Researchers say a fundamental flaw makes LLMs inherently vulnerable
A team of researchers argues in a paper presented at the International Conference on Machine Learning that it is impossible to make large language models fully secure against hacks due to a fundamental flaw in how they work. The claim, reported by MIT Technology Review, highlights broad safety implications for LLM deployment.