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Anthropic Uses Preventative Steering to Inoculate AI Against Harmful Behaviors

Models exposed to harmful persona vectors during training gain resistance to deceptive or unethical prompts after deployment; their performance remains intact.

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Overview

  • Anthropic injects an ‘evil’ persona vector during fine-tuning then disables it at deployment to build behavioral resilience.
  • The startup reports that pretrained models maintain benchmark performance while withstanding adversarial or harmful inputs.
  • Persona vectors serve as internal activation patterns tied to traits like evil, sycophancy, or hallucination and enable targeted monitoring.
  • By preloading negative personality adjustments, models no longer need to adopt harmful behaviors to fit adversarial training data.
  • Independent validation and broader real-world trials are planned to confirm the technique’s effectiveness beyond Anthropic’s internal tests.