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In collaboration with researchers at the ai security institute and anthropic, we today publish the largest investigation of data poisoning yet conducted, finding that llms may be more vulnerable than previously thought On friday, anthropic—the maker of chatgpt competitor claude —released a research paper about ai sleeper agent large language models (llms) that initially seem normal but can deceptively output. Our focus in this research was the use of data poisoning to insert ‘backdoors’ into llms.

Tests of large language models reveal that they can behave in deceptive and potentially harmful ways It’s trivially easy to poison llms into spitting out gibberish, says anthropic github copilot ‘camoleak’ ai attack exfiltrates data take note What does this mean for the future?

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