The principal-reviewer-driver model behind the safe auto-approve analysis, explained
Aaroth · x · 2026-09-15
Aaron Roth describes the model behind his analysis: the principal and reviewer agents each have utility functions to maximize; the driver agent repeatedly proposes actions, and reviewers compare them to a baseline and vote approve/deny based on perceived utility. This formalizes the Codex/Claude Code approval mechanism to study when safety is guaranteed even with misaligned reviewers.
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