You say one model performs great on  real life dataset A but poorly on another 
such B, while another model performs great on B but poorly on A. Take a look at 
what your meaning of Great and Poorly mean. There is indeed a certain 
model/brain that is the Better Great one we seek/want over all others that is 
great on both the datasets we use (A and B) more than others; less trade off. 
There may be a few that are as equally Good/Great, but these are the Better 
ones over the Worse ones. The Good ones we want that perform great on many 
datsets overall are the ones that make us Survive longer. Survive=Good. Our own 
brains are an example of a model/s that are fairly the best 'organs' over ex. a 
monkey's or rock's.

We all know this already, the AGI we want will be good across many  datasets. 
We just went through this above lol. AI/predictableness exists, the way physics 
works is the free lunch; we follow laws.
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Artificial General Intelligence List: AGI
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