the ideas of making rerieval and storage structures off e.g. pretrained models are quite pleasant and need much more implementation
my biggest cognitive issues with relevance relates to learning and retaining it. pretrained models do retaining but learning isn’t strongly engaged. still, humans can learn pretty effectively from clear examples. it seems nice to consider relevance exploration to me. something that looks through to connect. connecting information together is so important! extreme conceptual censorship is deadly imo are two things relevant? can we associate them if they are?
