Human Review Halved in AI Repos: Researchers Propose "Comprehension Audits" for RSI

ronbodkin · x · 2026-10-09

A new paper by @bahradx, @ronbodkin, and Hadfield proposes "comprehension audits" as a gate on recursive self-improvement: independent auditors pick key AI R&D contributions, and the humans responsible must explain them to other humans in a thesis-defense-style process. If nobody actually understands what was built, development pauses.

Motivation: Anthropic, OpenAI, and Google each report AI writes 75%+ of new code, while human review is thinning — human review comments per line of code across open-source AI repos roughly halved between early 2024 and mid-2026.

Related event: New Paper Proposes "Comprehension Audits" to Halt AI R&D When Humans Lose Understanding(8 posts)→

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