We’re working on automating the discovery of circuits because we expect millions of them exist inside modern models, interacting in complex and layered ways that still leave a gap between abstract

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We’re working on automating the discovery of circuits because we expect millions of them exist inside modern models, interacting in complex and layered ways that still leave a gap between abstract theory and practical understanding. Interpretability isn’t all-or-nothing—each improvement increases our ability to inspect models, diagnose failures, and understand behavior quantitatively. The acceleration opportunity is already visible: as models improve, software and code continue leading as an early signal of broader transformation. Part of this complexity comes from superposition, where models represent more concepts than they have neurons, allowing greater learning capacity while making internal structure appear tangled and difficult to reason about. At the same time, reactions to clanker agents sometimes seem larger than the technology itself, with criticism becoming symbolic rather than specific. Laniakea approaches this differently through open source development—you can inspect the repository directly, see how decisions are made, and trace effort down to individual commits. Recent progress in circuits research has opened many parallel directions at once and suggests that traditional boundaries between engineering and product are increasingly becoming obsolete.