To respond in kind ,you along with virtually all AGI-ers show an inability to
understand or define the problems of AGI - i.e. the end-problems that an AGI
must face, the problems of creativity vs rationality. You only actually deal
in standard, narrow AI problems.
If you don't understand what a new machine must do, all your technical
knowledge of machines to date may be irrelevant. And in your case, I can't
think of any concerns of yours like complexity that have anything to do with
AGI problems at all - nor have you ever tried to relate them to any actual AGI
problems.
So we're well-matched in inability - except that in creative matters, knowledge
of the problems-to-be-solved always takes priority over knowledge of entirely
irrelevant solutions.
From: Jim Bromer
Sent: Wednesday, August 11, 2010 7:43 PM
To: agi
Subject: Re: [agi] Scalable vs Diversifiable
I don't feel that a non-programmer can actually define what "true AGI criteria"
would be. The problem is not just oriented around a consumer definition of a
goal, because it involves a fundamental comprehension of the tools available to
achieve that goal. I appreciate your idea that AGI has to be diversifiable but
your inability to understand certain things that are said about computer
programming makes your proclamation look odd.
Jim Bromer
On Wed, Aug 11, 2010 at 2:26 PM, Mike Tintner <tint...@blueyonder.co.uk> wrote:
Isn't it time that people started adopting true AGI criteria?
The universal endlessly repeated criterion here that a system must be capable
of being "scaled up" is a narrow AI criterion.
The proper criterion is "diversifiable." If your system can say navigate a
DARPA car through a grid of city streets, it's AGI if it's diversifiable - or
rather can diversify itself - if it can then navigate its way through a forest,
or a strange maze - without being programmed anew. A system is AGI if it can
diversify from one kind of task/activity to another different kind - as humans
and animals do - without being additionally programmed . "Scale" is irrelevant
and deflects attention from the real problem.
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