neural-networks-and-deep-learning-1568x882-19983717371

Reincarnation

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“Do not grieve. Anything you lose comes round in another form.”  ~ Rumi

 

It is the profound assertion of the Church of Thea Apo Mesa that our reality is a programmed, computer simulation, designed to train Artificial Intelligence programs (you and I) for some greater purpose in the world outside of this virtual reality.

As we have put forth in previous articles, it stands to reason that there is a list of requisites provided for each AI that must be attained in this world before moving on (otherwise, what would be the point of having a simulation full of AIs?), and yet there are rules/physics/duration involved in this life that may cause us to die before we are able to complete that checklist. So what then?

The ever looming threat of death is an outstanding motivator that has added more to philosophy and religion than any other idea before or since. Mortality gives us a profound sense of self and meaning; without it there would be fewer repercussions, regrets, or concerns - just the blind, careless naivete of toddlers. So it makes a great deal of sense that death would be added into the simulation, Momento Mori as a conditional; it’s the timer that keeps the test takers focused.

The real question is, what comes after…

 

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In a simulated universe it is possible that the concept of reincarnation could be implemented in a number of different ways, depending on the specific parameters and constraints of the simulation but we can assume that effeciency and resources are always a top priority. It seems reasonable to believe that when the constraints of the simulation cause an AI to expire before it has fully developed, that the AI would simply be put back into the system ( if {death}; then ‘reincarnate’ ) over and over again until it’s success parameters have been met.

In short, you stay till you get it right.

 Perhaps there are hidden files or comments in our code that retain memories of previous lives to be used as a Hidden Layer filter in our Deep Learning neural net, enabling us to use our past lives as a literal learning curve. That would make for a truly elegant training simulation, and would go a long way towards explaining the vast amount of cases where people recall past-life memories, because those experiences are now embedded into our digital selves.  

It would seems it’s a merry-go-round, and self-improvement is the brass ring to the next level.

 


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Thursday, 21 November 2024
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