AI is booming, and students majoring in artificial intelligence are in a dilemma

AI is booming, and students majoring in artificial intelligence are in a dilemma

Recently, people have widely discussed the topic of "which occupations will be replaced by AI", among which technologies represented by large-scale AI models such as ChatGPT have caused a sensation. At the same time, some people in the industry and experts predict that AI models will gradually eliminate teachers due to their many advantages and advancements. There are also Internet tycoons who have publicly stated that they will enter the era of "everyone writes code"... In addition, as AI large models become a new outlet for the Internet, and a large amount of hot money pours in, the number of algorithm engineers and other related positions will increase. And the salary range has also increased accordingly. However, the confusion among students majoring in artificial intelligence is completely different from the phenomenon of fierce competition in AI.

According to Daily People, as of now, 498 domestic universities have successfully applied for artificial intelligence majors; in 2022 alone, higher vocational colleges have added 71 new artificial intelligence-related majors. In the context of rapid expansion of professional fields, there are a series of practical problems, such as late start, imperfect system, lack of teacher resources and hardware equipment, etc.

Besides the ivory tower, some people in the industry also admitted frankly that "the (artificial intelligence) team only recruits two types of talents, one who can write code and the other who understands AI." In other words, either "a ready-made senior "Technicians" who meet the recruiter's implementation needs and can be "recruited and used immediately"; or they are talented potential stocks, dedicated to R&D and breakthroughs.

In addition to the key AI talents from 985/211 and returnee elites, artificial intelligence majors in general colleges and universities have to face imminent worries such as "what to learn, how to learn, and what to do if they can't learn" in school. ; During the internship period, I have to face the long-term worries of "where can I go, what can I do, and no one wants me", and subjective confusion ensues. If you want to move forward, you need more effort; but if you take a step back, you will waste your youth and efforts, and you can only choose to take the postgraduate entrance examination or cross-professional examination.

So, an ironic scene emerged. Before artificial intelligence really began to eliminate jobs in society, it took the lead in "filtering" students in this major.

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