The dominance of symbolic AI based on logical propositions that chain together was intellectually appealing but ultimately unsuccessful, whereas LLMs—which are not based on logical or compositional structure but rather on scaling data and computation—have proven far more capable than symbolic approaches at producing human-like behavior.