Introduction: In this article today, I want to talk to you about ChatGPT.
In recent times, ChatGPT has become popular all over the Internet, arousing strong attention from the entire society.
This chatbot from OpenAI company showed an extremely high level of artificial intelligence, which shocked everyone.
(chat means "chat" in English)
In fact, for artificial intelligence (hereinafter referred to as "AI") Human beings are mentally prepared for their abilities.
For decades, many of the film and television works we have watched are related to AI. In these works, AI has shown more powerful capabilities, which has given us a vaccination.
Gaze from MOSS (Stills of "The Wandering Earth 2")
The reason why ChatGPT has shocked public opinion this time is that it is more The main reason is that - people thought that AI would develop slowly, but no one expected that it would make a "triple jump" with a "whir" and become stronger instantly.
The rise of ChatGPT, in addition to being shocking, also brings two feelings. One is exciting, the other is worrying.
ChatGPT can complete a lot of work, especially some tasks that previously required real people to complete. 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 taken away by AI, resulting in them being laid off and unemployed.
In the past, it was people and people.
In the future, in addition to playing with people, we will also play with more powerful AI.
(Picture from "The New Yorker")
Each of us should seriously think about how to deal with the rise of AI:
The industry we are in has What changes will occur under the influence of AI? Is it possible that your job will be replaced by AI? How should you deal with being replaced? In addition to replacing the relationship, can I try to control it and use it to my own advantage?
In today’s article, Xiao Zaojun, from the perspective of a communicator, tries to analyze what kind of impact ChatGPT and the AI wave behind it will have on us.
From a macro perspective, the popularity of ChatGPT is a major benefit to the communications industry.
In previous articles, I have repeatedly said that AI is the product of the development of computing power to an inevitable stage. The reason why AI is making rapid progress is that computing power is supporting it.
The outstanding performance of ChatGPT will definitely inject another boost to the construction of global computing power. Computing infrastructure such as data centers, as well as computing technologies such as chips, servers, and cloud computing, will continue to receive large amounts of investment and develop rapidly.
As the best partner of computing power, connectivity (communication technology) will definitely also gain resources and develop together.
Where there is computing power (data calculation, storage), there must be communication (data transfer).
Data is one of the three major elements of AI. Mobile technologies represented by 4G, 5G, etc., as well as all-optical transmission networks, are responsible for connecting terminals to terminals, terminals to clouds, and clouds to clouds. This will provide AI with massive amounts of data.
In recent years, computing power and network have been integrated, creating cloud network integration and computing power network. The computing power network serves computing power, and computing power serves AI. Once AI takes off, communications will at least provide soup, if not meat.
Communication technology helps the development of AI, and in turn, AI also helps communication technology to further improve.
The implementation of AI in the field of communications has already started very early.
In 2018, Xiao Zaojun saw relevant research results displayed at MWC (Mobile World Congress). In recent years, there have been more and more similar demonstrations, and their maturity has become higher and higher. Many of them have already begun piloting.
At present, AI empowers communication networks, mainly focusing on the following aspects:
Network optimization is an aspect of mobile communication network construction Important work. Traditional network optimization is done manually by network optimization engineers combined with personal experience and some tool assistance. After the introduction of AI, data processing of network signal quality will become more efficient, and optimization solutions can be output faster.
Some people also imagine that if unmanned vehicles and drones are allowed to run around and collect signal quality data, then the work of road testing can also be unmanned, truly realizing network self-optimization.
Nowadays, communication research and development is becoming more and more difficult, and algorithm potential tapping (such as high-order modulation algorithms) is becoming more and more complex. The introduction of AI can help improve the efficiency of algorithms, or help find better algorithms to improve the performance of communication networks.
This is mainly caused by the transmission network. The previous IPv4 had low routing and packet forwarding efficiency. Now, the industry is working on IPv6 and SRv6, including SDN, in order to improve the "traffic efficiency" of the network and conduct centralized management of routing.
Who will manage after centralization? Of course it is AI management. If link congestion or interruption occurs, AI can switch immediately to achieve zero awareness.
This is also a popular direction of AI. By learning from massive network fault data, AI can quickly determine the cause of the fault based on the fault phenomenon and either submit it to human engineers for processing or directly intervene on its own. Direct intervention can also achieve the user's intuitive perception of the fault.
Saving electricity means saving money. There are so many base stations and data centers now, and load requirements are always changing. Combined with AI, the power of communication equipment can be automatically adjusted or even shut down, which can significantly reduce equipment energy consumption, reduce carbon emissions, and reduce electricity bills.
Compared with ChatGPT, the actual progress of the above-mentioned AI applications is not that advanced. However, no one knows, maybe one day, a certain manufacturer will suddenly throw out a super awesome AI robot, completely subverting a certain job, or even the entire industry?
The advantage of AI is to analyze massive data, find potential patterns, put forward response suggestions, or make decisions directly. The communications industry is already highly digitized and data is everywhere, so there are a large number of jobs suitable for AI.
Next, let’s take a closer look at the impact ChatGPT and AI will have on each of our communicators.
Xiao Zaojun thought about it carefully and found that there are two types of people in the communications industry who are least likely to be replaced by AI. The first type is pre-sales market personnel, and the second type is front-line workers.
Pre-sales market personnel are people who deal with customers face to face. When doing business with government or corporate customers, it is obviously inappropriate for you to send a robot (it doesn’t know how to drink, socialize, or take care of health care). Especially in China, it is a relationship-based market. Without good customer relationships, there will be no way to do business. Therefore, it is difficult for AI to replace these people who hold key customer resources.
However, the work of providing pre-sales support can be left to AI.
For example, ChatGPT can help with writing plans, tender documents, and some formal text work. For another example, when marketers conduct market analysis and formulate marketing strategies, they can use AI to analyze market conditions (sales, preferences, satisfaction, etc.) and provide decision-making suggestions.
Frontline workers are those who do physical work on site.
The environment at the engineering project site is relatively complex. I think it will be difficult to achieve complete unmanned mechanization in the short to medium term. Site survey, installation, and transportation still require people to do it. To be honest, it’s not that this type of work is very advanced, it’s mainly because the cost of people is low. . .
Some front-line jobs that do not involve complex operations will still be gradually replaced by AI. For example, the network optimization mentioned earlier, and another example are equipment activation and commissioning.
In the earliest days, engineers configured data one by one when opening equipment. Later, with scripts, data could be imported in batches. Now, simple data is distributed by the upper-level network management and automatically configured. In the future, the data distributed by the system will be planned and configured by AI.
Network maintenance, as mentioned before, will most likely use AI in large quantities. In the future, AI will be responsible for monitoring and maintaining the network. If a problem occurs, AI will issue an order, and then human engineers will do the work (such as replacing hard drives, optical fibers, and single boards).
In terms of network performance indicators, the biggest difference between human engineers and AI is that AI gives results based on data, while humans can give data based on results. This is quite NB and irreplaceable. ^_^
R&D work is also greatly affected by AI. Everyone has seen that the current ChatGPT is already qualified for the work of junior coders. In the future, its ability to write code will definitely become stronger and stronger.
This forces R&D personnel to continuously improve their capabilities, have stronger innovation capabilities, and be more creative. Those research and development projects that are just fake are more dangerous.
In fact, anyone who has done research and development work knows that when writing a program, you do not have to write every line of code from scratch. Simple modules are called directly. The key part is to write it yourself.
Now everyone talks about low-code development, or even zero-code development. In the future, maybe humans only need to give their own ideas, and the coding part is completely completed by AI, which is also very possible.
In short, the rise of AI poses a greater threat to office jobs. Then positions that deal with people and positions that require practical and complex operations are relatively safer.
Many companies now have a group of "elderly" people who sit in front of the computer every day, collecting data, drawing forms, writing PPT, and writing reports. These people are most likely to be killed by AI, so they hope to take care of themselves.
Okay, the above is some personal opinions of Xiao Zaojun.
The rise of AI is an inevitable trend. The emergence of ChatGPT has sounded a wake-up call to each of us. AI is not far away. It is constantly learning and improving. As human beings, we have no reason not to learn and make progress.
When the times abandon you, they don’t even say hello. Is not it?
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