The rapid development of large-scale model will inevitably have an impact on the professional setting in the field of education. Education serves industry, and education is also a barometer of industrial development. In recent years, there are more and more majors related to computer and artificial intelligence, which can explain some problems.
However, the specialty setting of colleges and universities has been lagging behind the social development, and it should not change much in the short term. After all, even if you want to change, there is still a process for teachers to update themselves.
From the existing practice, AIGC can indeed be used to perform some basic repetitive work, so that people can have more time to engage in creative and complex tasks. Therefore, it may indeed have a certain impact on the professional setting of colleges and universities.
As for the impact on specialty setting, I don't think it will be too great, because most traditional and basic majors will definitely still exist, and at most, the teaching objectives and methods may change accordingly.
For example, some majors may need a lot of data processing or complex calculations, which can be completely done by AIGC now. In this way, people who have done these jobs can concentrate more on solving more complex and challenging problems. Then such changes may lead to the need for colleges and universities to adjust their professional settings.
Some majors may need to adjust their courses to adapt to the application of AIGC. For example, in a major, it may be necessary to join courses related to AIGC to cultivate students' necessary skills for cooperation with automation systems and intelligent technologies.
Of course, some new majors will definitely be opened in the future, just like a group of colleges and universities gathered together in the past few years to open majors in the direction of big data, and there are also popular directions such as e-sports. It is estimated that in a few years, we will see the emergence of majors in the direction of AIGC.
For example, disciplines related to AIGC, such as artificial intelligence, machine learning and data science, may be provided by universities according to market demand and students' interests. At the same time, the application of AlGC may lead to the automation and intelligence of some basic repetitive work in some occupations. Therefore, it may be important for colleges and universities to re-evaluate courses and pay more attention to cultivating students' ability to cooperate with automation and intelligent technology.
I guess there may be a related major that specializes in training prompt engineers in the future, something similar to "natural programming language major". The research of software and hardware related neck technology involved in AIGC itself is transformed into soft "language" training.
It remains to be seen whether new things have such strong vitality.
Take the text generated by AI as an example. For example, ChatGPT can indeed publish articles in minutes according to the needs of your Wang Pei group, but will this affect the professional setting of Chinese language and literature?
Obviously not! To take a step back, the words written by Ai can only be regarded as a means of production, not as works of art, and to some extent, they cannot completely replace the works of writers. Because the text it writes has a strong machine color, orange color, little emotion and no emotion, it completely turns the text work into an assembly line project to maintain accuracy.
As some low-end marketing copywriting, or online texts with low gold content, it is still possible, but as works, it is almost meaningless.
But on the other hand, the requirements for graduates have indeed become higher. Although AIGC will not affect the major setting in colleges and universities in the short term, it will definitely affect the employment rate of related majors, especially some basic repetitive work.
Therefore, the greatest competitiveness of future graduates should be in thinking, especially innovative thinking and tool use thinking.
Finally, with the development of artificial intelligence technology, some new majors may appear, such as artificial intelligence engineers and data scientists, but this will not lead to the disappearance of existing majors.