
AI Just Killed Our Definition of Smart
For centuries, we’ve treated mathematics, logic, and analytical reasoning as some of the highest expressions of human intelligence. Then AI came along, and started automating them first. In this episode, I argue that this isn’t a coincidence. Mathematics and computer programming are unusually closed, symbolic, rules-based forms of thought. They can be extraordinarily powerful, but the very properties that make them precise also make them particularly amenable to machines. Meanwhile, many of the things we traditionally dismiss as “soft” such as intuition, abstraction, analogy, deciding what matters, navigating complexity, and connecting ideas across domains, must represent a deeper kind of intelligence. And AI proves it. In this episode: • Why math and coding are being automated so quickly • Why symbolic reasoning is fundamentally different from navigating complexity • What AI reveals about IQ and analytical intelligence • Why the mathematician and programmer of the future may need a completely different skill set • What humans should be doing when machines can manipulate the symbols for us AI didn’t just automate some of our smartest work. It forces us to reconsider what “smart” meant in the first place. Support the show If you enjoyed this episode and want to go deeper, come find me over at dekyon.io/seanmcclure/nontrivial With a premium membership you get the full NonTrivial learning experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show. Even use AI to convert my insights into usable techniques. There's also personal note saving, full episode transcripts, watch-where-you-left-off, new episode alerts, and a community forum for asking questions. It's where the episode stops being something you just listened to and becomes something you truly understand.


















