1/3 Most people see the polished version of a career. Mine was not polished. I struggled badly when I was young, disappointed people who cared about me, and took a long and unlikely road toward becoming a mathematician.
Ken Ono, mathematician at Axiom Math and the University of Virginia, on why 2026 shouldn't be the race for more compute. What you'll learn: - The three forms of AI (chatbots, superhuman search, formalization) and which one is hiring - Why students who want to be mathematicians should start 'formalizing' now - The test for a good question vs. a hollow one, and how to tell who you're really asking it for - How he spots outlier talent that a box-checking admissions system throws away - Why comparing yourself to LeBron or a Nobel laureate guarantees you lose Timeline: 00:00 Intro 02:13 Q1) Have you ever felt obsolete because of AI? 09:33 Q2) What makes a good question? 11:35 Q3) What does 'Superintelligence' mean? 14:04 Q4) What's the biggest AI misconception? 19:34 Q5) What judgement can't AI replace? 21:13 Q6) How do I get past AI filters? 27:45 Q7) Is it bad that I prefer talking to AI over humans? 29:30 Q8) AI is smarter than most of us. What should we do? 31:46 Q9) As a junior, how can I catch up with seniors in the AI era?
2/3 I do not share this because struggle automatically makes someone admirable. It does not. I share it because people can change—and because someone who appears successful today may once have felt completely lost.