information through the neighborhood and this statically learned aggregation of information throughout the neighborhood which is a con which is sort of a convolution right um because in the convolution you've already seen here this is a statically learned map of how to aggregate information from the neighborhood of a pixel so i think even though there are slight differences um they for example say this these are the same across attention heads and so on um however i suspect that you you can think of these learned positional embeddings