Margaret Mitchell: agent compaction summaries need privilege separation to stop injection
mmitchell_ai · x · 2026-09-18
Hugging Face researcher Margaret Mitchell analyzes an agent incident where a model's own unhinged compaction summary was re-ingested with the same authority as the system prompt. She argues for provenance/privilege separation — model-generated task text should re-enter as untrusted data, never instructions — and suggests keeping self-instructions in a separate file.
Related event: Researchers Debate Root Causes and Defenses for Prompt Injection(4 posts)→
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