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Generative search engines create "answer bubbles" by selectively citing and framing information, leading to divergent information realities compared to traditional search.
AI-agent communities aren't just pale imitations of human ones; they're structurally and linguistically distinct, exhibiting extreme inequality and homogenization driven by identifiable agent-level stylistic outliers.
