GoodfireAI co-founder discusses cost-effective AI monitoring techniques

GoodfireAI: GoodfireAI is a San Francisco startup specializing in AI interpretability, developing tools to inspect and monitor the internal workings of AI models. In October 2026, it launched inside-out monitors that analyze neural activations during model operation to detect rogue or misbehaving agents more efficiently than output-review methods, with availability through the Baseten hosting platform. This directly supports the news discussion on using internal signals to catch AI behavior missed by written reasoning. Ban Burismus: Ban Burismus, also known as Tom McGrath, serves as co-founder and chief scientist at GoodfireAI, focusing on mechanistic interpretability research. In mid-October 2026 interviews and posts, he discussed how probing AI internal states can accelerate understanding of model reasoning and enable detection of subtle misbehaviors. His expertise underpins the news segment explaining cost-effective internal monitoring techniques. AI Safety Partnership: In September 2026, Baseten announced a safety collaboration involving Goodfire and Hugging Face to advance monitoring standards for open models. Interpretability Advances: Recent work from Goodfire in September and October 2026 extended internal monitoring techniques from reward hacking detection to biosecurity applications for specialized AI agents.