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On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models

arXiv cs.AI · yesterday Cached

This paper formalizes the impossibility of perfect prompt-injection prevention in shared-embedding sequence models, proving that no in-pipeline mechanism can guarantee Semantic-Faithful Control due to inseparable representations of instructions and data, analogous to code-data confusion in Von Neumann architectures.

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