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rm2040

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A few years back I spent some time reading and following the equations in Friston's papers, maybe understanding like 90% of it. you have to know dynamical systems, differential equations, multivariate matrix stuff, etc. Basically stuff physicists are good at. Seemed that the theory wasn't detailed enough to inspire the next deep NN revoluation, basically the form of the generative model Friston used is very general. My impression was that the coded matlab examples reqired you specify known quantities, like velocity or position. But that requires a human to input, not like a NN where you can just point it at some data and it learns. Would love to be shown otherwise...