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We introduce enhanced Constitutional Classifiers that deliver production-grade jailbreak robustness with dramatically reduced computational costs and refusal rates compared to previous-generation defenses. Our system combines several key insights. First, we develop exchange classifiers that evaluate model responses in their full conversational context, which addresses vulnerabilities in last-generation systems that examine outputs in isolation. Second, we implement a two-stage classifier cascade where lightweight classifiers screen all traffic and escalate only suspicious exchanges to more expensive classifiers. Third, we train efficient linear probe classifiers and ensemble them with external classifiers to simultaneously improve robustness and reduce computational costs. Together, these techniques yield a production-grade system achieving a 40x computational cost reduction compared to our baseline exchange classifier, while maintaining a 0.05% refusal rate on production traffic. Through extensive red-teaming comprising over 1,700 hours, we demonstrate strong protection against universal jailbreaks -- no attack on this system successfully elicited responses to all eight target queries comparable in detail to an undefended model. Our work establishes Constitutional Classifiers as practical and efficient safeguards for large language models.

Every morning my wife asks me if the mountains are out. So I built her a website: https://lnkd.in/gi6--kdq Claude Code + Midjourney. 2 hours from idea to deployed. What I love about where we are with AI tools is there are a dozen different ways to build this. A few years ago, I would've signed up for a CMS, made a bunch of tradeoffs, and settled for close enough. Now I can just describe exactly what I want and iterate until it's right. I'm a fan of making things that should exist, even if they're silly. You barely need to understand code anymore to ship your idea. | 14 comments on LinkedIn