Crossing the Singularity丨Liu Xingliang talks about the singularity of Sora AIGC, the moment has not

Mondo Science Updated on 2024-02-27

Cover News Reporter Zhang Yuexi.

With the release of the world-renowned artificial intelligence company OpenAI and dozens of examples, the aftershocks brought to the artificial intelligence industry continue.

How should we view the opportunities and challenges brought by SORA? On February 27, the cover news interviewed Liu Xingliang, president of DCCI Internet Research Institute and founder of "Bright Three Points", who said that SORA does mark an important breakthrough in the application of artificial intelligence in the field of culture and media, but it is not accurate to believe that the singularity moment of AIGC is coming, and there are many factors behind it.

Liu Xingliang. SORA's multi-faceted impact.

Liu Xingliang said that SORA, as a model released by OpenAI that can generate high-quality ** content based on text descriptions, does mark an important breakthrough in the application of artificial intelligence in the field of culture and media. The development of this technology has the potential to change the direction of AIGC to a large extent, especially in the fields of text and film and television creation.

Talking about the possible impact of SORA, Liu Xingliang conducted ** from four aspects. The first is the democratization of content creation. SORA makes high-quality content creation no longer limited to professional film and television production teams or individuals with expensive equipment and software. Through simple text descriptions, anyone can create imaginative and emotionally expressive content, which greatly lowers the threshold for creation and realizes the democratization of content creation.

The second is the improvement of innovative storytelling technology. Traditional film and television production is limited by various factors such as technology, funding, and location, while the emergence of technologies such as SORA will provide creators with unprecedented narrative freedom. Creators can explore new narrative forms and technologies, break the limitations of traditional narrative structures, and create more innovative and diverse works.

Third, it accelerates the speed of content production. SORA can quickly convert text descriptions into ** content, which greatly improves the production efficiency of content. This means that creators can experiment and modify their ideas in less time, quickly respond to market demand and audience feedback, and accelerate the innovation cycle.

Fourth, professional roles will be reinvented. With the increasing use of AI technology in film and television production, professionals working in related fields may need to adapt to the new technological environment. Traditional roles such as screenwriters, directors, and editors may incorporate more technical skill requirements, and new professional roles and areas of expertise will emerge.

The AIGC's singularity moment has yet to come.

There is an opinion that the advent of SORA may mean that the singularity moment of AIGC has arrived. In response to this statement, Liu Xingliang also gave his own opinion. "AIGC's singularity moment refers to the ability of AI technology to reach or exceed the level of human creators in content creation, and the ability to autonomously create content with depth, creativity and emotion, without the need for direct human intervention. He suggested that judging whether this singularity moment has come can be considered from several aspects: First, the maturity of the technology. AIGC technologies such as text generation (GPT series), image generation (e.g., DALL·e), *creation (e.g., Jukebox), and **generation (e.g., Sora) have demonstrated amazing abilities to produce high-quality creative content. The existence and development of these technologies shows that AI has made significant advances in understanding and generating content with a certain amount of creativity and emotion.

Secondly, it is the wide range of industry applications. AI-generated content has been widely used in news reporting, art creation, entertainment industry, education and training and other fields, showing its diversity and applicability.

Finally, there is the improvement of creativity and efficiency. AIGC technology can improve the efficiency of content creation, reduce costs, and improve the creativity of creation to a certain extent, which is a major transformation for content-intensive industries.

While AIGC technology has made significant progress, a number of technical, ethical, and social challenges need to be overcome to reach a true singularity moment – where AI creates high-quality, deep, and emotional content completely independent of humans. Liu Xingliang further explained. First, emotion and depth. AI-generated content, while superficially capable of being very complex and engaging, still struggles to fully capture the complexity and depth of human emotions, especially when it comes to understanding and expressing complex human experiences and emotions;Second, the real novelty of the idea. AI relies heavily on existing data to learn, and its "ideas" are often recombinations of existing information rather than genuine new ideasThird, ethics and responsibility. With the development of AIGC technology, how to ensure the ethics of generated content, avoid the spread of misleading information, and how to define the boundaries of responsibility between humans and AI are all issues that need to be solved urgently.

Welcome to the AIGC singularity.

Although the AIGC singularity has not yet arrived, the industry is still waiting for the technology to break through the threshold and reach the stage where AI can match or surpass humans in terms of autonomy and innovation in content creation. Before that, what preparations the industry needs to make? Liu Xingliang has many considerations: first of all, technical optimization. First, improve understanding and generative complexity: Continue to improve the deep learning capabilities of AI models to better understand and generate complex human language, emotion, and cultural details. Second, to promote innovation and originality, the development of AI systems that can make real innovations and come up with original ideas, which may involve developing new algorithms that can create content without direct historical data support. Third, it is necessary to enhance the ability to interact, improve the naturalness and efficiency of the interaction between AI and human users, so that AI can better understand human intentions and feedback, and collaborate effectively in the creative process. Fourth, it is necessary to improve data quality and diversity, ensure that the datasets used for AI training are of high quality and wide coverage, and avoid bias and misleading content.

Secondly, in terms of ethics and law, it is also necessary to prevent and deal with the problems that are present in the development process of AIGC. In terms of ethical guidelines, it is necessary to develop and implement a set of ethical guidelines on AIGC to ensure that AI-generated content is in line with social ethics and values. On the issue of copyright and ownership, it is necessary to clarify the copyright ownership of AI-generated content, formulate relevant legal frameworks, protect the rights and interests of creators, and promote the sharing of knowledge and culture. In terms of privacy protection, it is necessary to ensure that the content generated does not infringe on the privacy of individuals, especially when processing and using personal data. In terms of transparency and explainability, it is necessary to improve the transparency and explainability of AI systems to ensure that users can understand how AI works and how it makes specific creative decisions.

Finally, there is the improvement of education and capacity. Liu Xingliang suggested that interdisciplinary education and training should be promoted so that future creators and technologists can understand AI technology and its application in the creative industries. It is also necessary to raise public awareness and acceptance of AIGC technology, including its potential benefits and risks. At the same time, practitioners should be encouraged to continuously learn and adapt to new technologies in order to be able to effectively leverage the potential of AI in content creation.

There is no limit to the new imagination of AI large models.

After SORA opened up a new imagination space for AI, industry and capital are accelerating their embrace of AI. In just a few days after the launch of SORA, a number of giant companies have expressed their intention to increase AI. Taking advantage of SORA, a number of domestic large-scale model startups have obtained financing. With the continuous implementation of industries such as large models and data applications, it is expected that China's AI infrastructure will increase to 6,008 by 2027100 million yuan, with a compound annual growth rate of 3998%。

What new imagination space can AI models bring? According to Liu Xingliang's analysis, the new exploration may be reflected in the following aspects: deeply personalized content creation. The AI model can create highly personalized content according to the specific needs and preferences of users, including literary works, artworks, etc., to provide users with a unique experience

The construction of virtual worlds and the metaverse. AI models can play a key role in virtual worlds and the metaverse, creating complex virtual environments, characters, and storylines to provide immersive experiences.

Interactive and adaptive learning materials. In the field of education, AI models can create interactive and adaptable learning materials, adjust content according to students' learning progress and understanding, and achieve personalized teaching. Smart assistants and companions. The AI model can act as a highly intelligent assistant and companion, providing emotional support, health counseling, life management and other services, with stronger understanding and response capabilities.

Finally, innovative forms of artistic expression. The AI model will open up new forms of artistic creation and expression, combining different media and technologies to create unprecedented works of art and promote innovation in the art world.

Related Pages