The startup Goodfire released Silico, a tool allowing engineers to adjust model parameters during training. This mechanistic interpretability approach lets developers peer inside AI models to modify specific behaviors. It provides more granular control than standard training methods. Practitioners can now debug internal model logic to reduce errors before deployment.