According to @_igorshilov, recent research from the Anthropic Fellows Program demonstrates a novel approach to AI model training that isolates high-risk capabilities within a small, distinct set of parameters. This technique enables organizations to remove or disable sensitive functionalities, such as those related to chemical, biological, radiological, and nuclear (CBRN) or cybersecurity domains, without affecting the model’s core performance. The study highlights practical applications for regulatory compliance and risk mitigation in enterprise AI deployments, offering a concrete method for managing AI safety and control (Source: @_igorshilov, x.com/_igorshilov/status/1998158077032366082; @AnthropicAI, twitter.com/AnthropicAI/status/1998479619889218025).