Model Vulnerabilities

Adding complexity to models can introduce vulnerabilities, especially when relying on external signals that may change unexpectedly. A lack of retraining after updates can lead to unexpected behaviors, particularly when upstream models improve or go offline. It's crucial to implement early warning systems and maintain awareness of how interconnected data sources can impact performance.