local linear maps across all pairs of items in a mini batch of C 410 training data each pod is a histogram for a single untrained na s bench 201 architecture so remember the expressivity is important because we want to train that function and therefore it's important that every parameter does something and if it's degenerate we can't train it well and that's I find that's the reasoning they they sort of say this but not I might make I might make the wrong sense out of it here but it seems to me like that's what's actually going on so you can see