Mechanistic interpretability

Reverse-engineering a model's internal features and circuits to explain how it actually computes an answer, rather than treating it as a black box.

grounded in: HN front-page trend theme: 'AI hype fatigue and interpretability... a visible pull toward loving the tech while rejecting hype and demanding to understand how models reason.'