The history of AI's development is a journey of repeatedly pushing boundaries. From its earliest days of symbolic logic, to machine learning where data becomes the teacher, to the foundation laid by backpropagation and neural networks, and finally, with the power of big data and GPUs, to today's deep learning. Reading @OpenledgerHQ's recent article reminded me of this journey of technological evolution. Over the past 70 years, AI has been writing new chapters, moving from rigidity to flexibility, from rules to learning. It is precisely because of this that the future of AI seems not like distant science fiction, but a reality that is happening now. The question now is: What will be the next stage after deep learning? Perhaps this is what we are most excited about.