The ways to measure intelligence or check if something is AGI is:
1) Evaluating AI's prediction score, such as Perplexity, or Lossless 
Compression. Thoughts/daydreams is what allows it to come up with a plan, if it 
did not predict good then it would not be using memories and therefore would 
make random decisions. Humans can score it, but much harder and longer.

2) Games and tasks. Once your AI is good at predicting video in evaluation1 
above, it can be told a goal. If it can get more points, or achieve some 
mission even against human players, or survive, or ex. get far enough in a 
limited amount of time allowed, and in general is a rich game with a lot of 
complexity and length of time needed to win, then this means it is predicting 
good and able adapt goals and learn around that domain, allowing it to solve 
problems and actually see if its dreams come true. If an AI only thinks up a 
solution, often it can be very fantasy, so if you try it out in a world and try 
to obtain even simple tasks, it can be a revelation to see and learn your way 
to truly recognizing the task complete. Humans can score it, but much harder 
and longer.

3) Test how long human testers play with or talk to the said AIs after the 
above evaluation2 and 3 are founded. The one that has the most time, is the 
more exciting one, maybe. Humans can score the score counted ex. they fell 
asleep so not such high score after all, but much harder and longer.

4) Although too long to measure, the longer something lives the more 
intelligent it is. This can be a animal, or a country, or a galaxy. Rocks do 
great but can't evolve or adapt. Also measuring patterns is useful too, notice 
everything in your house is square shaped, lined up, grouped together, and even 
in time. It allows you to predict better if you know all homes on the road have 
the same layout. Humans can score it, but much harder and longer.
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Artificial General Intelligence List: AGI
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