LLMs face inherent security vulnerabilities that cannot be fully patched due to foundational architectural flaws. Researchers presented these findings at the International Conference on Machine Learning, challenging the long-term viability of current alignment and safety guardrails. This realization forces AI developers to rethink threat modeling and accept residual risk when deploying models in production environments.
Opening Kapyn…