> I think you slightly underestimate the difficulty of creating AGI ;)
I think that you grossly underestimate the magnitude of what is being proposed
because the tag "development environment" has been attached to it. :-)
Realistically, the "development environment" is both the AGI's DNA *and* it's
womb/environment/nutrients.
> I'm still curious about what advantages you see commercial database systems
> having for AI work?
An AGI is going to want to store, retrieve, and update an immense amount of
data and knowledge based upon a wide array of criteria. Many, many really
smart people have spent many, many man-years designing heavy-duty,
fault-tolerant systems that do exactly that (with many other capabilities
besides -- you know, little things like triggers, back-up, set-based
operations, etc., etc.). What possible advantage do you see in not leveraging
all that capability?
Note that I'm not talking about a stupid architecture where you hammer yourself
flat with nine million, small database calls. I block move chunks of data in
and out and would move anything that uses more than a certain amount of data
into the database itself and operate on it there.
----- Original Message -----
From: Russell Wallace
To: agi@v2.listbox.com
Sent: Tuesday, February 20, 2007 3:31 PM
Subject: **SPAM** Re: [agi] Development Environments for AI (a few
non-religious comments!)
On 2/20/07, Mark Waser <[EMAIL PROTECTED]> wrote:
Realistically, you'll have an AGI before the environment is completed .
. . .
I think you slightly underestimate the difficulty of creating AGI ;)
Personally, I'd start with a commercial extensible development
environment and a commercial enterprise class datastore and start designing
and developing from there. The one thing that I always hammer on Novamente
for is their decision to build their datastore from scratch.
I'm still curious about what advantages you see commercial database systems
having for AI work?
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