Generality Beats Specialization

In domains with high information complexity and shifting boundary conditions, generalist systems often outperform specialist systems optimized for specific tasks. This is because generalists learn broader patterns and reasoning capabilities. The narrow advantages of specialist systems are reversed by generalists' superior adaptability and transfer learning abilities when evaluated across multiple real-world dimensions.

Read the daily articles behind this idea on the Chinese edition.