dailyai.report

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 patching methods are insufficient. Practitioners must now assume that no LLM is completely immune to adversarial attacks.