Generative AI Models Exhibit Catastrophic Collapse When Trained on Recursively Generated Data
Indiscriminate use of model-generated content in training causes irreversible defects in resulting generative AI models, leading to the disappearance of tails of the original content distribution, a phenomenon referred to as 'model collapse'.