AI Models Risk 'Digital Mad Cow Disease' Without Fresh Data 🧠

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Summary:

  1. Digital Self-Consumption
    New research from Rice University and Stanford University warns that AI trained on synthetic data risks Model Autophagy Disorder (MAD), akin to mad cow disease.

  2. Degrading Quality
    Without fresh, real-world data, AI-generated content declines in quality and diversity, leading to indistinguishable outputs.

  3. The Need for Freshness
    Findings suggest that fresh human-generated data is essential to maintain AI model performance and prevent self-consuming loops.

Read more at: ScienceAlert

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