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@torchcompiled

Ok this is interesting, because this paper basically says the opposite. So long as 2% of your data is real, collapse is substantially mitigated. thoughts? feelings? https://t.co/JKGeAM7OT8

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    "full_text": "🚨 Fascinating insights from the paper “Strong Model Collapse”! (https://t.co/WTg2dujtkE) It concludes that even the smallest fraction of synthetic data (as little as 1% of the total dataset) can lead to model collapse. 🧠 Larger datasets don’t necessarily improve performance! https://t.co/8ILPRQ5f8b",
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