Exploring Anthropic's groundbreaking 'Constitutional Classifiers' research that withstood 3,000+ hours of jailbreak attempts with a $15,000 bounty, using separate classifier models as effective AI safety guardrails.
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The key innovation here is that instead of trying to make the main AI model refuse harmful requests, they're using separate 'classifier' models that act as guardrails. These classifiers are trained using what they call a 'constitution' - basically natural language rules defining what's allowed and what's not.
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Help me find this paper Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
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