As large language models (LLMs) continue to increase in size and complexity, researchers have observed a fascinating phenomenon: these models suddenly exhibit capabilities that weren’t present in their smaller predecessors. These “emergent abilities” appear not through explicit programming but as a result of scaling up model parameters, training data, and compute resources. The implications are…