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Titan sports All Media Original

This Saturday, in the 24th round of the Bundesliga, Bayern played against augsburg at home. Bayern eliminated Paris Saint-Germain in the Champions League in mid-week, and nagel’s reputation improved. The team won three tough games in a row and was in good shape. Augsburg is the place where nagel Mann started his coaching career, and he served as a reserve scout under tuchel. After coaching Bayern, Nashuai led the team and lost to Auerbach twice. In this game, Bayern continued its excellent state in the near future, reversing the car after losing one goal first, and the defender scored four goals and finally won 5-3.

2′ Auerbach’s frontcourt foul ball, Bayern’s defense made a series of mistakes, Cancelo was erased, Berisha scored a low goal, and Bayern scored 0-1.

15′ Sane passed the ball, and Cancelo swung left and right and shot from a small angle to equalize 1-1.

19′ Bayern’s free kick caused confusion, Manet hooked the assist, pawar strafed the goal, and Bayern scored 2-1.

35′ Delicht grabbed the first point for the top corner kick, pawar scored twice in the volley and Bayern scored 3-1.

45′ Sane went straight to the goal, Mane sent it to the door and was blocked. Sane followed the header to make up the goal, and Bayern scored 4-1.

60′ Delicht knocks down Cardona, Berisha takes a penalty, Bayern 4-2.

74′ Cancelo’s right flank picks the ball, and the far-end Alfonso Davies outflanks it, and Bayern scores 5-2.

90+3′ RubenVargas accelerated the bottom cross, and Cardona made it 3-5.

"number theory"

[2] In Bayern’s 150th official game, pawar scored twice for the first time. Cancelo scored his first goal in Bayern.

Bayern lineup:27- Zuo Mo /5- pawar, 2- Yu Pamekano, 4- Delicht (84’23- Blind) /22- Cancelo, 42- Mucia La (78’38- Herafenbech), 6- kimmich, 19- Alfonso Davies (77’40- Mazravi).

Football is the most popular sport in the world, and the income of famous stars is also the top level in the world. Cristiano Ronaldo’s sky-high annual salary of $200 million now also shows the popularity of football, and this popularity is worldwide, so it is easier to increase income. Of course, not every player can enjoy the high salary. Playing football is also a profession, and the income level will be distinguished according to the ability. Therefore, the low-income people in football occupy a large proportion, so the gap between the rich and the poor of athletes is still very large.

Recently, Sportico, a sports business media, published a set of information. In 2022, the top 100 athletes in the world earned the highest income. Among them, football, as the most popular sport, occupied 12 places in the top 100, and basketball, one of the three big balls, also occupied a large proportion.

Among the top 10 sports athletes, there are 3 football players, all of whom are in the top 5. Messi’s salary of $72 million plus business endorsement of $50 million, with a total income of $122 million, ranks second. Cristiano Ronaldo, who has not yet moved to a local Saudi team, ranks third with a total income of $115 million. In 2023, Cristiano Ronaldo’s annual salary will reach $200 million, and his total income will rise sharply.

Neymar ranks fourth with a revenue of $103 million, and the top four football players occupy three seats, which proves that football stars have higher commercial value and football is more popular. Other top 100 footballers included Mbappé (US$ 254.88 million), Bell (US$ 304.33 million), Azar (US$ 413.79 million), Iniesta (US$ 533.50 million), Salah (US$ 573.42 million) and Levan (US$ 633.00 million).

In 2022, the American basketball player James ranked first in terms of athletes’ income. Although his annual salary was only $36.9 million, only half of that of Messi last year, his commercial contracts were as high as $90 million, and the commercial contracts were generally more and more, so James’ income was also increasing, making him a unique player in the world sports world.

Messi and Cristiano Ronaldo’s income is also unique in football. Even at the age of 38 or 36, they are still the most attractive players in football. Mbappé, of course, because of his age advantage, has the meaning of catching up with others. The total annual salary of Mbappé’s contract can reach 200 million, but it includes signing fee, loyalty bonus and so on, so it is not included in the list. However, if Mbappé wants to achieve the success of Messi and Cristiano Ronaldo, it still needs to maintain a long-term and stable state. Of course, Messi is a well-deserved king, both in honor and income, especially after winning the FIFA World Cup Qatar 2022 championship.

The secret of Musk’s success can be summarized as follows:

1. Have a great vision and sense of mission. Musk’s companies have a common goal, that is, to promote human development to a more sustainable, efficient and advanced future. He is committed to creating changes in space, renewable energy and transportation.

2. Not afraid of failure and challenge. Musk faces many challenges in the field of innovation, but he can always overcome difficulties with courage and perseverance and constantly push the project forward. He believes that "failure is the mother of success" and believes in learning and improving through trial and error.

3. Strong execution and leadership. Musk can keep clear thinking and guiding direction in complex organizations and projects. He pays attention to detail and is responsible for every aspect of the company.

4. Stick to your values. Musk has been paying attention to what he considers important issues, including environmental protection and the safety of artificial intelligence. He believes in the connection between enterprises and society, and strives to make the company succeed in emphasizing social responsibility and sustainable development.

5. Keep learning and innovating. Musk is a generalist. He has extensive knowledge and skills, and firmly believes that complex problems can be solved through continuous learning and practice. He is always looking for new ideas and methods to promote the development of companies and individuals.

Cover journalist Tan Yuqing Bian Xue

In recent years, scoliosis has become a common disease that harms teenagers, making it difficult for sick teenagers to straighten their backs. According to statistics, the number of scoliosis among primary and secondary school students in China exceeds 5 million, and it is still increasing at a rate of about 300,000 per year. Scoliosis has become the third major disease that harms the health of children and adolescents after obesity and myopia.

Early detection, early diagnosis and early treatment are the key points to combat scoliosis, otherwise it may develop into a very serious deformity, which may affect cardiopulmonary function and even lead to paralysis in severe cases.

Scoliosis model

In the past, doctors would diagnose scoliosis by manual measurement and X-ray screening, but with the integration of artificial intelligence (AI) into medical imaging technology, this step may be further optimized. In the screening stage, it is only necessary to "simply take pictures" to preliminarily determine whether scoliosis occurs, and in the diagnosis stage, the "experienced" AI system can also assist doctors to quickly read films for diagnosis.

Why can taking pictures replace x-rays? How does AI system assist doctors in screening and diagnosing scoliosis? Recently, the cover journalist explored the development of AI+ medical imaging technology.

It only takes a few seconds. Did the AI system tell you about scoliosis?

In the "simulated physical examination room", the reporter saw the hardware part of the spine AIS intelligent screening and diagnosis system (hereinafter referred to as the "system")-a rectangular metal frame about 2 meters high, with a group of small cameras in the center of the top. It looks simple, but the effect is not simple. The reporter’s on-site experience found that it took only a few seconds from detection to obtaining the report results.

The hardware part of the system is the camera.

"As long as the examinee stands in a standard position and poses Adam’s position to expose his back, the system can quickly complete the screening by using an infrared depth camera to collect information on his back." According to Fan Jipeng, the person in charge of the Shuangxin Department of Chengdian Gold Disk, the system will map and transform the image information collected by the camera to get the depth information of multiple posture key points on the back, so as to calculate the back asymmetry index and judge whether the subject may have scoliosis.

Schematic diagram of screening process

He said that this intelligent system will get closer and closer to the level of X-ray diagnosis by constantly learning actual cases and optimizing existing algorithms. While ensuring the accuracy and efficiency of screening, it can also prevent the teenagers being tested from being exposed to X-ray radiation.

This new technology may help to better implement the scoliosis examination project that was included in the physical examination of students in 2022. "We think the greatest significance of the screening system is that it can quickly complete large-scale examinations, so that children with scoliosis who have not yet been discovered will not be delayed."

Interface of scoliosis diagnosis system

In the diagnosis stage, the intelligent system is also a good assistant for doctors. Fan Jipeng explained that in the traditional process, in order to diagnose scoliosis, doctors need to measure the Cobb angle of the spine with a ruler, but this is time-consuming. Different doctors will make some errors when measuring by hand. Doctors with less experience may need to consult for scoliosis with large curvature, and the diagnosis time will be prolonged. However, after deep learning, the artificial intelligence system can accurately read and measure the film within 3~5 seconds, and give diagnosis suggestions.

At present, the system has completed the screening and diagnosis of more than 5,000 cases of scoliosis. "Now we are cooperating with Electronic Science and Technology University Hospital, Zhongshan Pok Oi Hospital and Shenzhen Children’s Scoliosis Center, and this number will be continuously updated."

Training "AI Good Doctor" by "Engraving" Algorithm of Expert Experience

"The accuracy of top doctors’ diagnosis of scoliosis may be 85%~90%, and the overall accuracy of our system will continue to approach this figure." Fan Jipeng said that at present, of course, the accuracy of top experts is higher, but compared with ordinary doctors, the system may have exceeded their basic level.

So, what gives the diagnosis system the ability to catch up with top experts? The answer is the experts themselves.

"When experts mark the angles of thousands of scoliosis cases, the system will learn based on this and solidify the experience of top experts into the algorithm, thus reaching a higher diagnostic level." In Fan Jipeng’s view, although the system is not as good as top experts, it is used to assist ordinary doctors in diagnosis or help improve their medical level.

The marked samples provided by human experts are the "success stories" of artificial intelligence doctors, but Fan Jipeng said that this is also one of the difficulties in the development of AI doctors. Different races, even people in different regions, will have certain differences. If the diagnosis is accurate enough, researchers need to collect as many samples as possible for AI to learn.

At present, the real large-scale landing of the system still faces some difficulties in the process. "How to make the medical examiners go through the inspection process quickly and how to ensure that their Adam posture is standard requires some corresponding training."

Therefore, the system will learn more practical cases, further optimize its algorithm program, continuously improve the diagnostic accuracy, and design detailed operating standards for the system, "for example, what is the standard Adam position, how to do it well, etc."

Since November 2022, ChatGPT, a chat robot developed by American artificial intelligence research company OpenAI, has quickly become the fastest-growing consumer-grade application in history, attracting widespread attention. The emergence of ChatGPT has become the tipping point of the development of artificial intelligence, which has promoted the competition of scientific and technological innovation in various countries to enter a new track. The leap of technology will inevitably lead to in-depth observation in application scenarios. No matter how smart artificial intelligence services become, adapting to and meeting the needs of human development is always the fundamental direction. Facing the future, discussing ChatGPT’s important influence on people’s mode of production, lifestyle, way of thinking, behavior mode, values, industrial revolution and academic research will help us to use and manage this technology correctly and then think about the development prospect of artificial intelligence.

Hegel mentioned the concept of bubble burst in the Ethical System, which meant that the process of destruction was like an expanding bubble bursting into countless tiny water droplets. If we look at the development of artificial intelligence technology with this concept, we will find that it is more consistent. After the artificial intelligence bubble burst in 1956, it became many tiny water droplets and splashed everywhere. There are AlphaGo and so on in chess; There are AlphaFold and so on in scientific research; Language dialogue includes LaMDA, ChatGPT, etc. Image generation includes Discord, Midjourney and so on. These technologies have gradually converged into a force, which has involved mankind in an era of intelligent generation.

ChatGPT: generating and embedding

Generation constitutes the first feature of ChatGPT, which means innovation, but this is questioned. Chomsky believes that ChatGPT discovers rules from massive data, and then connects the data according to the rules to form similar content written by people, and thinks that ChatGPT is a plagiarism tool. This view is somewhat inaccurate. In the process of ChatGPT generation, something new is produced. However, this is not new in the sense of existence, that is to say, it does not produce new objects, but finds unseen objects from old things through attention mechanism. In this sense, it belongs to the new in the sense of attention. In 2017, a paper entitled "Attention is All You Need" proposed transformer based on the concept of attention, and later ChatGPT used this algorithm. This technology uses self-attention, multi-head-attention and other mechanisms to ensure the emergence of new content. Moreover, ChatGPT may also generate text by reasoning, and the results can not be summarized by plagiarism.

Embedding constitutes the second feature of ChatGPT, and we can regard the embedding process as enriching some form of content. The development of intelligent technology is divorced from the track of traditional technology development. Traditional technology is often regarded as a single technical article, and its development presents a linear evolution model. However, the development of intelligent technology gradually shows embeddability. For example, as a platform, smart phones can be embedded with many apps. ChatGPT can be embedded in search engines and various applications (such as various word processing software). This kind of embedding can obviously improve the ability of agents. This is the basis of ChatGPT enhancement effect. According to Statista’s statistics, as of January 2023, OpenAI has been closely integrated with science and technology, education, commerce, manufacturing and other industries, and the trend of technology embedding is becoming increasingly obvious. The degree of embedding affects the friendliness of the robot. At present, ChatGPT can’t be embedded in the robot as a sound program. In our contact, it is more like a pen pal. In the future, companion robots and talking robots may be more important, such as voice communication, human talking, machine listening and responding.

ChatGPT’s black box status

For ChatGPT, transparency is a big problem. From a technical point of view, opacity stems from the unexplained problem of technology. Therefore, technical experts attach great importance to the interpretability of ChatGPT, and they also have a headache about the black box effect of neural network. In terms of operation mode, the operation of ChatGPT itself is difficult to explain. Stuart Russell clearly pointed out that we don’t know the working principle and mechanism of ChatGPT. Moreover, he doesn’t think that the large-scale language model brings us closer to real intelligence, and the interpretability of the algorithm constitutes a bottleneck problem. In order to solve this problem, they can observe the mechanism of neural network and touch the underlying logic through some technical methods such as reverse engineering. And through the mechanical interpretable method, the results are displayed in its visual and interactive form. With the help of these methods, they opened the black box of neural network. However, the interpretability obtained by this method is only effective for professional and technical personnel.

From a philosophical point of view, the emergence of black box is related to terminology. Difficult and obscure terms will affect the acquisition of theoretical transparency. For example, the theoretical concepts on which ChatGPT algorithm depends need to be clarified. In the article "Attention is All You Need", attention mechanism is a common method, which includes self-attention and multi-attention If these concepts are not effectively clarified, it will be difficult for outsiders to understand, and the black box will still not be opened. Therefore, one of the most basic problems is to clarify attention itself. However, this task is far from complete. Ethical problems caused by lack of transparency will bring about a crisis of trust. If the principle of ChatGPT is difficult to understand, its output will become a problem. In the end, this defect will affect our trust in technology and even lose confidence in technology.

Enhancement effect of ChatGPT

ChatGPT is an intelligent enhancement technology. What it can do is to intelligently generate all kinds of texts. For example, generate an outline of data ethics and generate the research status of a frontier issue. This obviously enhances the search ability and enables people to obtain higher efficiency in a short time. This enhancement is based on generativeness and embeddedness. From the generative point of view, it realizes the discovery of brand-new objects through the transformation of attention; In terms of embeddedness, it greatly improves the function realization of the original agent.

As an intelligent technology, ChatGPT can obviously improve the work efficiency of human beings. This brings out a basic problem: the relationship between human beings and agents. We divide intelligence into substantive intelligence and relational intelligence. Entity intelligence, that is, the intelligence possessed by entities, such as human intelligence, animal intelligence and entity robot intelligence; Relational intelligence is mainly used to describe the relationship between human beings and agents, and augmented intelligence is the main form of relational intelligence. It is necessary to purify the enhanced intelligence, make it show the general significance of people and technology through philosophical treatment, and make it have normative significance through moral treatment.

However, ChatGPT, which can enhance the effect, will cause some ethical problems. The first is the problem of intelligence gap. At present, this technology is limited, and there is a certain technical threshold, which will lead to the widening gap among users, that is, the gap caused by intelligent technology. This is the gap and gap arising from the acquisition of technology. The second is the issue of social equity. Unless this technology can be as popular as mobile phones, this fairness problem will be exposed very significantly. People who can use ChatGPT to work are likely to improve their efficiency significantly; Those who can’t use this technology will keep their efficiency at the original level. The third is the problem of dependence. Users will feel the convenience of this technology during use. For example, it can quickly generate a curriculum outline, write a literature review, and search for key information. This will make users gradually rely on this technology. But this dependence will have more serious consequences. Taking searching literature as an example, with the help of this technology, we can quickly find relevant literature and write a decent summary text. Although ChatGPT can quickly generate a literature review, it has lost the academic training of related abilities, so the result may be that researchers and students have lost their abilities in this field.

The relationship between ChatGPT and human beings

In the face of the rapid offensive of ChatGPT, academic circles generally take a defensive stance, especially many universities have banned the use of this technology in homework and thesis writing. However, prohibition is not the best way to deal with it. Technology is like water, which can be infiltrated in many ways, so relatively speaking, rational guidance is more appropriate.

To guide rationally, we need to consider the relationship between agents and human beings. I prefer to compare the relationship model between the two to "make the finishing point". Taking the generation of text outline as an example, ChatGPT can generate a data ethics outline based on data processing links around related ethical issues in data processing, such as collection, storage and use. In a narrow sense, this outline is appropriate and can reflect some aspects of ethical issues in data processing. However, from a broad point of view, this outline is too narrow, especially only from the data processing itself to understand data, without considering other aspects, such as dataization, data and lifestyle. What we can do or want to do is to make the finishing touch on the generated text and make it "live" through adjustment. In this way, the position of intelligently generated text has also begun to be clear: it is the finishing touch of human beings that plays a key role in the generation. Without this pen, the intelligently generated text is just a text without soul. If not, it will be difficult to guarantee the meaning and value of human beings, and the corresponding ethical problems will also arise.

Shangtang Technology has implemented the "reality-oriented" concept of digital world development into its own practical development to promote the integrated development of digital economy and real economy.

"Investment Times" reporter Su Hui

In 2023, the two national conferences arrived as scheduled. The reporter of Investment Times noticed that compared with previous years, there was a new change in the two sessions this year, that is, representatives of a number of head Internet technology companies no longer served as NPC deputies or Chinese People’s Political Consultative Conference members due to the expiration of their terms of office, and they successfully completed a new and old transition with the new generation of technology leaders.

For example, He Xiaopeng, chairman of Xpeng Motors, Chen Tianshi, chairman of CAMBRIAN artificial intelligence (AI) chip company, Cao Peng, chairman of technical committee of JD.COM Group, and Kelly Y Zhou, founder and CEO of Zhihu, were all elected as deputies to the National People’s Congress or members of Chinese People’s Political Consultative Conference for the first time. This time, they participated in the two sessions, and they also made active preparations for field research, offering suggestions and suggestions for the development of the industry and a better life.

"Scientific and technological innovation" has always been an important topic to be discussed at the two sessions every year, and the two sessions have always been an important vane for the development of domestic scientific and technological innovation. In this year’s related discussions of the two sessions, the words "cutting-edge technology" such as ChatGPT, humanoid robot and autonomous driving of AI model appeared frequently. A number of representatives in the fields of network security and industrial manufacturing also put forward key suggestions on protecting data security and the development of digital economy.

In recent years, the digital transformation of agriculture, manufacturing and service industries has been accelerated, which is promoting profound changes in the mode of production of enterprises, lifestyle of residents and social governance. In 2021, the scale of industrial digitalization reached 37.18 trillion yuan, a nominal increase of 17.2% year-on-year, accounting for 81.7% of the digital economy and 32.5% of GDP, and the digital transformation of industry continued to accelerate in depth.

Shangtang Technology relies on AIDC and Shang Tang AI Cloud to create an innovation engine for the digital transformation of traditional industries and deeply stimulate the industrial potential.

AIDC, an artificial intelligence computing center located in Shanghai Lingang, is an AI infrastructure built by Shangtang Technology for digital transformation of the whole industry. AIDC is an important part and physical bearing of computing infrastructure layer in SenseCore Shang Tang AI large-scale device. With multiple leading advantages such as super-large-scale elastic computing power, low computing power cost, high security and low network delay, AIDC builds an innovative base, and drives the upgrading of AI production capacity with higher efficiency and lower cost.

It also opened the technical capabilities of Shang Tang AI big devices to its partners through AIDC, launched SenseCore Shang Tang AI Cloud, a one-stop AI basic service platform, transplanted AI capabilities to the cloud, realized AI as a service AIaaS, provided enterprises with "inclusive, flexible and open" AI infrastructure products and services, promoted the process of AI industrialization and accelerated the digital transformation of the whole industry.

Through Shang Tang AI Cloud, customers can realize the mass production and deployment of high-quality AI algorithms in an efficient, automated and intensive way without deep professional knowledge and huge capital investment, quickly get through the long tail demand in various vertical industries and improve the value chain.

On the other hand, Shangtang Technology always attaches great importance to artificial intelligence governance. The relationship between governance and innovation of artificial intelligence is similar to the relationship between steering wheel, brake pad and throttle of automobile. AI governance is not only like a "steering wheel" that can guide technology research and product development in the right direction, but also has the function of "brake pad", which can stop AI innovation from developing in the wrong direction in time. The strength of the "steering wheel" and "brake pads" needs to be dynamically adjusted according to the priority of the "throttle". Therefore, AI governance needs to adapt to the rhythm changes of technological innovation and achieve a degree of relaxation.

In September, 2022, Shangtang Technology released the White Paper on Artificial Intelligence Governance with Balanced Development —— Annual Report on Ethics and Governance of Artificial Intelligence in Shang Tang (2022). On the basis of AI ethics with Balanced Development, Shangtang Technology further proposed to develop "responsible and assessable" artificial intelligence, and took it as the vision goal of artificial intelligence governance in Shang Tang to create a closed loop of ethical governance.

At the same time, in view of the new stage, new trend and new changes of AI development, Shangtang Technology actively promoted the ethical governance from the exploration of AI itself to the specific business scene field, and in December 2022, it took the lead in publishing the "Reality-oriented Development View of the Digital World-Metauniverse Sustainable Development Report" for the metauniverse scene, introducing Shangtang Technology’s governance proposition for the digital world, providing for the construction of the digital world needed for the development of the real economy.

It can be seen that Shangtang Technology has implemented the "reality-oriented" concept of digital world development into its own practical development, and achieved the goals of "meeting the real needs", "following the real rules" and "conforming to the real interests" through the combination of technological innovation and real industries, so as to promote the integrated development of digital economy and real economy.

As the first world competition in the Paris Olympic Games cycle, China women’s volleyball team finished sixth, and once again missed the championship. Fortunately, our ultimate goal is not this year’s World Championships, but the Olympic Games two years later. Therefore, this World Championships can be regarded as an opportunity to train and test the team, discover and cultivate some players through competitions, and lay a solid foundation for the women’s volleyball team to return to the peak in the future! Through this World Women’s Volleyball Championship, four players have played their own value, and they can also lock in a place to stay in the women’s volleyball lineup, while three players may not be able to re-enter the women’s volleyball national team in the future through this World Championship.

First of all, let’s take a look at the four outstanding players. Li Yingying, as the core of the team, will not be mentioned. They are Wang Yun, Diao Linyu, Wang Mengjie and Yang Hanyu! Although Diao Linyu is a veteran in this national team, this world championship is the first one she participated in. Diao Linyu’s performance is also obvious to all, and she completely pushed Ding Xia to the bench. In the future, with the latter gradually fading out of the national team, Diao Linyu is definitely the first choice for the second pass position. Wang Yun’s words can be regarded as the biggest discovery of China women’s volleyball team. After that, even if Zhu Ting and Zhang Changning come back, she can still lock in the position of the fourth main attack of women’s volleyball team.

Last year’s Tokyo Olympic Games had a great influence on Wang Mengjie, and she was almost retired by fans. Fortunately, she persisted in the end, and seized the opportunity again at this year’s World Championships, becoming the first free agent of the women’s volleyball team again! Although young Yang Hanyu didn’t get as many opportunities as the previous three players in the World Championships, she was basically replaced when the team was in the most difficult time. However, even though there are few opportunities, Yang Hanyu has grasped them well, at least during his playing time, and has a very good performance. Coupled with the lack of strength and performance of Wang Yuanyuan, the starting assistant attacker, Yang Hanyu is likely to replace Wang Yuanyuan in future competitions, and become a candidate for the main assistant attacker of the women’s volleyball team.

After this World Championships, the three players who are likely to leave the national women’s volleyball team, perhaps including the aforementioned Wang Yuanyuan, can only "abuse vegetables". Once she meets an opponent who is stronger than herself, it is difficult to play. The other two players are Jin Ye, a major player, and Wang Weiyi, a free agent. These two players have one thing in common: they are not young. Jin Ye, 26, and Wang Weiyi, 27, can’t be used as future training objects of the team. Besides, they didn’t play very well in this World Championships, and their strength is far from the level of playing the World Series. They should leave their positions to younger and more potential players!

Founded in 2018, Wuhan Xianshi Technology Co., Ltd. is a technology-driven company. Its business segments include shared charging treasure, shared charging pile, unmanned container, life service, aggregate payment business, cloud computing and other industrial fields. With independent development capability, strong technical team, customer service team and rich experience in operation and promotion management, we are committed to the research and development of Internet technology and artificial intelligence equipment.

The city’s fresh technology sharing WiFi pays more attention to landing operation, which means that your customers are the end customers. All you have to do is push the ground, invite the merchants to settle in, and open the Wi-Fi code for the merchants (replace the Wi-Fi in the store). Paste the Wi-Fi code corresponding to the merchant according to the number of tables in the merchant’s store.

The business entry system is also divided into shares, which is quite attractive to developers or platform operators. Entering this area is completed by developers, because developers promote business entry with a share of profits.

For the platform operator, as long as the customers in the store scan the code to link WiFi successfully, you will get a profit, and this part of the profit is calculated automatically. Your profit is settled by Tencent’s traffic, and the following will form the effect of automatic operation. When others connect WiFi, you will get a profit, and the system operator will just enjoy the profit.