Model1h ago
Fundamental Flaw Makes LLMs Inherently Insecure
Researchers at the International Conference on Machine Learning argue that large language models cannot be fully secured against hacks. This vulnerability stems from the core architecture of how these models process data. Developers must now assume that absolute security is impossible, shifting the focus toward mitigation rather than total prevention.