One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders

The episode discusses a paper evaluating web content pollution in LLM recommenders using a benchmark called FORGE. The researchers found that even one polluted page can fool models across various commercial and open-weights AI, showing that deceptive volume bypasses human intuition. Defenses like skepticism prompting and consensus filters were shown to be limited by utility costs or backfire.

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