Model3h ago
Fundamental Flaw Makes LLMs Impossible To Secure
A research team presented a paper at the International Conference on Machine Learning claiming LLMs cannot be fully secured against hacks. This vulnerability stems from a core architectural flaw in how these models process data. The finding suggests that current safety patches are merely superficial. Developers must now rethink the basic security assumptions of large language models.