AI models progressed from basic arithmetic to research-level mathematics in just two years. Sebastian Bubeck and Ernest Ryu argue that mathematical reasoning serves as the primary benchmark for artificial general intelligence. This shift focuses on logical rigor over pattern matching. Practitioners should prioritize formal verification to ensure model reliability in complex reasoning tasks.