Jan Lacan, one of the influeial figures in the field of artificial ielligence and former chief scieist of Meta, has some ieresting advice for those computer science studes who wa to eer the field of AI.
According to Business Insider, Lacan says: “If you are a computer science stude and only take the minimum required math units in a typical computer science curriculum, you may have trouble adapting to the big changes in technology.”
Computer science studes should focus their time on more fundameal areas
Lacan, who is a professor of computer science at New York University (NYU), recalled in a rece podcast that he sometimes describes himself by saying, “I’m a computer science professor who argues against studying computer science.” This talk refers to his emphasis that studes should devote their time to more fundameal and deeper areas.


Of course, Lacan clarifies that he did not mean that young people should refrain from choosing the field of computer science; Rather, he waed to say that instead of taking courses about trendy technologies, the largest number of units should be allocated to fundameal courses (such as mathematics, physics or electrical engineering).
The former Meta AI scieist added that his advice to studes is to learn things that have a long shelf life. He also said that depending on computer science curricula, not all of these skills are necessarily included in a college degree.
Lacan said about this: “What we have to do is to somehow learn the basic foundations in mathematics and modeling; Mathematics that can be connected to the real world. “Usually, you learn this type of material in some universities in engineering fields that are related to computer science, such as electrical engineering, mechanical engineering, etc.”
However, universities and computer science studes are still grappling with the question of how to adapt their educational programs to the era of generative artificial ielligence and age-driven artificial ielligence. Earlier this year, “Honey Farid”, a professor at the University of California, Berkeley, poied out the difficulties that today’s studes face in finding a job.



