This paper introduces SMGI, a structural theory of general artificial intelligence, redefining the problem of learning to focus on the controlled evolution of the learning interface rather than fixed environments. It extends statistical learning theory by treating evaluation as a dynamic, evolving component crucial for general intelligence.