Why AI engineering needs old-school discipline

The article discusses the importance of discipline in AI engineering, citing the need for old-school methods to balance the rapid advancements in AI technology. This discipline is necessary to ensure that AI systems are developed and deployed responsibly. Engineers should focus on understanding the underlying data and algorithms, rather than solely relying on AI tools. This approach will help to prevent potential biases and errors in AI systems. By adopting this discipline, AI engineers can create more reliable and trustworthy AI solutions.