Model1h 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. Developers must now accept that total immunity to adversarial attacks is impossible, necessitating a shift toward layered defense strategies.