergio

 

From: Ben Goertzel [mailto:[email protected]] 
Sent: Wednesday, June 13, 2012 10:58 AM
To: AGI
Subject: Re: [agi] Representations and data structures

 

 

On Tue, Jun 12, 2012 at 11:59 AM, Sergio Pissanetzky
<[email protected]> wrote:

Ben, 

 

The difference is between you engineer it, using the inference in your
brain, or it engineers itself, using its own inference. 


That's a bogus dichotomy.  Obviously our goal is to engineer something that
can effectively and efficiently re-engineer itself, using its own inference.



 

Second comment. Well, maybe I misread something you posted. I remember you
were doing something with centers of gravity for Destin. Would you care to
explain what it was? And what is Destin?



DeSTIN is a deep learning architecture for perceptual data processing, which
was developed by Itamar Arel at the University of Tennessee, and is going to
be integrated into OpenCog to serve as its "perceptual cortex" ....  It has
nothing to do with centers of gravity, although it does use clustering as
one sub-algorithm, and these clusters have centroids -- perhaps that is what
you are thinking of.

ben 


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