Shulou(Shulou.com)11/24 Report--

Introduction: in today's article, I would like to talk to you about ChatGPT.

Recently, ChatGPT has become popular all over the network, which has aroused the strong concern of the whole society.

This chat robot from OpenAI shocked everyone by showing an extremely unnatural level of artificial intelligence.

(chat, which means "chat" in English) in fact, human beings are psychologically prepared for the ability of artificial intelligence (hereinafter referred to as "AI").

For decades, many of the film and television works we watch are related to AI. In these works, AI shows more powerful ability and gives us a vaccination.

Gaze from MOSS (stills of "wandering Earth 2") the main reason why ChatGPT brings public opinion shock is that people think that AI will develop slowly, no one thought, it "call", there is a "triple jump", instantly stronger.

The rise of ChatGPT, in addition to shocking, also brought two feelings. One is exhilaration, the other is worry.

ChatGPT can do a lot of work, especially those that previously required a real person to do. For enterprises, it can save a lot of labor costs, improve efficiency and enhance competitiveness.

For more ordinary people, their jobs are likely to be snatched by AI, resulting in layoffs and unemployment.

In the past, it was a roll of people and people. In the future, in addition to and human volume, but also with a more powerful AI volume. (picture from "The New Yorker") each of us should seriously think about how to deal with the rise of AI:

What changes will take place in your industry under the influence of AI? Is it possible for your job to be replaced by AI? If it will be replaced, how to deal with it? In addition to replacing the relationship, can you try to harness it and use it for your own use?

In today's article, Xiao Zaojun tries to analyze how ChatGPT and the AI wave behind it will affect us from the point of view of the correspondent.

The impact of █ on the communications industry from a macro point of view, the explosion of ChatGPT is a great benefit to the communications industry.

In previous articles, I have repeatedly said that AI is the product of the development of computing power to a certain stage. The reason why AI is now leaping by leaps and bounds is supported by arithmetic behind it.

The outstanding performance of ChatGPT will certainly inject another shot in the arm into the global computing construction. Computing infrastructure such as data centers, as well as computing technologies such as chips, servers, and cloud computing, will continue to receive a lot of investment and move forward rapidly.

As the best partner of computing power, connectivity (communication technology) will certainly develop with the acquisition of resources.

Where there is computing power (data calculation, storage), there must be communication (data handling). Data is one of the three elements of AI. Mobile technologies such as 4G and 5G, as well as all-optical transmission networks, are responsible for connecting terminals to terminals, terminals to clouds, and clouds to clouds. This will provide a huge amount of data for AI.

In recent years, the convergence of computing power and network has led to the convergence of cloud network and computing network. Computing power network serves for computing power, and computing power serves AI. Once AI takes off, communications can at least have soup, even if they can't eat meat.

Communication technology helps the development of AI, in turn, AI also helps to further improve communication technology.

The landing of AI in the field of communications has already begun a long time ago.

In 2018, Xiao Zaojun saw a presentation of relevant research results at MWC (World Mobile Congress). In recent years, there have been more and more similar displays and higher maturity, and many of them have begun to carry out pilot projects.

At present, the AI enabling communication network mainly focuses on the following aspects:

1. Wireless network optimization

Network optimization is an important work in the construction of mobile communication network. The traditional network excellent, all is the network excellent engineer unifies the personal experience, plus some tool assistance, manual completion. After the introduction of AI, the data processing of network signal quality will become more efficient, and the optimization scheme can be output faster.

Some people imagine that if unmanned vehicles and drones are allowed to run around and collect signal quality data, then the work of road test can also be unmanned and the network can be self-optimized.

2. Algorithm enhancement

Nowadays, communication research and development is becoming more and more difficult, and algorithms (such as high-order modulation algorithms) are becoming more and more complex. The introduction of AI can help improve the efficiency of the algorithm, or help to find a better algorithm to improve the performance of the communication network.

3. Network scheduling and routing

This is mainly caused by the transmission network. In previous IPv4, routing and packet forwarding were inefficient. Now, the industry is engaged in IPv6 and SRv6, including SDN, in order to improve the "traffic efficiency" of the network and centrally manage routes.

Who will manage after centralization? AI management, of course. If there is link congestion and interruption, AI can switch at the first time to achieve zero awareness.

4. Self-healing of network failure

This is also a hot direction for AI. Through the study of a large amount of network fault data, AI can quickly determine the cause of the fault based on the fault phenomenon, either submit it to the human engineer or intervene directly. Direct intervention can also achieve the user's spiritual perception of the fault.

5. Network energy saving and emission reduction

Saving electricity is saving money. Now that there are so many base stations and so many data centers, the load demand is always changing. Combined with AI, automatic power adjustment or even shutdown of communication equipment can greatly reduce equipment energy consumption, carbon emissions and electricity input.

Compared with ChatGPT, the actual progress of these AI applications is not so advanced. However, no one knows, maybe one day, some manufacturer will suddenly throw out a super-powerful AI robot, completely upending a certain job, or even the whole industry?

The advantage of AI is to analyze huge amounts of data, find potential rules, make suggestions, or make decisions directly. The communication industry has a high degree of digitization, and there is data everywhere, so there are a lot of jobs suitable for using AI.

The impact of █ on communicators next, let's take a closer look at how ChatGPT and AI will affect each of our correspondents.

After thinking about it carefully, Xiao Zaojun found that there are two kinds of people in the communications industry who are least likely to be replaced by AI. The first is pre-sales market personnel, and the second is front-line workers.

Pre-sales marketers belong to those who deal with customers face to face. It is obviously inappropriate for you to send a robot to do business with government or corporate customers (no drinking, socializing, health care). Especially in China, it is a relational market, there is no good customer relationship, there is no way to do business. Therefore, it is difficult for AI to replace people who have key customer resources.

However, the work of providing pre-sales support can be handed over to AI.

For example, ChatGPT can help write proposals, bids, and some formal text work. For example, when marketing personnel conduct market analysis and marketing strategy formulation, they can use AI to analyze the market situation (sales volume, preferences, satisfaction, etc.) and provide decision-making suggestions.

Front-line workers, that is, people who do manual work on the spot.

The environment of the project site is more complex. I think it is more difficult to achieve complete unmanned mechanization in the short and medium term. The survey, installation and transportation of the site still need to be done by people. To tell you the truth, it's not that this kind of work is so advanced, it's mainly because the cost of people is low.

Some front-line work that does not involve complex operations will be gradually replaced by AI. For example, the network optimization mentioned above, and then, for example, the commissioning and testing of the equipment.

In the earliest days, the opening of the equipment was the configuration data of the engineer. Later, with scripts, you can batch import data. Now, the simple data are distributed by the higher-level network management and configured automatically. In the future, the data distributed by the system are planned and configured by AI.

Network maintenance, as mentioned earlier, is likely to make extensive use of AI. In the future, AI is responsible for monitoring and maintaining the network. If there is a problem, AI gives the order, and then the human engineer goes to work (such as changing the hard drive, fiber optic, veneer).

In terms of network performance indicators, the biggest difference between human engineers and AI is that AI gives the results according to the data, while human beings can give the data according to the results. This is quite NB, irreplaceable. ^ _ ^

The work of R & D is also greatly influenced by AI. As you can see, the current ChatGPT is already qualified for the work of junior programmers. In the future, its ability to write code will become stronger and stronger.

This forces R & D personnel to constantly improve their abilities, to be more innovative and more creative. Those research and development that make up the number is more dangerous.

In fact, children's shoes who have done research and development work all know that to write a program, not every line of code is written from scratch. Simple modules are called directly. The key part is to write it yourself.

Now we all talk about low code development, or even zero code development. In the future, maybe human beings only need to give their own ideas, and it is quite possible that part of the code will be completed by AI.

All in all, the rise of AI poses a greater threat to office jobs. Then positions that deal with people, as well as positions that require practical and complex operations, are relatively safer.

Now many companies have a group of "old-age" people who sit in front of the computer every day, collect data, draw tables, write PPT, and write reports. These people are most likely to be killed by AI and hope to take care of themselves.

Well, the above is a little personal opinion of Xiao Zaojun.

The rise of AI is the trend of the times. The emergence of ChatGPT has sounded the alarm for each of us. AI is not far away. It is constantly learning and improving. As human beings, there is no reason not to learn or make progress.

When the times abandon you, you don't even say hello. isn't it?

This article comes from the official account of Wechat: fresh Jujube classroom (ID:xzclasscom), author: Xiaozaojun

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.