The AI industry is facing a critical data shortage, as high-quality human-written text has been largely consumed. Consequently, AI models are increasingly being trained on data generated and filtered by AI itself. This practice is leading to a degradation of output quality, with each iteration becoming progressively more diluted and less useful, akin to making copies of copies through a greasy lens. AI
IMPACT Potential for degraded AI performance and increased need for novel data sourcing or synthetic data validation.
RANK_REASON Opinion piece discussing a potential crisis in AI data quality.
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