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Why might AI models collapse when trained on recursively generated data? A. The data size becomes too large for the model to handle. B. The model parameters are not sufficient to process recursive data. C. Recursive data can introduce feedback loops that lead to overfitting and degradation of model performance. D. The model cannot update weights correctly with recursive data.
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