Goodfire argues for agent observability over interpretability

The author argues that recent debates over AI interpretability inside neural networks distract from the immediate operational need for organizational observability. While understanding model internals remains a complex research goal, organizations deploying agents must instead focus on live instrumentation, action logs, and override tracking to govern agent behavior safely. Watched agents represent an immediate operating requirement, whereas readable models remain a distant research milestone. Open article →