Xinjiang
The term “word” marks a new economy with token as a value vehicle. With the rapid growth of intelligence and its application to scale, the word economy has given rise to it. In the meta-economy, based on the structure of the meta-data type, as well as ai algorithms and energy, large models and intelligent “brain”, scene apps (user or demand-side) have instantaneous knowledge services. This will change the world, the socio-economic, business organization, the family and the individual, and has attracted political, industry and academic attention。
There is an urgent need to explore theoretically in the face of the exponential growth in the scale of the terminologies and the emergence of new scenarios, changes and problems that are unprecedented. The following is a review of the economic origins of the words, the economic characteristics of the words and the construction of the theory of the economics of the words, based on past knowledge of the knowledge economy, and learning from recent articles on the economics of the chinese economic times。
Origin of meta-economics
The meta-economics do not emerge in a vacuum; it is the inevitable development of the knowledge economy。
The concept of the knowledge economy originated in the 1980s, when paul romel introduced the “new theory of economic growth” in 1983, incorporating knowledge into the factor function of production. In 1990, the concept of “knowledge economy” was officially introduced by united nations research institutes. The organization for economic cooperation and development (oecd) report on the knowledge-based economy in 1996 identified the “knowledge economy” as an economy based on knowledge production, distribution and use, marking the emergence of a knowledge economy。
In the knowledge economy, knowledge is first discovered or created by human brain labour, but can be absorbed, replaced or eliminated by newly created knowledge. Knowledge becomes the first element and can be reused. In the production of knowledge products (or the provision of knowledge services), i. E., the materialization or vectorization of knowledge, in addition to the inputs necessary (or a small number of necessary) other elements, the knowledge input in traditional products (or services) is increasing, adding to or adding to the functions of the product (or service), especially as knowledge (value) represents an increasing proportion of the total value of the product (or service) and the traditional product (or service) becomes a knowledge product (or knowledge service) when the weight is higher than a certain threshold (e. G. Over 60 per cent). In particular, the knowledge invested creates new products (or services) or new knowledge products (or new knowledge services). In knowledge-based economic practice, the post-industrial economy, the information economy, the high-technology economy, the internet economy, the digital economy, the intelligent economy, and different forms of the knowledge economy, such as law, accounting audit taxes, patent firms, intermediaries in productive science and technology services, and intellectual knowledge services, have emerged. Preliminary intellectual economics theories have been developed in knowledge economy research。
The essence of the knowledge economy is knowledge innovation and its application. With the development of digital technology, especially ai's intelligence body, the origin of innovation is extended from the human brain to the ai's "brain", from the human brain to the entire ai class, from hard to soft knowledge to ai's knowledge generation, and from industrial products (services) to all industry, sector and organizational knowledge products (services) to all ai class knowledge services. Given that knowledge includes knowledge directly discovered or created by a person's intellectual work, such as the discovery of knowledge of natural sciences (regulative), technological principles or patterns of social phenomena, it also includes knowledge spilled by human intellectual work to create technological instruments or systems of digital intelligence or to engage in social practice activities (research) or indirectly discovered or created, such as knowledge generated by ai, information, data, etc. It is the evolution of knowledge, especially intellectual innovation and its applications, that has given rise to a meta-economy。
Characteristics of characteristics economy
The meta-economics are derived from the knowledge economy and form the highest-level intellectual innovation and its application. The word economy is the most recent high-level pattern of the knowledge economy, and more so of the knowledge services sector. As a result, the meta-economics have a distinct intellectual identity of people living in synergy with ai, particularly intellectual innovation and its application。
First, the word economy naturally has fundamental attributes of the knowledge economy, such as the classification of knowledge, the relationship of knowledge information data, the classification of knowledge products and knowledge services, the cost value and price utility of determining the supply-demand relationship, which are more characteristic of the knowledge services sector, the production and non-production, the type of supply-demand (functionality, curve) and the number of supply-demand (functionality, curve), the type of consumption and number of consumption, and the marginal gains from knowledge。
Second, the usual knowledge services are large and light assets, with little investment in technical hardware and software facilities, relying mainly on human intellectual labour, providing knowledge services based on limited theoretical methods, documentary data experience, legal and regulatory policies, and field surveys, through the use of common models for local analysis, insights into practical research prognosis and knowledge services。
Compared to the usual knowledge services, the meta-economics are huge assets, such as neuro-network structures such as transformer, large models of language and physics, application interfaces (api) and technological hard software facilities, which are heavily invested in providing knowledge services based on ai simulation of brain work, on all relevant theoretical methods, documentary data experience, legal and regulatory policies, and on-the-ground electronic sensing surveys, through ai simulations of intelligence using large models for comprehensive learning and training analysis, insights into practical research prognosis and knowledge services。
As can be seen, the usual knowledge services sector is the high-priced form of the knowledge economy, which is the highest form of the most advanced intelligent technology in the knowledge services sector. The human brain extends to the ai brain, but the conscious, unconscious ai determines that the human brain coexists with the ai brain, and that the word economy based on the ai brain is complementary to the knowledge services based on the human brain。
Thirdly, and more importantly, the meta-economics are characterized by a distinct “symbiotic synergy between people and ai” in comparison to the usual knowledge services. Ai smart technologies, from digital to physical intelligence, present both human and ai intelligence as the latest knowledge innovation technology; as the most recent knowledge innovation class, have irreplaceable human beings and present both human and ai subjects; as the latest knowledge innovation, they have the ability to accurately and instantaneously apply the vast amount of knowledge in the history of all human beings, as well as the ability to generate open and open sources, new knowledge, especially the vast amount of knowledge services, to present the human and ai “brain”; as the most recent knowledge innovation application, they offer the ability to become and meet the needs of all, and present the dualism between human and ai supply and demand, and, on the one hand, the fixed cost of building meta-structures is enormous, affecting the availability of the word in terms, especially where the supply is easily monopolized and the supply gap is greater. But the word call is a demand for all, open to the demand side and huge demand. On the other hand, the real price of word calls is lower to the variable cost of unit transfers is becoming smaller and even zero. But the price of the transfer cannot be high, otherwise it will not benefit all. Low prices do favour the demand side, but it is difficult to support the operation of supply-side maintenance equipment. As the learning and training capacity surges, much less the level of technology, operation and efficiency on the supply side, it is difficult to generate good feedback on supply and demand, all of which exacerbates the supply-demand paradox and may lead to a huge gap between supply and demand; as the latest value of knowledge innovation is created, with sufficient word calls, the ability to provide instant-time, business- and social-value-based knowledge services from users, with added value to ai. On the one hand, the user's instructions differ from the “directions” of demand in a normal service such as hairdressing or legal services, and are continuously reciprocated, with a high knowledge content and integrated into the creation of the value of a knowledge service; on the other hand, the instructions and knowledge services add to ai learning and training capacity and spill out value to create added value. While the value of knowledge services is created with uncertainty or even difference. The value creation of successive feedback instructions and knowledge services is significant. It is therefore important not to lose sight of the added value of human beings to ai. The dividends of the meta-economics cannot be held hostage to capital and need to benefit every person created by the value of participation. The word economy is really an inclusive economy. The development of meta-economics is an inevitable option for achieving common wealth。
It can be seen that all knowledge services are covered by the knowledge services provided by the word economy. It is foreseeable that, with the breakthrough of silicon-based intelligence to carbon-based intelligence, the deepening of human-based hard and soft knowledge and the deepening of ai-generated knowledge, the word economy, such as the knowledge economy, will converge with the intelligent economy。
Theoretical construction of the meta-economics
The study of meta-economic theory is lagging behind in the economics of words. The distinct “human-ai symbiosis” feature of the hyphenological economy is challenging, destabilizing and creative in exploring fundamental issues of economics such as deciphering the knowledge economy, such as the definition of “production” of knowledge in knowledge services, the sharing of depreciation and cost measurement, value measurement and distribution, and the distribution of prices, profits, utility decisions, etc。
From the analysis of the relationship between the economics of the words and the knowledge economy and the knowledge services sector above, we do not need to start from scratch to construct the theory of the meta-economics. There is a real need for the theory of economics as the bottom-up framework of the theory of the knowledge economy, the theory of the knowledge economy as the bottom-up logic of the term-economics theory, which is based on the theoretical framework of economics and follows the logic of the knowledge-based economy and evolves into the theory of the meta-economics in terms of inheritance and innovation. In other words, on the basis of the continuing in-depth study of the theory of the knowledge economy, the theory of the meta-economics should be inherited from the general context of economics (means), from the framework of the construction of innovation, from the general scenario of the knowledge economy (means), from the logic of the construction of innovation, especially from the signs of the high-level characteristics of the meta-economics, and from the questions raised by chen bo researcher in the chinese economics times on 21 april 2026, which will lead to the continuous exploration of innovations, which will lead to the progressive refinement of the monothematics of economics, the enrichment of the theories of development economics, the development of intellectual economics, and the development of valuable theoretical guidance for meta-economic practice。
(professor, business school, beijing university of information technology)
