'Get a million-dollar annual salary offer from Google!” Be wary of crazy 'cutting leeks” in the AI ​​crash course

"Get Google's millions-a-year salary offer!" "The next high-paying industry, a monthly salary of 30,000 yuan!" With the popularity of ChatGPT, generative AI has become a market trend, and talent training in related skills has also become popular. According to media investigations, it has been found that many training institutions under the banner of getting rich are extremely active in order to coax "workers" to spend huge sums of money to sign up for studies.

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The application scenarios of artificial intelligence are expanding day by day, resulting in a significant increase in social demand-generating AI technicians. The latest statistical report shows that in March this year alone, the demand for domestic related positions increased by 42% month-on-month, among which core technical talents are "hard to find", and major companies frequently stage "wars to grab people." In addition to the surge in demand for talent, big names in the industry have repeatedly mentioned that "all industries in the future will be reshaped by AI", which has intensified the urgency of the whole society to pursue the trend. In recent months, various "phenomenal" applications have been launched following ChatGPT, vividly demonstrating the amazing productivity explosion of AI. Emerging technologies are leading the trend, and related training courses are booming. This is also an inevitable trend to comply with market demand.

But the question is, can the endless crash courses enable people to learn generative AI technology? It is not ruled out that a few have certain gold content, but most of them probably have far more gimmicks than content. For example, some training courses claim to provide technical research and development courses, but in fact they only use the GPT interface to teach how to use the interface. Regarding teachers, whether they are famous teachers, professional endorsements, or training institutions with a short registration time, they may be some dishonest "grassroots teams" who only want to make money quickly without regard to the interests of students. Judging from the feedback from students, they can at most understand the concepts and improve their skills. The rhetoric of finding a job in a big company and a million-dollar annual salary is simply unreliable. There are many people who spend time and money and get nothing in the end. In fact, generative AI technology mainly involves natural language processing and algorithms, and the technical barriers are quite high. If you want to catch up, even if you have a major, you have to calm down and recharge. For ordinary people who lack knowledge reserves, it is almost impossible to expect to obtain "technical dividends" through high-priced crash courses

The false popularity of AI crash courses is also the epitome of the hot spots in the training field in recent years. Whenever something new emerges in the industry, from big data to blockchain to generative AI, various training courses will always pop up. The people standing on the stage may be the same people, and their dazzling packaging and promotions are just selling the same thing. In fact, there is no essential difference. We must step up efforts to crack down on those shady institutions that create gimmicks, deceive and defraud, and at the same time, we must also think deeply about why some people are always being harvested. Does it also cater to the impetuous psychology of some people?

If in the early days of the Internet, you could make quick money by learning some superficial knowledge and developing information gaps; then as we enter the "second half" of network innovation, market competition is becoming increasingly full and the technological content of the industry is increasing. It’s hard to get ahead by simply “playing with concepts” and “creating models”. To avoid becoming a "leek", you should reduce unrealistic fantasies and do more practical things at this time.

(Original title: Beware of crazy “cutting leeks” in AI crash course)

Source: Beijing Daily reporter Fan Rong

Process Editor: U022

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