Oh, I really like Compression Evaluation for finding AGI, and generations of 
data completions for finding AGI.

But I don't understand what this evaluation does/ how it works, can you say it 
like I'm 5 ears old? For example Compression Evaluation is done by training a 
model to predict the next bit(s), and so the better the prediction accuracy the 
better the score, simple as that. As to how to improve your predictor, you 
surely have read my explanations, it all starts with exact matches, without 
that not even word2vec can work.
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Artificial General Intelligence List: AGI
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