And it's sad you don't use evaluation, because when I try something new or 
tweak the code parameters, my eval tells me right away if it improves 
prediction. And while it is possible to find dead ends like in gradient descent 
(ex. BWT predicts data but is the wrong, way, totally...) - at least it [helps] 
tell you if you implemented something good or correctly. I'm dying over here 
you don't use it, all pros use it. You on my naughty list, it's an essential 
tool and is proven easily, bet you 5,000$.
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Artificial General Intelligence List: AGI
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