The risk of AI model collapse due to training on generative AI output is debated. One group warns of the curse of recursion, while another argues that the issue is not significant.
Researchers from various institutions suggest that accumulating real and synthetic data can break the curse of recursion, challenging the belief in the inevitability of AI model collapse.
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