It is a marketing term. That's it. Trying to exhaustively define what AGI is or could be is like trying to explain what a Happy Meal is. At it's core, the Happy Meal was not invented to revolutionize food eating. It puts an attractive label on some mediocre food, a title that exists for the purpose of advertisement.

There is no point collecting definitions for AGI, it was not conceived as a description for something novel or provably existent. It is "Happy Meal marketing" but aimed for adults.

That’s historically inaccurate

My masters thesis advisor Ben Goertzel popularized the term and has been hosting the AGI conference since 2008:

https://agi-conference.org/

https://goertzel.org/agiri06/%5B1%5D%20Introduction_Nov15_PW...

I had lunch with Yoshua Bengio at AGI 2014 and it was most of the conversation that day

The name AGI (i.e. generalist AI) was originally intended to contrast with narrow AI which is only capable of one, or a few, specific narrow skills. A narrow AI might be able to play chess, or distinguish 20 breeds of dog, but wouldn't be able to play tic tac toe because it wasn't built for that. AGI would be able to learn to do anything, within reason.

The term AGI is obviously used very loosely with little agreement to it's precise definition, but I think a lot of people take it to mean not only generality, but specifically human-level generality, and human-level ability to learn from experience and solve problems.

A large part of the problem with AGI being poorly defined is that intelligence itself is poorly defined. Even if we choose to define AGI as meaning human-level intelligence, what does THAT mean? I think there is a simple reductionist definition of intelligence (as the word is used to refer to human/animal intelligence), but ultimately the meaning of words are derived from their usage, and the word "intelligence" is used in 100 different ways ...

Generalization is a formal concept in machine learning and is measurable.