Currently, OpenAI's business model is to collect service fees from users through applications, including the ChatGPT model for natural language processing, the DALL-E model for creating and editing raw images, and the Whisper model for automatic speech recognition. The company charges according to different AI models and needs, and the generated AI images and language text are each priced according to resolution and characters. This business model is called Artificial Intelligence Generated Content (AIGC), which is to create brand-new content, such as text, graphics, audio, music, video, code, various designs, marketing ads, 3D models, etc., through machine-learning models, and is applied across a wide range of applications. The application scenarios span operation, customer experience, product and service innovation, and involve mostly knowledge-based or creative work.<\/p>\n
Internet content production has gone through three phases: professionally generated content (PGC), user-generated content (UGC), and artificial intelligence-generated content, etc. Most of the Internet content in the Web 1.0 era was high-quality text and video produced by professionals, while in the Web 2.0 era, users began to upload their content freely, and it is expected that in the Web 3.0 era, content will be gradually changed to be produced by artificial intelligence automatically and contribute to the development of the meta-universe because it requires a large amount of digital native content to be created with the help of artificial intelligence. It is expected that Web 3.0 content will gradually be automated by artificial intelligence, which will contribute to the development of the meta-universe, as it requires a large amount of digital native content to be created with the help of artificial intelligence. The development of AI-generated content technology can be broadly categorized into three phases, as described below.<\/p>\n