From the application of generative artificial intelligence to see how the new cultural productivity can incite change.

At present, new technologies represented by generative artificial intelligence have spawned new cultural productivity, which is inciting cultural changes and promoting the innovative application of AI+ cultural Internet. In actively competing for new tracks such as digital culture, meta-universe and intelligent terminals, the cultural industry focuses on "algorithm innovation+scene empowerment" and prospectively lays out new areas and new tracks for future cultural development such as digital intelligence era, big reading era and future intelligence, which will bring key increments to high-quality development.

Cultural computing power will become the key development force.

The key reason why generative artificial intelligence can have a great impact on the development of the whole cultural cause is that the big model is promoting key innovation. China’s cultural information has a large amount of data, complex types, wide dimensions and diverse levels, which provides important conditions for the development of generative artificial intelligence in the cultural field.

The so-called cultural computing is a technical means to use social computing, big data, artificial intelligence and other technologies to cross and integrate with humanities and history, realize the excavation and dissemination of cultural content, promote digital humanities research, and promote cultural prosperity and development. The innovation and development of cultural undertakings focus on the training and application of advanced artificial intelligence models, which will effectively support the rapid development of generative artificial intelligence in China cultural undertakings.

As the key development force of digital culture, computing power has formed a new pattern of cultural innovation and opened a new track for cultural computing power network. It is a new cultural productivity and development force that integrates information computing, data storage and network carrying in the development of cultural digitalization. In 2018, the first China Cultural Computing Conference was held. Some scholars believe that this marks the "comprehensive start of systematic research on cultural computing in China". Generative artificial intelligence is empowering cultural computing power and consolidating the cornerstone and base of high-quality cultural development.

According to the evaluation report of International Data Corporation in 2022, the computing power index is promoting the continuous growth of the country’s digital economy and gross domestic product, including general computing power and special computing power. Therefore, the improvement of cultural computing power will promote the reform of cultural supply side and the improvement of cultural service power. The development of generative artificial intelligence model needs cultural computing power to keep pace with the times. From the perspective of computing power platform, it needs to improve the computing power with ultra-high computing density, ultra-large-scale computing power and ultra-fast training speed. Generative artificial intelligence needs to build a wider computing power network in time and space, so that computing power can break through the limit of cultural single point performance and provide a larger, more efficient and more ubiquitous computing power supply scheme for the digital intelligent transformation of cultural institutions.

The connotation of computing power network is embodied in the following aspects: adjusting computing power by network, integrating computing power by network and strengthening computing power by network. Through the perception, reach, arrangement and scheduling of computing power by communication network, at any access point of computing power network topology, it can provide users with flexible, real-time and intelligent matching of computing tasks and provide the best computing power resources, so as to meet the multi-party computing power demand at any time and any place and achieve the goal of improving and optimizing cultural service power by data computing power. Through the digital China strategy, we have promoted the industrialization of R&D and cloud network integration of the software and hardware infrastructure of computing network with large computing power, high performance, low power consumption and high reliability. Some scholars have pointed out that the transformation from computer network collaboration to computer network integration to computer network integration is improving China’s independent innovation ability and international competitiveness, thus helping China win the initiative in the global high-tech cultural competition.

At present, the total scale of computing power in China has reached 180EFLOPS, ranking second in the world, with a storage capacity of more than 1000EB；; There are more than 6.5 million standard racks of databases in use and more than 20 million servers. There are 79 large-scale models with 1 billion-level parameters and above in China. With the initial formation of the ladder supply system of computing infrastructure in China, the integrated application system of "computing, storage and transportation" is gradually being built. All these provide a foundation for the new development of cultural computing power under the new track of generative artificial intelligence, and also show the great power of cultural innovation and high-quality development in generate, providing a new technical environment and foundation for China’s cultural undertakings to rank among the top in the world and form the oriental growth pole of world cultural development.

Improving the ability of data science in realizing its own iterative evolution

Computing power is based on data. In October 2019, the Fourth Plenary Session of the 19th CPC Central Committee added "data" as a factor of production, reflecting the important role of data in the era of digital transformation. The implementation of digital China strategy needs high-level data element configuration to improve data science ability, and the development of high-quality cultural digitalization is inseparable from high-quality cultural data governance. The proportion of artificial intelligence used in China and the huge amount of data generated will make China the largest data circle in the world. Therefore, we should activate the potential and value of cultural data elements through high-quality cultural data governance.

In the process of mass data generation, data science ability should be planned as the strategy and core ability of cultural institutions’ innovation and development. The large-scale application of artificial intelligence is unstoppable, and the lack of computing power of existing artificial intelligence is an urgent problem to be solved. In the development of cultural undertakings, the efficient storage, processing and presentation of multi-source heterogeneous data in national cultural venues in provinces, cities and counties will be accelerated through generative artificial intelligence, which will change the past lack of data analysis support and rely only on some experience to analyze and study the history of cultural undertakings. Using the pre-estimated results of system simulation and integrating multi-group, multi-scene, multi-time and multi-probability simulation processes will greatly improve the efficiency of cultural decision-making and reduce possible costs, and take the lead in realizing cultural decision-making in the national strategy of building a digital twin city according to local conditions.

In the face of cultural data such as cultural space places, cultural service groups, cultural service contents, cultural creative products, and cyberspace traffic, it is necessary to continuously improve the ability of collection and integration, the ability of data analysis and mining, optimization and screening, and application modeling, and obtain the corpus, data and analysis results needed for high-quality development through the targeted model of generative artificial intelligence, so as to provide scientific predictions and decisions for the development of cultural undertakings and realize the integration and innovation of cultural services empowered by generative artificial intelligence.

Under the environment of integration and platformization of general tools of generative artificial intelligence, the new fields and new tracks generated by it will benefit the general public, thus enhancing the sense of cultural acquisition and happiness. However, it should be noted that in the process of empowering cultural undertakings with generative artificial intelligence, in order to overcome the problem of single-point application and individual development, generative artificial intelligence should run through the whole life cycle of cultural service system, such as creative production on the supply side of cultural products, interactive feedback on the demand side of cultural services, and dynamic flow of cultural service space. In the top-level design, the overall layout and coordination of cultural computing resources should be strengthened, and the comprehensive supply capacity of cultural computing power should be improved, so that massive and complicated cultural data can be visualized through the new technology of generative artificial intelligence.

A new high-quality development channel for the transformation of cultural space from batch to digital intelligence

At the moment when high-quality development has become the primary task of the development of cultural undertakings, the new cultural productivity will empower the high-quality development of cultural undertakings. No matter whether it is a library, a cultural center or a museum, whether it is a folk art song and dance or a music painting, it is facing the proposition of batch transformation to digital intelligence to achieve high-quality development.

With the transformation of digital intelligence of cultural institutions, all kinds of heterogeneous data will continue to precipitate, and the portraits of users obtained by cultural service subjects will be clearer. In the process of this change, the main body of cultural services should consider how to provide more services needed by readers and users. In the new development environment, people’s cultural consumption habits are changing, and the functions of cultural service subjects have developed from simple reading and viewing to more social spaces and more personalized cultural experiences. Cultural service subjects embrace generative artificial intelligence and form large-scale applications, which will open a new era for the development of digital intelligence culture.

The real number intelligence is based on the data collection of real scenes, through intelligent analysis and mining, and constantly optimizing service items and service products through self-learning to adapt to various cultural service scenes, so as to enhance and improve service quality. In this development process, how to build a national integrated computing network platform based on the construction of smart cultural venues will be put on the agenda. Generative artificial intelligence will realize the efficiency change and dynamic change of cultural undertakings to promote quality change, which is obviously the road of batch digital intelligence transformation and high-quality development innovation for future-oriented cultural institutions.

We should strengthen the awareness of opportunities and risks.

The new technology represented by generative artificial intelligence is developing with each passing day, so we should think calmly, deal with and avoid all kinds of risks it is bringing. To enhance the awareness of opportunities and risks, we should not only accurately recognize this great change, but also move forward with a scientific and rational attitude. At the same time, we should take the initiative to follow the trend, firmly grasp and make good use of this new strategic opportunity, and be good at turning crises into opportunities and capturing and creating opportunities for the development of cultural undertakings in all kinds of risk difficulties.

(A) all kinds of risks brought by generative artificial intelligence

In the development of generative artificial intelligence, we should effectively improve the ability of strategic thinking, dialectical thinking and rule of law thinking, and correctly understand the dual attributes of generative artificial intelligence.

Generative artificial intelligence not only brings unprecedented opportunities for innovation and development to cultural undertakings, but also forms various risks in many aspects. The risks brought by generative artificial intelligence include, but are not limited to: the process of generative artificial intelligence intensifies the risk of data leakage between individuals and countries, personal privacy is violated due to the collection of personal data, face theft, voice fraud, infringement of intellectual property rights, data and authority are monopolized by large enterprises, and international data ecological security governance is facing unprecedented challenges. In addition, generative artificial intelligence will also bring about problems such as the conflict between human rights and robot rights, the remolding of social morality and ethical norms.

(2) Actively respond to the challenge of generative artificial intelligence with the change of cultural training.

The basic connotation of new quality productivity is the leap of laborers, labor materials, labor objects and their optimized combination. Among them, the laborer is a core element. It is obvious that the new cultural productivity has changed and will change the demand for talents in the cultural industry.

For cultural workers, it is necessary to cultivate and enhance their self-skills and knowledge renewal ability in training. The training focus should be on cultivating cultural practitioners with curiosity and innovative spirit, interdisciplinary and interdisciplinary cross-disciplinary ability, and social communication ability to communicate and exchange emotional intelligence, especially the problem-solving ability in the face of various intertwined complex phenomena, human-machine integration and cooperation ability, continuous knowledge innovation and mode renewal thinking and ability, so as to provide richer possibilities and all-round development support for cultural managers and practitioners. In the training and study of cultural education, we should increase the knowledge reserve of future cultural development, change the so-called standardized training mode that is too single and "one thousand people have one side", cultivate the learning and thinking ability of cultural practitioners to adapt to and adapt to technological changes and constantly update their skills, so that the vast number of cultural workers can become individuals with unique skills and unique inspiration.

For the teachers of education and training in the cultural industry, it is necessary to form a brand-new knowledge structure that integrates education and information technology. Through the new cultural App and development platform, relevant tips are formed in human-computer interaction to help cultural practitioners generate more perfect cultural service content and products through the tools and methods of generative artificial intelligence. It should be pointed out that we can’t trust or rely too much on generative artificial intelligence, because it is likely to cause various kinds of work or psychological harm to people. For example, the development of "human-like" brings anxiety and worry to people’s psychology, which may stimulate or trigger immoral behavior, form a digital intelligence gap in artificial intelligence, and the excessive use of generative artificial intelligence will affect the formation of critical thinking, and so on. These potential risks need to be paid attention to in cultural education and training to avoid its possible negative effects.

(C) always put the human factor in the first place

In the continuous evolution of new technologies, is there any wisdom that can change constantly? To answer this question, we need to always put the human factor first. Because there will be errors in the content generated in the synthesis of huge amounts of data, the identification of the authenticity and the judgment of infringement ethics of cultural and scientific research products formed through editing and assembly, plagiarism and manuscript washing have to rely on human wisdom.

With the development of generative artificial intelligence, natural language processing in the cultural field is also undergoing tremendous changes, and its development trend is forming a symbiotic form of human natural language and artificial intelligence language. Because there are many and miscellaneous sources of existing research data, when high-quality and low-quality data are mixed together, artificial intelligence can easily learn "wrong data", which is wrong at the beginning, which will naturally affect efficiency and even accuracy, and intelligent recommendation algorithms can easily form an information cocoon with single and one-sided knowledge, which needs to play an irreplaceable role in human brain wisdom. Human-computer collaboration is undoubtedly the future development trend. At the same time, generative artificial intelligence also causes more problems in the reality of human body, voice and image, which requires technology and human wisdom to distinguish.

Under the background of great changes in the past century and the continuous updating and iteration of the new generation of information technology, the boundaries of generative artificial intelligence are constantly expanding, which will have a far-reaching impact on data security and even national cultural security. Therefore, it is necessary to reconstruct the generative artificial intelligence ecosystem in the national cultural field, achieve innovative breakthroughs in artificial intelligence algorithms, further strengthen data security and algorithm supervision, actively participate in the governance of international data ecology, and promote the formation of a community of world data ecological security governance.

Generative artificial intelligence is rapidly incubating the big model of this industry in the cultural field, and can be efficiently applied to various institutions and service scenes in cultural industries such as libraries, museums, art galleries, operas, music, dances, dramas and intangible cultural heritage. The rapid iteration of the new generation of information technology has promoted the development of new cultural productivity, and any new format generated from it is a process of continuous cultivation. This will constantly lead to changes in the development mode, development motivation, development field and even development quality in the cultural field, thus promoting high-quality development in the cultural field.

(The writer is a researcher at Institute of Information, Shanghai Academy of Social Sciences.)

Editor-in-Chief: Wang Zhen

Text editor: Wang Zhen

Author: Wang Shiwei

Source of the title map: upper view of the title map

Photo editor: Yong Kai