Model2h ago
Fundamental Flaw Makes LLMs Permanently Vulnerable
Researchers at the International Conference on Machine Learning argue that large language models cannot be fully secured against hacks. This vulnerability stems from a core architectural flaw in how these systems process data. The finding suggests that current safety patches are merely superficial. Developers must now rethink basic model security to prevent targeted attacks.