Why AI Keeps Falling for Prompt Injection Attacks

This article discusses the vulnerability of large language models (LLMs) to prompt injection attacks, a structural weakness that allows attackers to exploit LLMs into performing unauthorized actions. The article uses a drive-through analogy to explain how prompt injection attacks work and why they are difficult to prevent. It highlights the limitations of LLMs in assessing context and the challenges in creating AI systems that are both fast, smart, and secure.