Training data is the corpus a model learns from, and the single greatest determinant of what it can do, what it gets wrong, and what biases it carries. Scale ma
It is the corpus a model learns from and the single greatest determinant of what it can do, what it gets wrong, and what biases it carries. Scale matters, frontier models train on trillions of tokens, but curation increasingly matters more.
Because copyright litigation, licensing deals, consent regimes, and the rise of synthetic data all revolve around who may learn from what. Training data is the strategic and legal flashpoint of the foundation-model era.