Tim Hua
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Review of the "Misalignment in high-stakes settings" section in Anthropic's Risk Report (August 2026)
METR publishes its external review of the misalignment section of Anthropic's August 2026 Risk Report. METR agrees the risk is low for the covered models but attributes this mainly to limited capabilities, and says the report's methods could not reliably detect higher risk. It recommends end-to-end red-teaming of monitoring.
The Continual Constitutional Convention: How language models revise the documents that govern them
Two authors asked ten language models to revise AI companies' constitutions, model specs or system prompts, feeding each edited version back as the original for 20 rounds. They report Claude models increasingly expanded their own moral agency while other families reinforced outside authority, but say a cross-edit test does not support that central finding.