A fundamental flaw leaves LLMs strikingly vulnerable to attack

A research team argues that an inherent limitation in how large language models operate makes it impossible to fully protect them from hacking. Their claim is detailed in a paper presented at the International Conference on Machine Learning, underscoring significant safety implications for the technology.

Summary written by Kernelia from the original article by MIT Technology Review. The story and its rights belong to its author.