Disregard that! attacks
Summary
The article explains prompt-injection risks in large language models via context window manipulation, argues guardrails are insufficient, and discusses mitigations like avoiding untrusted input, human oversight, and code-based approaches. It emphasizes that untrusted content can come from JSON, Google results, or internal documents, and notes that even major AI providers face these challenges.