Artificial intelligence (AI) will provide a strong driving force for the innovative development of the digital economy. At the level of content production, AI technologies and machine learning models such as generative AI and digital virtual human will bring about changes in content production. They can independently generate text, images, audio, video, virtual scenes and other types of digital content, which will promote the vigorous development of generative AI and create new forms of digital content generation and interaction. In addition, the changes in content production brought about by AI and generative AI will also make vr/ar, metauniverse and other future Internet applications a reality that can be expected. Generative AI and digital virtual human become the development trend The two development directions of AI are closely related to the development trend of Internet and digital economy. One is generative AI. This technology represents the future development direction of AI. Gartner lists generative AI as one of the five influential technologies in 2022, and predicts that by 2025, the data created by generative AI will account for 10% of all produced data. Generative AI means that AI and machine learning algorithms independently generate new text, images, audio, video and other content based on training data. Generative AI can learn and abstract the internal patterns of input data, and use these patterns to generate new similar content. At present, generative AI can generate high-quality creative content without human participation, realize image style transformation, text to image, image to expression package, image or film repair, synthesize realistic human voice, generate human face or other visual objects, create 3D virtual environment, etc. Human beings only need to set up a good scene, and generative AI will automatically output the desired results, which will not only bring changes in content production with zero marginal cost, but also avoid prejudice from human thoughts and experience. The second is digital virtual human. Digital virtual human is a digital human character made by computer 3D image software. Compared with the "Avatar" and other virtual characters in the past film and television special effects, combined with AI synthesis, real-time motion capture and other technologies, virtual human can interact with users in language, expression and action more intelligently and in real time. Virtual human is gradually becoming a frontier interdisciplinary field integrating computer graphics, AI and VR, kinematics, multi-functional perception and other disciplines, and is migrating from online entertainment to offline functional scenes. The first trend of virtual human evolution is to integrate conversational AI system, give traditional virtual assistants, intelligent customer service and other chat robots a concrete and friendly human image, and strengthen the emotional connection in communication. The second trend is that production tools are richer and easier to use. Users can modify parameters on the basic image template provided by the system, and can "pinch" into a unique image in only 30 minutes. AI technology will have six impacts Bring more inclusive user interaction and help bridge the digital divide. AI technology will help the inclusive and inclusive development of Internet applications, ensuring that everyone can access Internet applications and get a more natural interactive experience. The combination of machine translation, speech recognition and synthesis, and conversational AI systems allows users who speak different languages to communicate more naturally with each other. In addition, technology applications such as motion recognition, eye tracking and brain computer interface will also bring more optimized interaction methods to future Internet applications such as vr/ar and metauniverse. Bring about the change of content production with zero marginal cost, and create AI generated content on a large scale. Generative AI is of great significance to future Internet applications such as vr/ar and metauniverse, just as UGC (user produced content) is of great significance to current Internet applications. Generative AI can now generate all kinds of realistic content, such as faces, objects, scenes, etc., and can also generate realistic images from text descriptions or simple sketches. These developments mean that through the combination of AI and ar/vr, metauniverse will create a large-scale and realistic virtual world, which is a revolution in content production. Through generative AI, metauniverse can meet the different content needs of a large number of users in a low-cost and efficient way. Bring more intelligent virtual avatars. In the future 3D Internet applications, users will experience various contents and services through a virtual avatar. The accuracy of users' virtual image will determine the quality of experience between users. AI engine can analyze users' 2D pictures or conduct 3D scanning, and then form highly realistic simulation rendering. At the same time, it can combine facial expressions, emotions, hair styles, age characteristics and other factors to make users' virtual images more dynamic. In addition, virtual avatars created by generative AI and synthetic human voice can also provide security for users' privacy in many cases. Drive next-generation AI roles such as digital people to create a more immersive meta universe application experience. The combination of dialogue AI system, advanced real-time graphics processing and other technologies will enable digital agents such as digital human and virtual assistant to realistically imitate human frowns and smiles, become more intelligent and humanized, and provide users with a more intuitive and immersive digital experience in the metauniverse. It can be said that new AI roles such as digital people will determine the experience quality and attraction of vr/ar, metauniverse and other future Internet applications. Support personalized content and service provision in future Internet applications. At present, the Internet faces problems such as information overload. Vr/ar, metauniverse and other future Internet applications still exist, and may even become more prominent. Therefore, high-performance AI driven personalized recommendation system will play an important role. Identify and combat malicious behaviors. In future Internet applications such as vr/ AR and metauniverse, the number of content will also increase exponentially. This means that illegal and harmful content may become more prominent in the metauniverse. Therefore, using AI technology to identify and combat malicious behaviors in the meta universe will become more and more important and necessary. Create responsible AI applications AI, vr/ar and other technologies may also bring new challenges while improving the user experience of future Internet applications. For example, privacy protection, vr/ AR, metauniverse and other application forms may involve the collection of users' private biometric data, posing new challenges to users' privacy and data security. New types of illegal and criminal activities, such as malicious elements using others' portraits and voices without authorization, and using generative AI and digital virtual human technology to engage in counterfeiting, counterfeiting, deception, fraud and other illegal activities. The transparency and interpretability of AI applications, how to ensure that users know that they are interacting with AI rather than human beings, and how to make users understand and trust AI applications such as recommendation systems. Algorithm discrimination, digital human and other AI algorithm applications may also have discriminatory behavior, affecting the rights and interests of users. Therefore, all walks of life need to responsibly develop and apply AI technologies such as generative AI and digital virtual human, and create a responsible, credible and people-oriented virtual reality experience in future Internet applications such as vr/ar and metauniverse. Pay more attention to science and technology ethics and risk management, practice science and technology for the good, and run science and technology ethics governance through the whole life cycle of AI applications. At the same time, deal with privacy protection, security, crimes and other issues in a way of technological innovation, eliminate algorithm discrimination, create more transparent and interpretable AI applications, and improve users' trust and application experience. (Xinhua News Agency)