Is Prompt Injection an Unsolvable Problem in AI?

This article delves into the debate over prompt injection in AI language models, arguing it may be an inherent structural issue rather than a fixable bug. It references insights from OpenAI, Anthropic, and the UK's NCSC, and draws parallels to Douglas Hofstadter's diagonalization concept from Gödel, Escher, Bach. The piece covers jailbreaking methodologies, agent ecosystem vulnerabilities, and trade-offs between capability and safety, offering practical advice for defenders and agent builders. It concludes that prompt injection resembles a fundamental property of general-purpose language interpreters, much like the halting problem, making full mitigation unlikely.