Goodfire Launches Silico Platform for Frontier Model Interpretability
simonguozirui · x · 2026-08-05
Goodfire AI has publicly released Silico, an AI research platform designed to help developers interpret and train models at frontier scale. It integrates with leading open-weight training infrastructures like Tinker and supports running on local hardware or combining the two.
A demo showed Silico running reinforcement learning on Tinker while simultaneously running a probe-based reward model on a B200 cluster.
More from Research
- Microsoft Paper Proposes FORCE-Bench and Harness Architecture for Enterprise Agents — solyarisoftware · 2026-08-25
- PyMC Labs: Speed Optimization Causes Agents to Skip Self-Checks — twiecki · 2026-08-25
- MoE Training Cost Cut: Proxy Models Predict Optimal Learning Rates at Trillion-Token Scale — burny_tech · 2026-08-25
- Irving: TCS's 'obstacle culture' offers hope for alignment research — geoffreyirving · 2026-08-25
- Geoffrey Irving cites paper proving monitoring can't scale to superintelligence — geoffreyirving · 2026-08-25
- LaProp authors resurface 2020 optimizer: momentum after normalization beats Adam on stability — Gradientdinner · 2026-08-25