Goodfire launched Silico, an agent for long-horizon, asynchronous AI research experiments that plans work from a stated research goal, runs jobs in parallel across compute fabrics, monitors runs, and returns inspectable results. It builds on Goodfire's interpretability research, offering training and interpretability libraries for tasks such as training sparse autoencoders and probes, visualizing model architecture, diagnosing regressions and feature collapse, running SFT, DPO and RL experiments, and reproducing papers. Variants are positioned for life sciences, robotics and vision, and LLMs. Named users include Arc Institute, Basecamp Research, Mayo Clinic, Microsoft, Prime Intellect, Rakuten and Valinor Discovery, with executives from Prime Intellect, Valinor and Basecamp Research providing testimonials. It is available as a macOS download or via demo request.

• goodfire.com2026-08-04