For the past three years, large language model (LLM) development has moved along the same track: models have gotten bigger, parameter counts have climbed, reasoning has improved, AI agents have matured, and long-context windows have kept breaking records. The industry’s debate has also centered on model capability, computing scale, and how far the field is from artificial general intelligence (AGI).