Yeah.
Huh.
Yeah , could well be. So  so , I mean , that was  that was kind of , you know , it 's a good point , but the problem I had with it was that the implications out of this was that , uh , the kind of choices you make about learning machines were therefore irrelevant which is not at  n t as for as I know in  in tasks I 'm more familiar with @ @ is not at all true. What i what is  is true is that different learning machines have different properties , and you wanna know what those properties are. And someone else sort of implied that well we s you know , a all the study of learning machine we still don't know what those properties are. We don't know them perfectly , but we know that some kinds use more memory and  and some other kinds use more computation and some are  are hav have limited kind of discrimination , but are just easy to use , and others are
But doesn't their conclusion just sort of  you could have guessed that before they even started ? Because if you assume that these learning things get better and better and better ,