Ma Yun once said that the core of business in the next 3 years lies in creativity. Therefore, many things have changed. The way we educate our children can't just teach knowledge, because machine learning knowledge is faster. With the application of artificial intelligence in various fields, it greatly facilitates our life and improves work efficiency. However, we will face a very realistic problem. Part of our work is gradually being replaced by artificial intelligence. Mechanical, repetitive and stylized work will be replaced by artificial intelligence in the future, and it is undoubtedly a realistic problem that the low-level labor force will face the threat of unemployment.

in fact, some assembly lines are slowly being replaced by machines. Let me give you some examples of jobs that are easily replaced:

Translation. It used to be one of the employment directions for many language graduates, but in the wave of artificial intelligence, Google introduced the neural machine translation system, and the translation software developed by Iflytek and other companies has been close to 8% accuracy. It is conceivable that in the future, low-end translation will be completely replaced, even high-end simultaneous interpretation and cross-interpretation will be greatly impacted, and it is becoming more and more difficult to eat only by one language.

insurance insurer. There is a risk of being replaced by automation, because applications can be standardized and most companies have established rules to determine qualifications. Machine learning can help computer systems learn these rules and apply them to application review. 3.? Customer service center. At this point, most people are familiar with automated customer service calls and telemarketing. Using natural language processing and answering telephone lines automatically can better understand what customers say and guide customers correctly. There is usually an option to choose "real people" to answer, but this position will also be eliminated in the next few years.

We have evolved for hundreds of millions of years. In the process of evolution, the ability to give priority to evolution is unbounded random ability. In order to get this ability, we have thrown away speed, efficiency, reliability and order, but it is also this ability that enables us to produce enough new strategies that are useful enough, so we can now stand at the top of the food chain of this planet. Machines can't produce new situations in precise thinking mode, which is qualitatively different from us, so they can't replace us.

There are many things about machines and our world that we haven't discussed, and there are many things that we haven't discovered yet. To understand these things and make good use of them, we need to base ourselves on facts, observe and analyze from the actual situation, and we must have a deeper understanding of the world in order to better adapt to it.