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Security researchers tricked LLMs into giving them cocaine recipes by abusing role models for prompt injection
If you want a picture of the future of LLM security, imagine Whac-a-Mole meets Groundhog Day
Summary
If you want a picture of the future of LLM security, imagine Whac-a-Mole meets Groundhog Day Researchers say that machine learning models cannot reliably distinguish between authorized and unauthorized input, ensuring that prompt injection will continue to present a threat until developers find new ways to have machine learning systems process inputs.
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