More ambiguous distributions require more capacity, larger embeddings, more training steps, and amplify sampling noise

More ambiguous distributions require more capacity to be stored, larger embeddings to be represented, more steps to be fitted, and amplify token-sampling noise.

http://arxiv.org/abs/2608.15448v1