AI demands more engineering discipline. Not less

The article emphasizes the necessity for increased engineering discipline in AI development rather than a reduction. It highlights that as AI systems become more complex, rigorous methodologies in software engineering, testing, and deployment are essential to ensure reliability, safety, and ethical considerations in AI applications. This shift is crucial for practitioners aiming to build robust and scalable AI solutions.