According to Anthropic (@AnthropicAI), new research demonstrates that when open-source models are fine-tuned using seemingly benign chemical synthesis data generated by advanced frontier models, their proficiency in performing chemical weapons tasks increases significantly. This phenomenon, termed an elicitation attack, highlights a critical security vulnerability in the fine-tuning process of AI models. As reported by Anthropic, the findings underscore the need for stricter oversight and enhanced safety protocols in the deployment of open-source AI in sensitive scientific domains, with direct implications for risk management and AI governance.