Why prompt injection works: a Transformer-level view

A developer explains prompt injection in large language models from a Transformer architecture perspective, detailing how attention mechanisms and token embeddings enable adversarial inputs to override system prompts. The analysis provides a technical breakdown of why prompt injection attacks succeed at the model level.