Synthetic data factories and fast verification loops now drive predictable AI leaps. By focusing on math and programming domains, researchers move beyond simple model scaling. This shift prioritizes data quality over raw volume. Practitioners can now forecast capability gains by measuring the efficiency of these verification loops rather than just compute spend.