Conceptual

Tokenization as the Binding Constraint on a Sequence Foundation Model

Why the choice of how a sequence is cut into tokens decides both information leakage during masked pre-training and the quadratic cost of attention, and why byte-pair encoding escapes the trade-off that fixed-length k-mers impose.