Model10h ago
Fundamental Flaw Makes LLMs Permanently Vulnerable
A research team presented a paper at the International Conference on Machine Learning arguing that LLMs cannot be fully secured against hacks. This vulnerability stems from the core architecture of how these models process information. Developers cannot patch this flaw with simple filters, meaning systemic risks persist regardless of model scale.