AI Interpretability

In 1507, John Damian strapped on wings covered with chicken feathers and leapt from Scotland’s Stirling Castle. He broke his thigh upon landing and later blamed his failure on not using eagle feathers. For centuries, would-be aviators repeated this pattern: they copied birds’ external appearance without understanding the principles that made flight possible. Today, as we race to build increasingly powerful AI systems, we’re confronting a strikingly similar question: are we genuinely understanding intelligence, or merely building sophisticated imitations that work for reasons we don’t fully…