Goodfire CTO Dan Balsam said the company is using mechanistic interpretability to move from passive observation to active control of large language models, with tools including concept manifolds, pred…
Goodfire, a San Francisco-based lab, has made its Silico platform generally available, offering a mechanistic interpretability tool that lets users probe AI models with plain-language queries to ident…
Goodfire, a San Francisco-based AI lab founded in 2024, has made its Silico platform generally available, offering tools for mechanistic interpretability of large language models, and announced a $1 m…
Goodfire announced a private beta of Silico, its LLM training platform, and reproduced RLFR, a method using probes as reward signals for reinforcement learning. The announcement sparked debate on Twit…
Goodfire researchers introduced predictive data debugging, a method that uses interpretability to predict which behaviors reinforcement learning will amplify or suppress from a preference dataset befo…