dailyai.report

The startup Goodfire released Silico, a mechanistic interpretability tool for adjusting model parameters during training. It allows engineers to peer inside neural networks to modify specific behaviors in real time. This provides more granular control over model alignment than previous black-box methods. Practitioners can now debug internal weights to fix specific errors without retraining.