AI Practice
Principle 4: AI Must Be Made Local to Be Useful
AI systems arrive as general-purpose tools, trained on broad datasets and marketed on their versatility. But generality comes with a cost: a system that can do anything adequately often does nothing particularly well. Generic capability translates into generic output.