CAI 2.0 third-week production telemetry shows expected amendment-volume distribution — dynamic-constitution drift-detection methodology is operationally mature
Anthropic's Constitutional AI 2.0 enters its third week of mid-June production-deployment data. Amendment-volume telemetry shows the expected long-tail distribution: ~60% of amendments concentrate in known edge-case categories, ~30% in domain-specific patterns, ~10% representing genuinely-novel behaviors. The methodology produces operationally-tractable signal volume rather than overwhelming review-queue load.
The substantive piece is the operational-tractability validation. The pre-launch concern about CAI 2.0's amendment mechanism was that production deployment would generate amendment volumes that overwhelmed the human-review queue — converting a useful drift-detection signal into a noise problem. Three-week data shows amendment volume sits at ~200-400 amendments/day across all production deployments combined, which is manageable for a dedicated review team of ~5-8 reviewers. The methodology scales operationally.
The connection to the three-lab joint statement on CoT monitoring is that CAI 2.0's amendment-volume telemetry is itself a partial response to the CoT-monitoring-loss concern: when the model can no longer reliably surface its reasoning to human reviewers, the amendment-volume signal becomes the load-bearing drift-detection substrate. The methodology bets that constitution-amendment patterns remain interpretable even as CoT becomes opaque.
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