My guess is that this isn't necessary. As long as they can change their
internal maps and structures in the data -- that should be close enough to
creating from-scratch programs to solve AI/AGI problems. But, one computer's
data is another computer's program.


Let's just say you are correct, wouldn't all the algorithms that work on the
data have to be programmed by programmers?  If the data could also be
algorithms and some kind of program was  used to interpret that data (make
the data work), wouldn't that be relatively slow?  Are there very large
scale databases included in the current languages that could manipulate all
that data?  If you believe that data can be stored in add-on SQL databases,
is the data close enough to where it is actually being processed?  Can a
project as large as AGI depend on the SQL engine to have the right set of
variables, speed and facilities available when it needs it?

 

I could go on but it might get boring to some.

 

Is it better to make a project using LAMP (Linux, Apache, MySQL, PHP) or one
integrated system that does it all?  What are the pluses and minuses of
having your product depend on multiple companies?  I am only using LAMP as
an example.  I think working with multiple vendors using C++, Java or
whatever has a group of the same kind of problems.

 

David

 

PS I have used LAMP on my commercial Linux server for about 12 years but I
won't bore you with all the problems I have had.

 

From: Dimitry Volfson [mailto:[email protected]] 
Sent: January-10-13 1:49 PM
To: AGI
Subject: Re: [agi] Why Logic & Maths Have Sweet FA to do with Real world
reasoning

 

A couple comments below:

On 1/10/2013 11:54 AM, David Clark wrote:

This response is for Aaron and John.

 

Both, however, are mathematical. You are shadow boxing.

 

Again, conclusions with no supporting arguments.

 

Although I don't put much value in "beliefs" or "intuition", I am guilty of
a few as well.

 

1.      I believe that AGI can be created using software we have today, on
computers that exist today.  AGI has not been created yet so I have no proof
that this is true, even though I am acting as if it is.

Probably true. Some problems can be solved with much older computers just
because we have many more training examples now than ever before -- that can
be digested by a lot of processing and the digested info can be passed along
to lesser power computers. And, the computing power that Watson requires can
be had for just $200 per hour from Amazon's service, so anyone can rent a
supercomputer.



2.      I believe that AGI can't move forward until programs have the
unlimited ability to create other programs.  This hasn't happened yet and
therefore I have no proof that this capability will be more successful than
current approaches BUT at least it isn't one of the techniques that we know
doesn't work.

 


My guess is that this isn't necessary. As long as they can change their
internal maps and structures in the data -- that should be close enough to
creating from-scratch programs to solve AI/AGI problems. But, one computer's
data is another computer's program.

-- Dimitry Volfson


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