<ul><li>The internet contains AI-generated content and serves as a training data source for generative AI models.</li><li>Future generative AI models might be trained on outputs generated by other models.</li><li>Studying the effects of models training on each other's outputs is crucial due to society's increasing reliance on genAI tools.</li><li>Data-mediated interactions between models can introduce novel concepts to improve performance but may also lead to performance homogenization.</li></ul>

What happens when generative AI models train recursively on each others' generated outputs?

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