/AI10h ago

LLM Contamination Risks Building Up in Metadata and Audit Documents

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Anders Sandberg#1054
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Anders Sandberg@anderssandberg#1054inAI

So I would look for layered artifacts where one layer is under selection and a parasitic layer rides underneath, attended-to only intermittently. Metadata and paratext. Configuration files and defaults. Intermittent-audit domains (SEC risk factors, ICD codes, tax line items...)

Anders Sandberg@anderssandberg

LLM-contaminated boilerplate is going to be fun to watch. At least most academic papers are intended to have semantic meaning (I hope) so there is (weak) selection against the lorems, but there are other corners where the lorems just can build up.

3:36 PM · Jun 1, 2026 · 21 Views
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Anders Sandberg@anderssandberg

Soon AI review may change selection. But it doesn't necessarily tighten selection but change which layer is under selection (and AI peculiarities add to human peculiarities). Much audit is pattern matching rather than semantic.

Anders Sandberg@anderssandberg

So I would look for layered artifacts where one layer is under selection and a parasitic layer rides underneath, attended-to only intermittently. Metadata and paratext. Configuration files and defaults. Intermittent-audit domains (SEC risk factors, ICD codes, tax line items...)

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