With the ability to quickly and accurately process, analyze, and simulate large amounts of data, AI can help scientists identify and detect data that humans may not immediately understand, and make predictions, potentially revolutionizing our understanding of the universe. Recently, Elon Musk officially announced the establishment of artificial intelligence (AI) company xAI, whose primary purpose is to try to understand the universe and focus on answering deep scientific questions. The vast universe, the unknown seems to always outweigh the known. So, can AI help humans understand the universe? What are the Technology roadmap for AI to help people understand the universe? In the future, how will AI and humans leverage their respective strengths to make the path of human scientific exploration smoother? But like biology, self learning and self "evolution" "from the atomic nucleus to the birth of the universe, these belong to the category of the essence of the universe. Musk announced that the goal of establishing xAI is to understand the essence of the universe, so the AI he expects to make must have a deeper and lower level of intelligence than all other AI competitors." Recently, Wu Jiaji, a professor of the Electronic engineering School of Xidian University, told Science and Technology Daily in an interview. In Musk's view, this competitor is largely a generative AI such as ChatGPT. Many generative AI can answer questions raised by humans, so how are they different from Musk's idea of AI that can understand the universe in terms of technical principles? Wu Jiaji explained that generative AI mainly generates new data by learning and extracting patterns from samples. It focuses more on predicting and generating natural language, and has a wide range of applications in fields such as text or images, but its depth and breadth are relatively limited. And AI that can understand the universe not only needs to be able to generate new data, but also needs to focus on how to deeply understand and analyze various information, the development laws of things, and the complete structure of things in the universe. Its depth and breadth are relatively deeper and larger. This requires AI to have a stronger level of intelligence and generalization ability, as well as a higher level of cognition and 'imagination'. But AI does not have the ability to think, how can AI without the ability to deeply understand various problems and help humans explore the laws of things' development? The reason why people believe that AI does not have the ability to think is because previous AI relied on a large amount of existing data for training, unable to break through the knowledge boundaries built on the training data. However, Musk's idea of AI may use a combination recurrent neural network (RCNN) It can enable AI to self-learning and continuously 'evolve' like organisms, resulting in unpredictable self inspiring abilities and even the ability to solve unknown problems Wu Jiaji said. So, what conditions do AI need to meet to possess these abilities? Wu Jiaji believes that this requires the support of a large amount of data, comprehensive algorithms, and strong computing power and storage capabilities. Data is the "feed" of AI, and AI needs data to conduct deep learning; Algorithms with autonomy and adaptability are the key for AI to deeply understand and analyze various complex information and laws in the universe; Powerful computing and storage capabilities are the "logistical support" of AI, serving as the foundation for AI to unleash its capabilities.