Model4h ago
Fundamental Flaw Makes LLMs Impossible To Secure
A new paper presented at the International Conference on Machine Learning argues that LLMs cannot be fully secured against hacks. This inherent vulnerability stems from the core architecture of these models. The finding suggests that current safety patches are merely temporary fixes. Practitioners must now assume that no prompt-injection defense is foolproof.