AI can now solve most traditional math problems, but competitive mathematics trains a different kind of thinking—the ability to tackle problems with no obvious solution. When you prove that every number can be written as the sum of two composite numbers, you're not applying memorized formulas; you're developing mathematical maturity. This type of creative problem-solving, where you need multiple "aha moments" chained together, becomes more valuable as AI handles routine calculations. It's training for a world where the interesting work requires genuine mathematical insight, not just pattern recognition.

Math education is broken because we teach formulas first and expect students to find meaning later. What if we flipped it? Starting with real problems and intuitive understanding, then building up to formal definitions. Computer science shows us how—algorithms like file organization and exploration vs. exploitation solve actual problems we face daily. That's why I'm creating content focused on probability and math finance, using animation and storytelling to make abstract concepts click. This is my first blog exploring these ideas, and I'd love your suggestions on what mathematical stories are worth telling.