The article argues against simply mimicking human workflows in AI development, using the example of AlphaGo's unconventional Move 37 to illustrate the potential of first-principles agents. It advocates for designing AI that prioritizes problem-solving efficiency over human-like behavior, suggesting a balance between traditional and innovative approaches.