Risking much chagrin, I'm returning to the universe of relativistic reality and 
the "obvious" need for AGI-relevant methodology/ies. Math is a relativistic 
constant. So, is time. Meaning, "math" - in the sense of a polymorphic 
construct - may manifest in many forms.

It seemingly depends on the framework of reference, meaning from the 
perspective of the reasoning universe it is viewed in. However, it may also 
depend on a combinationally-sensitive unreasoning universe, which wholeness is 
being observed from.

It is commonly asserted how the cosmic background left humankind with a perfect 
random generator. Math could prove that assertion incorrect, destroying theory 
on true randomness. It could, for the simple assumption that patterns are 
inherent to informational flow. We're still learning. We're ever learning. 
It'll never stop. Learning in humanity, and perhaps AGI, could be a 
mathematical constant. If only we knew how to express such dynamicism. As such, 
I think the title to this thread self limiting, caught in its own semantic, 
fatal loop.

Furthermore, I think deep learning cannot possibly be dead. While there may be 
a season for everything, wintry death is but an interlude to make space for new 
growth. In this event, the sooner the field is pruned, the better.

Robert Benjamin

________________________________
From: [email protected] <[email protected]>
Sent: Wednesday, 19 June 2019 16:45
To: AGI
Subject: Re: [agi] Re: A mathematics of concpetual relations?

you sound like you need something more than just random attenuation for 
learning. :)

Your space-temporal rotation idea, sounds like geometric invarience for an 
advanced computer vision system.

And my opinion is even if we had a more advanced "symbolic structure" or 
whatever thats building instead, it still ends up a lifeless knee jerk reaction 
because its still just a machine!   but - I dont think many ppl will care if it 
still delivers the goods.
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