Because I don't think that the model learned the literal memorization of chess moves. It must've at least compressed said information in some way way. And since

Because I don't think that the model learned the literal memorization of chess moves. It must've at least compressed said information in some way way. And since the model is not biased to play chess on its structure nor sampling policy, I think it's fair to consider it an emergent ability. Chess moves are a tiny/diminute part of all text learned by the model. This memorization argument is very similar to the "Stable Diffusion just takes bits of the images in the original dataset and parches them together".