open domain you know there's no way it can have the information for you know what is the capital of Paris until it's seen that training example and there's very little generalization there you just need so much data to approach this from a naive supervised learning approach whereas we have bigger models that have more capacity you know in the limit they very quickly began to do non trivially on these data sets and then they kind of fine tune in and learn how to better extract the information that's somehow contained within the weights to