Model18h 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 information. The finding suggests that current safety patches are temporary fixes. Practitioners must now assume that no LLM is entirely immune to adversarial attacks.