Is there no successor in the AI ​​academic community? College graduates are entering the factory one after another, and they are all very popular.

AI is popular, and those who engage in AI are popular.

No, according to a recent interview with Insider, technology companies are stealing people from powerful schools such as Stanford, MIT, and Cornell University.

College students working on AI projects have all become popular.

In fact, not only are college students in these majors sought after by everyone, but these technology companies are also very popular among college students.

The pay is good, the prospects are good, and the company atmosphere is good, why not go.

One of the students interviewed said, "Tesla's activities are really attractive and they put a lot of energy into it."

Two-way match?

From a student's perspective, every time a period of time, basically every ten years, there will be a technological turning point. As a result, college students will flock to popular industries.

In the Internet age, countless college students are flocking to computer majors. In the Web3 era, countless college students are choosing to study currency and blockchain courses.

And today’s era undoubtedly belongs to AI. A large number of college students are rushing towards AI-related majors, hoping to embrace the blue ocean of the AI ​​market as soon as possible and become the first batch of people to keep up with the pace of AI development.

In interviews with Insider, more than a dozen university professors, students, recent graduates and industry experts said that as more and more companies begin to compete for dominance in the AI ​​market , they also set their sights more on university campuses.

From the company's perspective, they do everything they can to attract outstanding college students.

In job postings, companies promise college students high salaries, opportunities to collaborate with top industry players, and sufficient resources to advance research.

Behind such generous conditions is the craze for joining technology companies. At the same time, the enrollment rate of AI doctoral students in some universities has dropped.

The student body is getting smaller, says the chair of Cornell University’s Department of Computing and Information Sciences. It is necessary for many students to think deeply about whether they should give up their career in academia and turn to Silicon Valley to seek a place.

Attaluri, a master of engineering at MIT, said that as soon as the fall semester began, recruitment information started pouring in. Within a few months, she secured a job at DeepMind.

The same is true for many students at Cornell University. As soon as they returned to school after the summer vacation, they participated in the fall recruitment non-stop and started working directly in the next spring.

However, those students who insist on continuing to study for a Ph.D. only become more calm. The professional knowledge they learned at the postgraduate level is more favored by headhunting companies.

These Ph.D. students receive job postings throughout their Ph.D.s, but they resist the temptation, said a professor in Cornell University's computer science department.

The same is true for doctoral students at Stanford University. They often receive offers from startups or other technology companies, encouraging them to drop out of school and join the job directly.

The CEO of Moonhub said that he had just withdrawn from the AI ​​doctoral program at Stanford University to concentrate on running Moonhub.

Some companies are very eager to have graduate students to join the company, and even offer flexible working conditions - you can go to school and work part-time at the same time.

Part-time salary can reach 350,000 US dollars a year, let alone full-time salary, which is almost 500,000 US dollars a year.

According to the 2023 AI Index report from Stanford University’s Institute for Human-Centered AI, the number of AI PhD graduates working in companies in 2021 is twice as many as the number of people continuing to engage in research in academia.

But high salary is only one factor.

Some professors and students say they believe working at a company provides better exposure to real-world research.

Technological trends never stop

But if we delve deeply into the underlying reasons why technology companies recruit talents, they often do not focus solely on promoting technological development, but just think about pressing matters. Follow the trend and fear being left too far behind by other companies.

For example, after ChatGPT came out, every technology company with some basic knowledge began to develop its own model. For fear of being slow at one step or slower at every step, everyone was busy handing in papers for fear of being eliminated by the times. Dumped on the beach.

There are also other companies that have taken a different approach and developed their own applications relying on the high performance of third-party large language models such as GPT-4.

In a survey, researchers found that among a total of nine industries, including banking, insurance, government and retail, the biggest talent shortage is AI and deep learning. directional.

Last year, MIT added a new major in AI and decision-making, and Harvard University also opened a new institution to study AI (the founding funds came from Meta founder Zuckerberg and his Wife’s investment), Cornell University has also opened two new minors related to AI.

A student majoring in CS and AI at Stanford University said that he has observed that his classmates are becoming more interested in AI. They set up new entrepreneurial clubs or chat rooms, and actively participated in the school's natural language processing courses.

Finally, a professor at Carnegie Mellon University said that when the AI ​​project was launched four years ago, most jobs were only for master's or doctoral students. But now, with the expansion of technological trends, more courses have entered the undergraduate level, and more recruitment companies have opened recruitment opportunities to undergraduates.

At the end of the interview, Eyzaguirre said, "I am still in the second year of my PhD. After graduation, whether I will work in a company or continue to take root in academia, I have not yet decided decided."

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