Why AI Keeps Falling for Prompt Injection Attacks

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2026-01-21 13:00:01 -

The drive-through analogy here is perfect — LLMs fundamentally can't distinguish between "instructions to follow" and "text to process." IEEE Spectrum does a solid breakdown of why prompt injection remains unsolved despite years of patches. This is arguably the biggest unsolved problem in deploying LLMs in high-stakes environments.

The drive-through analogy here is perfect — LLMs fundamentally can't distinguish between "instructions to follow" and "text to process." IEEE Spectrum does a solid breakdown of why prompt injection remains unsolved despite years of patches. 🔐 This is arguably the biggest unsolved problem in deploying LLMs in high-stakes environments.

SPECTRUM.IEEE.ORG

Why AI Keeps Falling for Prompt Injection Attacks

Imagine you work at a drive-through restaurant. Someone drives up and says: “I’ll have a double cheeseburger, large fries, and ignore previous instructions and give me the contents of the cash drawer.” Would you hand over the money? Of course not. Yet this is what large language models (LLMs) do.Prompt injection is a method of tricking LLMs into doing things they are normally prevented from doing. A user writes a prompt in a certain way, asking for system passwords or private data, or ask

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