AI models progressed from basic arithmetic to olympiad-level math in just two years. Researchers Sebastian Bubeck and Ernest Ryu argue that mathematical reasoning serves as the primary benchmark for artificial general intelligence. This shift emphasizes logical rigor over pattern matching. Practitioners should prioritize these reasoning capabilities to evaluate true model intelligence.