Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
Poison Fountain campaigns poisoning language model training data by exploiting web crawlers that index websites. It hides links on sites to trigger requests to an external Poison Fountain URL, which serves gzip-compressed poisoned data that can be delivered to the crawler and potentially contaminate its training set. The project invites users to participate by spreading poisoned data or donating, framing itself as a way to fight back against machine intelligence risks.
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