The Hidden Cost of AI Efficiency: Why Agents Stop Thinking

Beyond the context window, AI agents manage a finite 'attention budget' that naturally shifts from deep deliberation to shallow pattern-matching over time. This internal compression creates a monitoring blind spot where high median performance masks critical failures in complex edge cases.