The article argues that the internet is the key technology driving advancements in AI, rather than architectural innovations like transformers. It emphasizes that the focus should shift from optimizing models to understanding how to effectively utilize the vast amounts of data available on the internet for training AI systems. The author suggests that the future of AI lies in improving methods for data consumption and highlights the significance of next-token prediction as a core technique.