Researchers at the International Conference on Machine Learning argue that LLMs possess a fundamental architectural flaw. This vulnerability makes complete security against hacks impossible. The team demonstrates that current defense mechanisms cannot fully neutralize adversarial attacks. Developers must now shift from seeking perfect security to managing inevitable risks in production environments.