Home Technology peripherals AI Robin Li: Artificial intelligence will not replace human work | A direct look at the World Intelligence Conference

Robin Li: Artificial intelligence will not replace human work | A direct look at the World Intelligence Conference

May 31, 2023 pm 04:47 PM
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Robin Li: Artificial intelligence will not replace human work | A direct look at the World Intelligence Conference

Baidu CEO Robin Li. Photography by cover news reporter Su Yu

Cover News Reporter Su Yu Tianjin Report

"I am not worried that large models will lead to a reduction in human job opportunities. When we stop innovating, do not invent, create, or progress, and continue to follow inertia, the various unpredictable risks brought by it are the greatest risks for mankind. threat." Baidu CEO Robin Li said.

Co-sponsored by the National Development and Reform Commission, the Ministry of Science and Technology and other departments, and the Tianjin Municipal Government, the 7th World Intelligence Conference opened in Tianjin on May 18. According to Robin Li at the Innovation and Development Summit, artificial intelligence will not replace human work, but may instead bring about the next growth miracle of the global economy. Every technological revolution simultaneously eliminates some jobs and creates more new job opportunities.

Robin Li believes that the development direction of artificial intelligence is from discriminative to generative. Currently widely used artificial intelligence applications, such as face recognition and search engines, are basically based on recognition and classification functions. "In the past, artificial intelligence taught machines whatever skills they wanted to learn. Those who have been taught may be able to do so, but those who have not been taught may not be able to. After the so-called emergence of intelligence appears in large models, skills that have not been taught before will be I can."

According to Robin Li, the development of the information industry has experienced three changes in human-computer interaction methods in the past few decades. When he was in graduate school, human-computer interaction was through the command line. The graphical user interface (GUI) is more friendly than the command line, but it is still not the most natural way of interaction. The birth of artificial intelligence allows people to interact with computers using natural language.

He believes that big data, big computing power, and big models have led to the emergence of intelligence. At the same time, artificial intelligence has undergone a directional change, from discriminative AI to generative AI. Big models also redefine human-computer interaction, redefining marketing and customer service. Any company that has the best way to communicate with customers will have customers.

The huge changes that artificial intelligence has experienced are not only the changing scenarios in which it is applied, but also the more fundamental changes in the technology stack. Robin Li said that the current IT technology stack has become four layers, and the bottom layer is still the chip layer, but the main chip is no longer the CPU, but a new generation of chips represented by GPU that are suitable for parallel large-scale floating point operations.

According to Robin Li, many research institutions believe that in the next ten years, the efficiency of many jobs will increase exponentially. Whether this efficiency improvement will cause many people to lose their jobs has also caused some concern

"Artificial intelligence brings about an industrial revolution, just as coachmen were replaced in the past, but new professions emerged. Thirty years ago, the job of typists disappeared, replaced by the emergence of jobs such as network engineers and game development. According to Robin Li As said, the automobile industry has now become one of the largest industrial systems in the world and has created hundreds of millions of jobs. In China alone, 30 million people are engaged in automobile-related jobs.

He expressed his expectation that in the future, based on large models, various applications in all walks of life will be able to find good application scenarios and achieve significant improvements in efficiency.

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