Both supporters and skeptics agree that AI requires some form of context to deliver reliable outputs. They concur that while large models have impressive capabilities, they often lack persistent memory and governance, which knowledge layers provide. Most agree that hybrid approaches combining large models with structured knowledge layers currently offer the best balance of accuracy and explainability. The real debate centers on the scale and design of these layers rather than their fundamental necessity.