Wrote something sweet today so will share it:

The brain loves to collect lots of data (sight-see) because more data allows it 
to solve future problems better.

Dogs love new toys (new data) because it let's them explore new problems. New 
data is more data.

Talking about exploring, exploiting is when you work all day in some domain you 
love (ex. AI) because other new data is not actually so useful. We evolve this 
filter/ our goals, we start off focusing on food and then move attention over 
to cash then to jobs if they have similar contexts. The brain makes 
"checkpoints" or filters where to collect new data from in the manifold space. 
Then explores there. Blender and PPLM both do this (they don't evolve it though)

As for your questions, browsing Instagram with color turned off feels worse 
because of missing data. Or perhaps you want to look at food directly and don't 
need data, but the same problem remains that you are not seeing what you await/ 
forecast to see because you lack sufficient data. The brain always wants to see 
a future.

If you play a game, the visuals may make it more relatable to understand the 
knowledge.

And when treats are paired with other domains, you can make the agent "get 
into" that domain.
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Artificial General Intelligence List: AGI
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