Why do AI models often collapse when trained on recursively generated data?
A) The models overfit to the specific patterns in the recursively generated data, leading to poor generalization.
B) The data is too diverse for the models to learn effectively.
C) The models require more computational resources than available.
D) The data lacks sufficient volume for training the models