Could the Best LLM Generate a Symbolic AI Superior to Itself? Here is a question that sounds philosophical but is actually deeply practical: could the best LLM currently available write a symbolic AI system that is, in some meaningful sense, smarter than the model that wrote it? And underneath that question sits an older, stranger one — is there something fundamentally superior about the matrix math powering modern neural networks, or could the graphs and rules of classical symbolic AI still win in the right context? ...