I think I may understand where the miscommunication occurred.  When we talk
about scaling up an AGI program we are - of course - referrring to improving
on an AGI program that can work effectively with a very limited amount of
referential knowledge so that it would be able to handle a much greater
diversification of referential knowledge.  You might say that is what
scalability means.
Jim Bromer

On Wed, Aug 11, 2010 at 2:43 PM, Jim Bromer <jimbro...@gmail.com> wrote:

> 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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