A fundamental flaw leaves LLMs strikingly vulnerable to attack

A paper presented at the International Conference on Machine Learning argues that LLMs cannot be made fully secure against hacks because of a fundamental flaw in how they work. The researchers say the finding has major implications for securing AI systems in real-world deployments.