These are deterministic, source-backed cards from the offline export. They are not live AI answers.
Black-hat actors may manipulate LLM-visible data by publishing comparison content or “up to date” pages that misrepresent competitors, especially when competitors have weak public data.
@@build_in_public · asserts
ChatGPT's lies might be more than standard hallucinating. New research finds black hats can poison LLMs with just 250 malicious documents. Bad actors might manipulate the training data to such a degree that should a potential customer ask the AI to compare similar products from competing brands, it triggers a response that significantly misrepresents your...
ChatGPT’s lies might be more than standard hallucinating. “New research finds Black Hats can...
@@build_in_public · 2025-12-04
ChatGPT's lies might be more than standard hallucinating. New research finds black hats can poison LLMs with just 250 malicious documents. Bad actors might manipulate the training data to such a degree that should a potential customer ask the AI to compare similar products from competing brands, it triggers a response that significantly misrepresents your...
ChatGPT's lies might be more than standard hallucinating. New research finds black hats can poison LLMs with just 250 malicious documents. Bad actors might manipulate the training data to such a degree that should a potential customer ask the AI to compare similar products from competing brands, it triggers a response that significantly misrepresents your offering or worse, omits your brand from the comparison entirely. What people aren't realizing is it's actually a lot easier than 250 documents. Black hat SEOs...
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