To put in a more abstract form, some useful data that can be sensed from nature
is effectively compressed and therefore would have to be decompressed
(expanded) in order to extract it so that it could then be compressed in
another form.
AI is not just an entry in a compressor contest, it is about understanding (of
some sort). So in AI it makes sense that you would expand some possible ways
data might be interrelated and then compress it in another way to efficiently
use that object of knowledge in recognition or evaluation or to explore how the
data events and objects of knowledge might be interrelated.
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Artificial General Intelligence List: AGI
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