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TechMIT Tech Review · 60d ago

A fundamental flaw leaves LLMs strikingly vulnerable to attack

Large language models cannot be made fully secure against attacks due to a fundamental flaw in their basic design, according to researchers presenting at the International Conference on Machine Learning. This vulnerability exists inherently in how these systems process and generate text.

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