Silico is Goodfire's platform for intentional model design, providing interpretability-driven tooling to inspect model internals, run diagnostics, debug failures, and shape or improve AI model behavior across model types, including language models.
Recent stories
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releasePRIMARY2026-07-14
Goodfire opens Silico private beta for automated interpretability and RL experiments
Goodfire opened a private beta for Silico, which it says can run automated interpretability and RL experiments. Reported examples include a GLM-5.2 J-space replication and a Qwen3-8B RLFR run that reduced hallucinations by 37%.
releasePRIMARY2026-06-11
Goodfire introduces predictive data debugging with R² 0.9 DPO forecasts
Goodfire said its predictive debugging can forecast DPO-driven behavior shifts with R² 0.9 before training and trace them to individual preference pairs. Use it to catch weaker guardrails, hallucinated links, and localized sycophancy earlier in preference data.