
In the rapidly evolving field of artificial intelligence, the robustness of large language models (LLMs) against adversarial attacks has become a critical concern for developers and researchers alike. Recently, OpenAI researchers have proposed an innovative approach to enhance the robustness of these models by extending their “thinking time” or inference-time compute. This concept represents a significant shift from the traditional