What happens when all training data is AI-generated?

The question of what happens when all training data is AI-generated is a pressing concern in the machine learning community. As AI-generated content becomes increasingly prevalent, there's a risk that future models will be trained on data that is itself generated by AI, potentially leading to a degradation in model performance and diversity. This phenomenon is often referred to as 'model collapse' or 'data collapse.' When models are trained on AI-generated data, they may learn to replicate the biases and errors present in that data, rather than learning from diverse, real-world examples.