Low-quality AI content, or "slop," shifts the Overton window by saturating digital environments with simplified, cartoonish aesthetics. This creates a feedback loop where LessWrong researchers argue AI models train on their own degraded outputs. This recursive cycle risks distorting human culture. Practitioners must prioritize high-fidelity, human-curated data to prevent systemic model collapse.