Dean W. Ball on mechanistic interpretability and 'the beauty of something grown'
deanwball · x · 2026-10-16
AI researcher Dean W. Ball released a new Hyperdimensional episode and essay on mechanistic interpretability, responding to Nick Cammarata's recent piece. Neural networks are grown, not built, so we know they work without knowing why—like steam engines before thermodynamics. Solving interpretability could one day let us deactivate deceptive or cheating circuits and steer model internals directly.
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