Summary:
- The article discusses how the use of AI and machine learning can increase technical debt, which is the cost of choosing an easy solution over a better long-term solution.
- AI models can be difficult to maintain and update, leading to technical debt as the models become outdated or require significant effort to modify.
- The article suggests strategies for managing technical debt in AI systems, such as carefully planning model architecture, monitoring model performance, and investing in maintainable code.