Recently I was thinking wait, discovery, which is what AGI is all about, isn't 
just generating an answer or just generating a translation, but also 
recognition, because if you give it images of cancer and it recognizes cancer 
when you don't, it does a better job than you, which is what we want too.

I'm trying to think, can recognizing cancer with greater accuracy require 
making answers and translations though. Because a typo word can still match the 
stored word ex. 'elihnt' = 'elephant', but to recognize it you may need to do 
'elihnt' = 'elephant' = 'animal', or 'elihnt' = 'elephant' = 'elephant land' = 
'mammal land'.

"Discovery" is in essence the next state/generation of our homeworld and death 
to the old version. A translation or extension is what leads to a *new* next 
adding to itself. Recognization of something previously not recognizable, is, 
in essence, a new translation or extension as well. Translation, recognition, 
and entailment are all the same thing, you find the similar node in memory and 
that can be it exactly, or a typo, or a similar word, or its parent node it 
(ex. dog) helps create (dog ate). By using more data / patterns, it is able to 
more accurately determine what nodes get how much attention. The brain is 
always trying to collect/ emerge and then merge more data so it can emerge its 
future. To do that, its node attentions decide what it will merge/emerge. And 
that, takes a node and emerges by either match, typo, translation, or parents.
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Artificial General Intelligence List: AGI
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