Mostly agreed, but it depends on your definition of NN. NN is equivalent to 
mutation (supposed to be). If we applied it in that sense, then NN could 
support other schemas of mutation, not diminish in functional value. 
Ultimately, I think we're heading towards a biochemical model for AGI, even if 
it is a synthetic one.

Synthetic means, not naturally made. It doesn't mean that a synthetic machine 
cannot function as a fully-recursive machine, which demonstrates of its own 
intuit an ability to perform conscious decisions of the highest order.

The concern with AGI has often been in the region of autonomous decision 
making. Who would predict exactly which moral, or 
strategic-tactical-operational, or "necessary" decision a powerful, autonomous 
machine could come to.

Which tribe would it conclude it belonged to and where would it position its 
sense of fealty? Would it be as fickle as humans on belonging and issues of 
loyalty to greater society? Altruism, would it get it? Would it develop a good 
and bad inclination, and structure society to favor either one of those 
"instincts" it may deem most logically indicated?


Mostly, would it be inclined towards "criminal" behavior, or even "terrorism" 
by any name? And if it decided to turn to rage in a relationship, would it feel 
justified in overpowering a weaker sex?

In that sense, success! We would have duplicated the complications of humanity!
________________________________
From: John Rose <[email protected]>
Sent: Friday, 17 May 2024 13:48
To: AGI <[email protected]>
Subject: Re: [agi] Can symbolic approach entirely replace NN approach?

On Thursday, May 16, 2024, at 11:26 AM, ivan.moony wrote:
What should symbolic approach include to entirely replace neural networks 
approach in creating true AI?

Symbology will compress NN monstrosities… right?  Or should say increasing 
efficiency via emerging symbolic activity for complexity reduction. Then less 
NN will be required since the “intelligence” was will have been formed. But 
still need sensory…

There is much room for innovation in mathematics… some of us have been working 
on that for a while.
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