标签归档 西安高端外卖

Fan Zhendong case repeats itself! Stalking fan suspected of bribing the staff of the Macau Tournament and harassing Sun Yingsha’s privacy.

Recently, Sun Yingsha and Fan Zhendong’s main players are taking part in the championship in Macau. This time, they both advanced to the semi-finals, especially the women’s singles won the championship and runner-up in advance, and the China team achieved good results. It was during this competition that Sun Yingsha, the main player of Guoping, was harassed again, and this time the harassment was even more excessive than the previous flash, which was suspected of repeating the original tragedy of Fan Zhendong.

According to media reports, during the recent match between Sun Yingsha and chopper Han Ying, the director of a live program actually pointed a camera at Sun Yingsha’s backpack, and also rummaged Sun Yingsha’s things inside, and showed the picture to Sun Yingsha’s stalking fan through the camera. Under such circumstances, the director’s behavior undoubtedly caused a lot of questions. Afterwards, stalking fan posted on the social platform that they paid the director of the Macau Games to make him a mole. When the game was broadcast live, he touched Sun Yingsha’s backpack to see what privacy was in the backpack to satisfy the fantasies of these fans.

This behavior has caused serious harassment for Sun Yingsha. I still remember that some time ago, Fan Zhendong called the police because the fans broke into his room. At present, Sun Yingsha is definitely not lighter than Fan Zhendong. No matter for Sun Yingsha or ordinary people, their personal belongings are not allowed to be moved by anyone. The key is that it is even more excessive for the pilot to broadcast live through live cameras.

Next, for the coaching staff, in order to avoid the recurrence of Fan Zhendong’s tragedy, we should deal with this staff member in time. On the other hand, the most important thing is to improve the security of the whole Macau Championship and consider how to protect the rights and interests of these players. In this way, these main players can compete with more peace of mind and win glory for their country. Otherwise, like before Fan Zhendong, he was frequently harassed by these extreme fans. How can he wholeheartedly play the game and help the national team win the championship and honor? This should be a good job for the coaching staff, including logistics personnel.

Next, for Fan Zhendong and Sun Yingsha, I hope they will not be affected by these storms. On the other hand, I hope Malone and Wang Chu Qin will cheer them up, eliminate Zhang Benzhi and these opponents, and win the championship earlier.

The two founders of Meituan joined hands again.

ChatGPT’s wind blew, and the US group Wang Xing was tempted.

Yesterday afternoon, Wang Xing, the founder of Meituan, announced in a high-profile circle of friends that the AI ? ? model made him "both excited and worried". In the future, he will personally participate in the A round investment of Wang Huiwen’s startup company "light years away" and serve as a director.

The original text of this circle of friends is: "The AI ? ? big model makes me both excited about the huge productivity that will be created soon and worried about its future impact on the whole world. Lao Wang and I have been on the road to entrepreneurship for nearly 20 years.Since he is determined to embrace this big wave, I must support it. "

Source: screenshot of Wang Xing’s circle of friends

Just last month, Wang Huiwen, another core founder of Meituan, published articles on social platforms continuously, announcing that he would start a business in AI, with the goal of creating "China version of OpenAI". Recently, ChatGPT, which is very popular in the technology circle, is the product launched by OpenAI.

His concrete measure is to contribute 50 million dollars., valued at $200 million, set up Beijing Lightyear Technology Co., Ltd.. However, its own funds only account for 25% of the shares. In his AI Heroes List, he wrote that another 75% of the shares are used to invite top R&D talents.

If these shares have not been issued by the time the company goes public, a non-profit fund will be set up to "invest in projects with unclear development path, slim realization hope and unclear commercial value".

As soon as this move came out, the four sides moved.

Some researchers questioned its capital and technology, and some people yearned for it, but never expected that the first big fish caught in this project was actually an old partner Wang Xing.

At this point, we look back,Recently, the investment and entrepreneurship of AI, Big Model, ChatGPT and other related tracks have entered the stage of racing against time.

Not only Wang Xing and Wang Huiwen’s "Double Kings" combination, but also Ali, JD.COM, Baidu and Tik Tok are actively participating in the competition.

After Wang Huiwen took out $50 million in real money, Wang Xiaochuan, a former Sogou CEO, also posted on social media that he was about to enter the "China’s OpenAI" battlefield.

On February 26th,Zhou Bowen, the former head of JD.COM technology, announced the recruitment of partners to build a China version of ChatGPT.

In the last two days, Yan Li, the core figure of AI technology research and development in Aauto Quicker, has also started a big AI model business as a new company founded after leaving Aauto Quicker.

Mu Li, a great technical god, and Alex Smola, his former mentor, started their business together, and the track they chose was also a big model-related project.

Coupled with this high-profile announcement by Wang Xing,At present, the domestic AI model entrepreneurial track has been crowded with big names, including many serial entrepreneurs and technical gods.

As the "best co-production venture combination" recognized in the Internet industry, the re-joining of Wang Xing and Wang Huiwen has brought a beautiful imagination to the industry.

On December 18, 2020, Meituan issued an internal letter, and Wang Huiwen, the co-founder and senior vice president of Meituan, officially retired as planned.

On the occasion of Wang Huiwen’s retirement, Wang Xing wrote a letter for him, briefly summarizing his ten-year entrepreneurial achievements.

"Joined the US Mission in 2010 to help the company stand out from the Thousand Regiments War; Three years later, we will build a US group take-out from 0 to 1, and then go deep into the upstream and downstream of the catering industry chain to build local service business scenarios such as store, home and travel; One year before leaving office, Lao Wang was still promoting the building of platform capabilities such as user platform, basic research and development, big data and Al. "

Wang Huiwen

It can be seen that Wang Huiwen plays a cornerstone role in today’s Meituan Empire. However, before the establishment of the US Mission, Wang Xing and Wang Huiwen had already cooperated many times.

In 1997, 18-year-old Wang Xing walked to Tsinghua University from Longyan No.1 Middle School in Fujian. At that time, the first classmate he knew was his roommate Wang Huiwen.

Since 2003, they decided to start a joint venture. It is said that Wang Xing interrupted his doctoral studies in the Department of Electronic and Computer Engineering of the University of Delaware, and Wang Huiwen also dropped out of the Institute of Acoustics of the Chinese Academy of Sciences.

In a year, Wang Xing tried 10 entrepreneurial projects until.In 2005, the real-name registration system social networking platform "Intranet", which was jointly founded by them, went online, and finally made a name in the industry.

This social platform, similar to Facebook, quickly took off in China. However, due to the broken capital chain and lack of entrepreneurial experience, Wang Xing’s team sold the campus network to Thousand Oaks Group for $2 million in less than one year.

Three years later, in 2009, Thousand Oaks Group renamed its famous campus network Renren. By 2011, when Renren was listed in the United States, its market value reached 7.482 billion US dollars, surpassing Sohu, Youku, Netease, Ctrip and Sina, becoming the third company with internet market value in China.

Source: Renren. com official website

In this story, although the "two kings" group left early, their keen judgment and industry judgment on the Internet still surprised everyone.

After the campus network project, Wang Xing and Wang Huiwen went to toss up the projects such as Fanbu, hainei and Taofang, but none of them improved much.

In 2010, the two men got together again and jointly founded Meituan., and then completed the expansion of thousands of regiments, takeaway wars, big retail and big travel.

In a short sentence, how many wars are raging? After several wars and standing out from the crowd, Wang Xing and Wang Huiwen combined to gain a firm foothold, and more people began to call them "industry bosses". As we all know, the super entrepreneurial strength displayed by the two of them together is an important factor that makes everyone look askance.

Thousand regiments war

It is worth noting that after Wang Huiwen retired, he never stopped to invest in the technology industry.

Specifically, in April last year, Wang Huiwen’s signature on Instant was still "All in Crypto". After half a year, his interest shifted from Crypto and web3 to artificial intelligence, and he wanted to build the China version of OpenAI.

By the way, he also invested in LI and met Wang Xing in the investment field. In the last round of financing before the ideal IPO, Wang Huiwen’s name appeared on the ideal investment list together with Wang Xing.

Not only does Wang Huiwen continue to explore in the science and technology circle, but Wang Xing has gradually become an investment tycoon in the field of hard technology.

According to incomplete statistics, in addition to his ideals, Wang Xing’s personal investment projects also include mutual assistance, convenience, e-driving, Qingping Technology, Maibu Technology, flight steward, Tiger Securities and so on.

Wind data shows that there are 121 affiliated enterprises of Wang Xing and 39 foreign-invested enterprises, of which 34 are surviving. The enterprises they invest in are mainly engaged in scientific research and technical services, information transmission, software and information technology services, and leasing and business services.

Source: wind

It can be seen that the exploration of the two people joining hands to enter the AI industry is not as simple as a "supporting friends". In fact, there are both sides’ continued emphasis on the technology industry and their recognition of entrepreneurial ideas.

In the open letter of Wang Huiwen’s retirement, Wang Xing wrote that "Lao Wang and I are classmates and roommates with common interests, partners who work together to start a business, comrades who fight side by side, and lifelong friends who can collide with each other and talk with each other".

Different from the rhetoric in Wang Huiwen’s hero list, when the two really entered the AI industry, of course, all the spectators were most concerned about:What are you going to do and what kind of business model are you going to establish?

From the current mainstream point of view, the AI ? ? big model and ChatGPT entrepreneurship actually require high R&D investment. In fact, the only team in China that is most suitable for competition and has a greater possibility of success is BAT, an Internet giant with a cloud computing platform and a large number of users and related data.

Some insiders have calculated the relevant costs. "ChatGPT hardware needs 30,000 top-level GPUs, plus CPU, memory, hard disk, network and data center power supply and buildings, which is close to 10 billion yuan.Training takes several months at a time, and besides the huge cost of materials and electricity, there is also the cost of software development. "

In the past few years, both Ali and Tencent have invested no less than $50-10 billion in OpenAI. However, from the landing effect, the results are not obvious.

The same is true for Wang Xing and Wang Huiwen.They face as many difficulties as Ali.

At present, the advantages of the two men in the process of starting a business are rich entrepreneurial experience, keen market insight, talking about ideals, talking about feelings and grabbing talents. Wang Xing and Wang Huiwen are very powerful.

Earlier news showed that recently, Liu Jiang, vice president of Beijing Zhiyuan Artificial Intelligence Research Institute, wrote in a circle of friends that he had decided to join Wang Huiwen’s "light years away", and he also called other "AI heroes" to join the team.

It shows the appeal of the two of them, but in addition to the above competitive factors, the specific landing scenarios, related business models and profit models of the AI ? ? big model are still being explored.

Is it ToB, facing the business side, using ChatGPT and big model as an interface to improve the efficiency of production and service, or ToC, putting the AI big model technology to the ground and making a more reliable and intelligent chat robot?

Just like several keywords mentioned by Wang Huiwen in the continuation of the hero list, "unclear, vague and unclear" indirectly summarizes the mentality of both surprise and anxiety about related technologies in the industry.

Wang Xing and Wang Huiwen took a group photo.

What we can make clear is that in the process of AI entrepreneurship, in addition to technical belief, it is necessary to have sufficient capital and the support of related industries, and it is actually very difficult to simply explore technology without landing scenes.

Wang Xing and Wang Huiwen stood up and supported the industrial development with actual funds. They played more of the role of "investors". This move deserves more people’s follow. After all, no matter how difficult the technical research is, someone must promote it.

Betting on AI entrepreneurship is a new journey for these two Internet giants, and the whole Internet industry is waiting for the day when the truth comes out.

Author | Lao Dian

Listening to your words is better than listening to them.

Casey left AC Milan on a free transfer before this season. He had been at the club for three years. In an interview published earlier, the midfielder discussed the difference between Milan and Barcelona. He said that the goal is the same, winning is the only thing, but other aspects are very different.

"I want to say that they are two very different ways of playing football and their understanding of football. Here, Barcelona is more technical. The same is winning, yes, but not in every way. Barcelona is very demanding of good scenes, and every player should have a wonderful performance to do this. In Milan, it’s different, everything is more direct. But the most important thing is the result. The constant is that in these two clubs, you have to win, of course.

Barcelona is currently ranked first in the La Liga standings. After a little struggle at first, Kathy has gained a foothold. Therefore, it is unlikely to return to Milan (or join Inter).

Mbappé escaped the red card before the lore! Hook down the opponent+revenge kick yellow VAR not changed.

On March 12th, Beijing time, Paris Saint-Germain beat brest 2-1, and Mbappé scored in the 91st minute, but before that, he was almost sent off with a red card!

Mbappé has become the top scorer of the team history in Greater Paris. However, against Bayern in the Champions League, he got nothing, only stopped in the top 16 and missed the big ear cup again. The battle with brest was a good opportunity for Tim to prove himself again. He put on the captain’s armband and performed quite well.

In the 37th minute, Great Paris broke the deadlock on the field, and the goal came from Mbappé’s long-range shot hitting the post, and Sohler shot back into the net. In the 62 nd minute, he didn’t pass it to Messi after stealing in the restricted area, but chose to shoot with his right foot, but unfortunately it was outrageous.

In the 86th minute, when Mbappé was fighting, he hooked Belko Bula from behind, and the latter hugged General Mu’s left leg. Mbappé retaliated and kicked Belko Bula. brest midfielder immediately stood up and theorized, and the two sides clashed!

In the end, the referee on duty presented a yellow card to each of them, and after VAR intervened, there was no revision. However, Tim can get a red card for this retaliatory kick, can’t he?

Five minutes later, Messi went straight to the goal, and Mbappé scored the winner after passing the goalkeeper, becoming a hero in Paris, scoring 40+ goals for four consecutive seasons, ranking first in Ligue 1, which is also the 3000th goal in the top league in team history.

Terzic: After losing to Chelsea, Dortmund criticized himself and wanted to win the Ruhr Derby with all his strength.

Live broadcast on March 11 th, Beijing time on Sunday morning, Dortmund will usher in the Ruhr Derby against Schalke. In an interview before the game, Dortmund coach Terzic talked about the game.

Terzic said: "Derby always comes at the right time. Not only are we looking forward to it, but the whole Ruhr area is looking forward to it. This is a regular game, but the atmosphere and intensity of the game are different. It is meaningless to look at the league rankings of the two teams. Schalke’s performance is very good and he will try to put pressure on us. "

"After being eliminated by Chelsea, we were disappointed. We criticized ourselves and now we are very eager to win. There are still 14 games this season, including 11 Bundesliga games and 3 cup games. We hope to win in these 14 games. "

This is Alai’s first time to participate in the Ruhr Derby, and Terzic said: "This is the competition they want to participate in. When they join Dortmund, they want to participate in such a competition. This is a very special game. When the football game is defined with a new name, you will know the importance of the game. After defeating Leipzig last week, the fans asked us to win the derby, and we don’t want to live up to their expectations. "

9.3.2 Another computing machine 2

This book regards the conceived language machine as the latest development of language media system tools, and language machines can also be analyzed and compared in the history of computing machines.

When Turing conceived the Turing machine, he began by observing the process of people’s calculation on paper with pens. The Turing machine device conceived was used to simulate the behavior of human beings in the calculation process. Turing machine models calculation problems by establishing rules about symbols, internal states, and how input and state determine output. Simply put, given the input, Turing machine can output regularly. The idea of Turing machine is more from the machine, which is reflected in the fact that the atomic operation of Turing machine is based on a character: reading a character, making judgment and processing, and the output is only a character or no output. This is unnatural to understand from a human perspective. The object of concern in manual calculation operation is various expressions, which may be a single symbol only under certain circumstances. In this book, we regard calculation as equivalence in expression-substitution as a calculation operation. In an abstract sense, Turing machine’s output from input to rule can also be regarded as a replacement operation. Only the substitution of a single symbol is not a human computing behavior pattern. The effect is the same problem, usually Turing machine needs to establish more rules.

As mentioned earlier, Turing machine is equivalent to Chomsky’s type 2 grammar. The basis of Chomsky’s grammar theory, such as production rules, is also a substitution operation in nature. Chomsky’s grammar theory forms the grammatical basis of modern programming languages. A few months before Turing submitted his paper, the American mathematician alonzo church (June, 1903–August, 1995) submitted his paper "Explanation on Deterministic Problems", which also proved that there was no solution to the deterministic problems. Qiu Qi’s argument is based on Lambda calculus. Qiu Qi’s Lambda calculus is equivalent to Turing machine’s computing power. By studying the theory of Lambda calculus, we can find that the operation of calculus is obviously embodied in recursive symbol replacement. Through more investigation of the history of computing machines, other computing machine models based on similar replacement operation designs can be found. Turing machine thought does not explain where the rules from input to output come from, which is regarded as open. Church’s Lambda calculus theory, Chomsky grammar theory and other theories and models are also considered from a specific technical point of view. In this book, calculation is not studied as an independent topic, but in the context of the use of symbols. The replacement rules on which calculation is based can be classified as equivalence relations in knowledge or facts, including existing equivalence relations and potentially derivable equivalence relations. The background on which this book is based enables machines to be used as tools for language media systems.

Modern computer is an engineering realization of turing machine, and turing machine is not only realized by modern computer. The processing of modern computers is ultimately decomposed into arithmetic and logical calculations. Turing machine theory itself has no such requirement, which is only determined by the technical route. The consistency of binary system and its calculation in symbol and physics has brought modern computers. In the concept of language machine, the process based on substitution-transformation can have special advantages in terms of the efficiency of calculation execution. Because it can operate directly on any level of expression, it reduces the process of decomposition back to atomic operation. A substitution-transformation operation in expression corresponds to many times of atomic arithmetic, logical calculation operations and corresponding internal communication of modern computers, and theoretically, the consumption of space and time will be smaller.

Using the present computer, it is possible to simulate the ability to perform substitution-transformation operations at the expression level, or to package a programming language based on substitution-transformation operations. For the goal of language machine, these schemes have only limited verification significance. First of all, this brings some kind of cycle: virtual replacement-conversion operation based on logical and arithmetic calculation, and logical and mathematical calculation based on replacement-conversion operation. Conceptually, this book thinks that substitution-transformation is a more basic operation than logical and arithmetic calculation. Secondly, it sacrifices the possible efficiency advantages of language machines. The conception, design and implementation of language machine may draw lessons from some current computer technologies, and the overall use mode is difficult to be compared with the use of von Neumann machine. It can be predicted that the language machine will be realized, and its ability will not exceed that of a universal Turing machine, which does not constitute a key evaluation of the language machine. What the language machine pursues is the effects that can be brought by the new man-machine collaboration, which are first of all for people.

If the language machine is finally realizable, will it be dedicated or can it be used as a new universal machine? It is too early to think about such a problem now. It can be seen that the discussion in this book is basically limited to the scope of theoretical knowledge. By comparison, the application of computers is mainly in the fields of technology and engineering. In the problem solving in these fields, many problems are not typical calculation problems; Empirical rules are equally important for solving all kinds of problems, and they are not all deducible from theory. This book is to understand the language machine from the perspective of language tools, and to support people’s use of symbols is always the first. On the other hand, once the machine shows some potential, people will try to maximize the potential of the machine, which is easier to carry out and may be counterproductive to the goal of using human-oriented symbols by the machine.

In application, the depth of language mechanism and content of language machine is related to the problems considered by artificial intelligence at present, so the two can also be compared. Fundamentally, their ideological starting points are different. The primary goal of language machine is to replace tools such as paper, pen, ink and computer to support the construction and use of human language and realize more effective use of human language with the help of tools. Contemporary artificial intelligence generally uses machines to simulate the intellectual behavior of the human brain, so that more jobs that were originally done by people can be replaced by machines. This book regards human intelligence as developing or expanding with the use of symbols, rather than a roughly fixed model that can be imitated and replaced by machines.

While better cooperating with the use of symbols by human beings, the knowledge possessed by human beings and machines can be more and more similar, and the knowledge possessed by machines can exceed the capacity of any human individual; In the past, more and more symbolic regular operations performed by people can be performed by machines, and they are more efficient; At this point, it is no problem to say that the behavior shown by the machine is intelligent. Let’s look at a concrete example, the relationship between category and instance. A is a category, and X is an example under the category. We say that X belongs to A, and the word "belonging" can be understood by interpretation. It is doubtful whether the understanding formed by this explanation is really effective, and it is impossible for us to explain the machine like this. Now, we can realize such a mechanism: X is an example under category A, which contains any proposition of A. You can replace A with X, and the proposition still holds. This substitutable relationship can be actually implemented by the machine in a specific context. From the operational sense, the language machine shows that it has understood that "X is an example under category A". Machines don’t understand whether symbolic units have meaning or not, just like people do. On the other hand, an important sign of understanding is to know how to operate symbols.

A popular view is that modern computers are good at dealing with structured and regular knowledge, but they are not good at dealing with unstructured and open knowledge, such as common sense. With the development of machines in the latter direction, we can understand and imitate human intelligence more. First of all, this book does not think that a perfect understanding of structured rule knowledge has been established, and this theory has been disintegrated in machine application. Modern computers began with computing as an independent theme. To this end, this book has established its own theory, the core point is: knowledge is expressed based on equivalence relation, and calculation is based on equivalence relation. On this basis, we discuss how to build knowledge in the machine, thus making the machine have deduction ability. What is important is the structured and regular knowledge, which corresponds to the expansion of human intelligence and cognition by symbols. From the perspective of the division of labor between machines and humans, it is a reasonable way to improve or innovate tools to enhance this expansion.

The emphasis on common sense makes natural language a core theme of artificial intelligence. Through the establishment of a complex language model and statistical calculation on a large number of corpus, the machine also shows a certain language processing ability. From the economic point of view, these advances can be of great value. Most white-collar jobs are fixed jobs and do not need real creativity. It is possible that these processes are close to some parts of human intelligence, but this will not be the core part. The deductive ability of a language machine, ideally, can calculate all possible conclusions from the currently known theories and facts. This ability is the part of human intelligence expanded by symbols. This book only re-understands and realizes this part of intelligence as a more general way.

When the system we build shows that we can name, define, form new cognition and express, and ask questions, we can probably say that it is close to the core of human intelligence. This may require more systematic research, and a continuous understanding from perceptual experience to symbol system and from natural language to abstract symbol system can be established before we can find out whether there are some forms of intelligence that always depend on it. This book is more concerned about whether we can develop new forms and ways of using symbols, so that human beings can use symbols more efficiently.

AIGC exploded, and the demand for AI servers in Ningchang was soaring.

With the countdown to the release of Baidu Wenxin, AIGC is bound to detonate the technology circle again. Li Yanhong, founder and chairman of Baidu, said in an internal letter after the release of the financial report: "AI technology has developed to a critical point, and all walks of life are inevitably changed. The China AI market is about to usher in explosive demand growth."

If 2022 is the first year of AIGC, then 2023 will usher in the outbreak of AIGC, and the enthusiasm for AI applications such as ChatGPT of OpenAI, Wen Xinyi of Baidu, and Yuyan of Netease Fuxi’s Chinese pre-training model will inevitably lead to a new round of fanatical demand for AI computing power.

Zhao Lei, vice president and CTO of domestic server manufacturer Ning Chang, pointed out that as far as ChatGPT is concerned, TB-level computing training library or even P-Flops computing power is needed. "There is no such thing as ChatGPT, and artificial intelligence computing power is never enough." Zhao Lei admits that the AI industry will need at least 100 times more computing power in the next 5 to 10 years.

At present, under the trend of digital transformation, enterprises’ demand for computing power is increasing, and there are many uncertainties in the development of the industry. What enterprises need more is computing power that can face increasingly complex application scenarios and balance the current business needs and future development needs.

As an AI computing expert, Ningchang provides computing solutions for users through its own technical capabilities and product solutions. Ningchang product series has covered all products such as artificial intelligence server, general server, edge server and multi-node server, meeting the needs of different scenarios and realizing flexible customized configuration. In addition, based on the existing industry energy-saving pain points, Ningchang provides traditional air cooling, cold plate liquid cooling and immersion liquid cooling and other multi-scenario cooling methods. Taking a computer room with a total load of 10MW as an example, Ningchang liquid cooling scheme can help users save 15.8 million yuan in electricity bills every year.

Go their separate ways after three months? Meme teamed up with the 300th assists of the king’s career.

After cleaning icardi and Sarabia, Paris’ goals this season depend entirely on NMM Trident. Now that Neymar has been reimbursed for the serious injury season, Paris can only rely entirely on Messi and Mbappé. In the face of Bayern, the overall strength of Paris is obviously insufficient, and Messi and Mbappé failed to create miracles. When facing brest tonight, the familiar Meme’s flirtation appeared on the pitch again. Thanks to the excellent performances of Messi and Mbappé, Paris won a 2-1 away game.

The first goal in Paris belongs to Sohler, but the real heroes are Messi and Mbappé. Paris’s conventional offensive means can’t break Brest’s iron drum array. The key to breaking the game is the two superstars on the front line. Messi made a breakthrough on the right. After attracting many people to defend, he sent the ball to the top of the arc in the penalty area, and Mbappé was in a defensive vacuum. Mbappé’s subsequent long-range shot, though at a positive angle, was surprisingly powerful. Bizot managed to save the ball and finally got rid of it, which led to Sohler’s follow-up shot.

After the Paris defence unexpectedly gave gifts again, Meme made a pass to help the French leader score the winning goal in the 90th minute. This goal stands out as a clean one. When receiving a direct pass from the backcourt, Messi shook his left ankle slightly on the right side of the midfield, while Mbappé pressed the offside line in the middle to start the sprint. When Mbappé got the ball, he didn’t have any defenders around him, only the goalkeeper Bizot was left in front of him. Mbappé easily broke through Bizot with a vertical acceleration, and the Frenchman then pushed the ball into the empty net. In a flash, Messi and Mbappé decided the trend of the whole game.

This goal is the 3000th goal of Paris in the top league. This assist is the 300th in Messi’s career. He assisted 269 times in Paris and 29 times in Paris. In the five major leagues this season, Messi has assisted 13 times, and he beat Braune to lead Europe. This goal is Mbappé’s 40th goal in the club and national team this season. Mbappé has scored 40+ goals in four seasons, and he is the first French player to do this in five major leagues. Mbappé scored 138 French goals for Paris, tied with cavani for the first place in history, and tied Lille striker David with 19 goals in the French top scorer list.

After nearly two years of cooperation, Messi and Mbappé obviously have a better understanding. However, judging from the current situation, the probability of disintegration of NMM Trident in Paris after three months is quite high. Messi’s contract is about to expire, and at present he prefers not to renew it. Mbappé and Real Madrid had an affair again, and Neymar was pushed into the transfer market for the nth time. This group of tridents, which had high hopes, failed to achieve the expected success because of the top-heaviness in the Paris lineup. Paris missed the quarter-finals of the Champions League for two consecutive seasons, and this transcript is not a pass anyway.

Build a "national minority" for Tianjin in ten years

On the court, the dream-chasing football teenager showed his style with flexible dribbling, sharp breakthrough, powerful assists, wonderful shooting and persistent defense. Think about how happy children are now to be able to play in such a professional venue-even if they lose the ball in the game, the coaches on the sidelines are actively encouraging them … In recent seven years, Tianjin Football Association has focused on youth training, which has achieved increasing results.

A few days ago, the 2022 Tianjin Youth Football Top 100 "Stars of Hope" Awards Conference hosted by the Municipal Sports Bureau and hosted by the Municipal Football Association was held in the lecture hall of the Municipal Sports Bureau. This is the seventh consecutive year that Tianjin has organized the "Stars of Hope" selection activities.

In the selection and testing of "Stars of Hope" in 2022, the Municipal Football Association selected 167 people to participate in the selection according to the performance of municipal youth football matches throughout the year, and finally selected 100 "Stars of Hope" in the year through physical special tests and group competition tests.

"Star of Hope" has set a benchmark and an example for football teenagers in Jinmen and inspired many teenagers to dream of greenery. Through the selection of "Star of Hope", a football youth training system with Tianjin characteristics has been formed, which has further promoted the training of Tianjin youth football reserve talents, laid a solid foundation for the development of Tianjin football youth training, and inspired all sectors of society to pay more attention to and support Tianjin football youth training.

Since 2016, Tianjin has held 7,692 youth competitions, with a total of 54,801 participants and 4,434 teams. In the past seven years, a total of 700 players have emerged as the "promising stars" of Tianjin youth football. Starting from 2017, the Municipal Sports Bureau and the Municipal Football Association will also select the "Star of Hope" team to go to Spain, Serbia, Brazil and other football countries to carry out training competitions and exchange studies, feel the football atmosphere, receive on-site guidance, encourage young players to strive to improve their technical and tactical level, and enhance their determination and confidence to strive for Tianjin football.

Although Tianjin has been changed into a city of volleyball, we are delighted to see that Tianjin Football Youth Training has not been depressed, but the system has been continuously improved and developed, which has consolidated a strong population base of Tianjin mass football. More and more rich events make the coverage of local youth football increase, the competition system improve and the competition level improve. Maybe in the near future, we can really get out of a few young players with national prefixes.

These seven years are seven years in which the staff of Tianjin Football Association have worked overtime and worked hard. It is a 7-year joint struggle of Tianjin Football Associations at all levels and districts; It has been seven years of joint popularization and promotion by schools, parents, coaches and other enthusiastic football professionals. These seven years are also seven years of self-dedication of many retired footballers Do not forget your initiative mind. It is the joint efforts of friends from all sides that have promoted the development of Tianjin youth football training in a professional, high-level and deep-seated direction, and vigorously cultivated many excellent reserve football forces.

Chong Yong, vice chairman of Tianjin Football Association, thanked all the friends who loved football and contributed their strength. He told Xibaile Football that with the support of the leaders of the Municipal Sports Bureau, Tianjin Football Association will intensify its efforts this year to make every holiday and weekend a stage for amateur mass football, and strive to set several representative youth training echelons as benchmarks to inspire everyone to make persistent efforts.

He believes that it is equally important, and even more important in a sense, to popularize the youth football population while doing a good job in cultivating football elites. "So we should focus on the cultivation of competitive elites and popularize the football population at the same time, which is the long-term solution for the cultivation of football talents."

Miguel has made an appointment with all the teams in Tianjin.

[Year-round Games] Every Saturday from 2 pm to 4 pm

Nine-player system

[Cost] AA system with referee

[April 22nd] 5Monthly simultaneous reservation

In the years of development, Tianjin Football Association regards improving players’ skills, grasping basic skills training as the "top priority", and taking "practicing all-round skills, practicing all-round skills, and practicing skills in running and confrontation" as its team training purpose, and constantly improving players’ development concepts, competition concepts, training concepts and coaching concepts. By hosting various football matches, Tianjin Football Association is committed to popularizing football, promoting scientific and healthy football development concepts, promoting the establishment and development of grass-roots football social organizations, and expanding the football population through matches. Nowadays, echelons of all ages have performed well.

"It’s very nice here. The coach is very professional and the venue conditions are good. The supporting guarantee during children’s training is also very well done. " Xiao Pang has been one of the top 100 teenagers for years, and his father is particularly proud. As a participant and witness of Tianjin youth training, he told Xibaile football reporters that he especially supported the Football Association in promoting teaching by competition, promoting learning by competition, creating a training atmosphere combining theory with practice, and promoting the integration of training and competition, and the children all benefited a lot.

Xiao Guo was elected for the first time this year. He said that he could wake up happily in his dreams. His parents agree with Pang’s point of view. He said that during the training and competition, he saw many small players around him improve their technical and tactical level and gain their own breakthroughs and progress.

Yang Cheng, Bo Yue, Bo De … The future football youth training in Tianjin can be expected. Wait, the future u20, Tianjin doll will take the lead.

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