This ones way out in left field guys - AI evolution

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SUMMARY

The discussion centers on the concept of enhancing artificial intelligence capabilities by drawing parallels with biological processes, specifically the functions of a cell's nucleus during mitosis. The idea proposes creating a self-contained application that mimics the nucleus's ability to interpret nucleotide codes (ATGC) to develop distinct "personalities" in AI. This approach aligns with existing methodologies in genetic algorithms, which are established evolutionary algorithms used to optimize solutions through mechanisms inspired by natural selection.

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Tjl
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Ok here goes, I was thinking about how to improve artificial intelligence capabilities, and I was in biology and for some reason we were taking about neuron and cell capabilities to replicate DNA in mitosis. And then it hit me, if you could create a small self-contained application that would have to knowledge equivalent to a cells nucleus. And as a such of a nucleus, and the required enzymes it would be able to interpret the nucleotide codes ATGC so that you could interpret different "personalities". And you would be able to enter a sequence of codes that would equal that of a humans. Of course you would have to have extensive knowledge of a cell nucleus and you would need to create a language specialized for this, but do you think it would be possible?
 
Computer science news on Phys.org
I think you're essentially describing "genetic algorithms," which are a large and already well-explored class of evolutionary algorithms.

Look on google, you'll find quite a few links...

- Warren
 

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