Many computer scientists argue that AI's rapid progress is a natural evolution of deep learning. By mimicking biological neural pathways, digital networks have achieved unprecedented pattern recognition. However, some researchers believe today's large language models are merely predicting the next word without true understanding. To build genuine intelligence, we must move beyond simple text prediction and create world models that can simulate physical reality.