It’s suicidal –in the real world. You won’t be able to adapt to new situations  
(“sorry Chinese is off tonight”).

You’re thinking in terms of specific goals.AGI is about general goals -  all 
living creatures are driven in the first instance by general drives and general 
goals- not specific ones.

Narrow AI is always specific – and your & every other AGI-er’s urges are always 
to be specific – whereas AGI is the opposite.

From: Jim Bromer 
Sent: Saturday, February 09, 2013 10:36 PM
To: AGI 
Subject: Re: [agi] Could Algorithm Generators be a Feasible and Effective AGI 
Method?

It is not suicidal to set goals and a remark like that shows that you are on 
the wrong track.  Just because the goals that we are most interested in may be 
elusive that does not mean that we cannot use goal strategies to help us learn 
what is achievable and acceptable.  The irony of course is that once we 
discover more realizable goals we usually find that our previous goals were not 
only not realizable but they were really not that desirable.

Pursuing unclear goals are not the path you choose.  Evidently, you have to 
decide whether that is a path you would like to take.


 
On Fri, Feb 8, 2013 at 10:35 AM, Mike Tintner <[email protected]> wrote:

  Jim: So if a goal is clearly definable (for an AGi program)...

  No goals are clearly definable in AGI – at the program level as opposed to in 
particular situations. What are the goals of real world activities – like 
conversation/ reading [science/lit..] books..? You can set goals in particular 
situations ... “I want Chinese tonight”  But in general, it would be suicidal 
and isn’t possible.  AGI is about creative machines dealing with a creative 
world – in which both the machine and the world keep changing, and there is no 
way of predicting what food (or other goal instantiations) will be available, 
or what of the vast untried number of cuisines might be worth sampling, or what 
condition/state your body will be in and therefore what foods it will be 
attracted to .  The goals of an AGI have to be general, vague and capable of 
continuous refinement - and new combinations with other goals.
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