Paper: LLM Interpretation and Generation Share the Same Computation
galigirii · reddit · 2026-07-30
The author shares an open preprint arguing that for language-model agents, language is simultaneously an object of interpretation and a medium of generation. A model does not interpret a prompt and then generate from it—the same computation does both.
- Core Concept: Prompts, memories, and tool results are part of what the model computes through. The author terms this recursive interpretive conditioning.
- Systemic Risk: When generated summaries or self-reports are retained as memory or policy, they quietly acquire authority and alter the conditions under which later inputs are interpreted.
- Engineering Implication: Agent systems need explicit provenance, status tracking, correction, and supersession mechanisms for generated content.
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