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Jankovic angrily left! Jia Desong wronged? The truth is revealed! Super League celebrity 1 words Taishan heartbreak.

Shandong Taishan has just changed coaches, and Tianjin Jinmen Tiger has also maintained a good competitive state. It was originally a high-profile Super League focus battle, but the referee’s blowing penalty completely changed the taste of the whole game, especially the control of the referee in stoppage time, which directly changed the taste of the game.

Jia Desong, the main central defender of Shandong Taishan, and Fabio, the assistant coach, were both sent off with red cards! Beric was also beaten with a broken nose and was taken directly to the hospital.

In the last round of stoppage time, Shandong Taishan got a corner kick. In order to grasp the last chance, almost all the players in Shandong Taishan concentrated in the restricted area, and Tianjin Jinmen Tiger also made a strong defensive posture, especially for several high points of Taishan team, and strictly guard against sticking to the ground!

Beric single-handedly defended Jia Desong, who tried to push Beric away in order to have space to compete for the landing place. But at this time, Beric grabbed Jia Desong’s jersey and stuck himself on Jia Desong’s body, so that he could not take off easily. Just when Jia Desong wanted to get rid of Beric abruptly, Beric directly kicked Jia Desong in the upper leg and ignited Jia Desong’s anger!

After the corner kick came out, the two men scrambled for the landing spot at the same time. Whether intentionally or unintentionally, Jia Desong raised his hand and directly hit Beric’s face. While Beric fell to the ground in pain, the referee Liu Wei also blew the whistle of the whole game. Under the dissuasion of Fernando, Jia Desong quickly went to the lounge.

At this time, the var referee reminded Liu Wei, the referee, that Jia Desong’s action could directly give a red card. Although Liu Wei went to the player channel, let Jia Desong come back quickly. Players, coaches and Tianjin Jinmen Tiger in Taishan, Shandong, all surrounded the referee and expressed their inner anger. Assistant coach Fabio stood in front of Liu Wei, and even tried to fight for the red card in Liu Wei’s hand, which was directly shown by Liu Wei. Jia Desong, who then returned to the court, did not escape the fate of the red card. Liang Xu, who is a famous Chinese Super League, said frankly:Jia Desong’s action will be punished at least three to five times, or even more than five times!

This assertion is very difficult for the fans of Hot Mount Tai to accept. First of all, the reason why Jia Desong made such a radical move was entirely because the other side ignored the rules too much and the action was beyond the scope of football. Secondly, as the core of the defense line, Jia Desong is irreplaceable. Jia Desong’s personal ability is still the strongest in the Taishan team’s defense. He keeps an eye on the arrows on the opponent’s front line, which is often reassuring. But once banned for many games, who can shoulder this burden in the future?

The last scene was a farce. You know, this game attracted a lot of media attention, especially the national football coach jankovic. And after witnessing all this, I don’t know how jankovic will feel.

Throughout the game, the two teams played very well, but the referee’s control of the scene was very unsatisfactory. In addition, many blowing penalties are also ambiguous. Both the home team Tianjin Jinmen Tiger and the visiting team Shandong Taishan have suffered a lot of grievances, which explains why the anger between the two sides has been so great.

Jankovic, who had been in the stands, was in a good mood, but the more he got to the back of the game, the more serious his expression became, until after the farce, jankovic shook his head and got up and left directly. Obviously, jankovic is very dissatisfied with the present scene! Everything behind the scenes is obviously caused by the referee.

About the referee of the Super League, his professional level and ability have been controversial. There have been many controversial penalties in this round of leagues alone. For example, in the match between Shenzhen team and Nantong Zhiyun, at the last moment of the game, Shenzhen launched a quick counterattack, and Archimpen was directly knocked down by Nantong Zhiyun’s goalkeeper Shi Xiaodong. Instead of punishing Shi Xiaodong for a foul, the referee thought that Archimpen had collided with the goalkeeper. Guan Zhen, the coach of Shenzhen goalkeeper, was directly sent off by the referee for protesting the referee’s blowing penalty. After the game, head coach Chen Tao was still indignant!

Another example is the match between the three towns in Wuhan and Chengdu Rongcheng. Stanciu broke into the restricted area and was tripped by the defending palacios. Because the referee was close to the incident, he did not give a penalty at the first time. Then, after being reminded by var and replayed for a long time, palacios was considered to have fouled and gave a penalty to three towns in Wuhan. But judging from the slow motion, there must be contact between the two people, but palacios’s action will not directly put Stanciu down. It can only be said that Stanciu’s experience at this time is still very rich. However, after the game, most fans did not recognize this penalty and once attacked the referee.

Finally, in the Beijing-Shanghai War, Shanghai Shenhua faced Beijing Guoan at home. The Football Association attached great importance to this game and sent Ma Ning, the best referee at present. However, Ma Ning’s several controversial blows directly annoyed Wu Jingui. After the game, Ma Ning actually left the stadium under the escort of many security personnel. This scene looks very sad.

When we talked about football in China, our first impression was that it was no good and the skills were very poor. Yes, the backwardness of football in China is related to the players’ own skills, their ability to understand the game, and the bad football environment in China. But have you ever thought that in our top leagues, referees are also a part of China football? If our referee level is poor, how can we ensure the team to play in a fair environment, and how can we make the players’ hard work pay off?

Therefore, the relevant departments should not always stare at the players and teams to rectify, but also check these referees carefully, and the relevant departments of the Football Association should also conduct strict assessment on these referees from time to time. If the professional ability is not good, it is necessary to formulate stricter punishment measures!

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.

Yupamecano: We really like defense. We have to keep a clean sheet again in the end.

Live on March 12th, the Bundesliga game ended before, Bayern beat augsburg 5-3 at home. After the game, he was interviewed in Pamekano.

Hupamekano: "Every game is difficult, but we really want to win. Augsburg did well, but we played well in this match. It is important to get three points today. Our communication on the defensive end is very good. We really like defense. We have to keep a clean sheet again. "

(mageth)

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).

Cloud giant Salesforce is introducing ChatGPT function.

KlipC reports: With the global explosion of ChatGPT, American cloud service giant Salesforce has also set foot on the last bus of this storm. It is reported that Salesforce, the world’s largest CRM software service provider, launched a $250 million (about 1.74 billion yuan) venture capital investment fund on Tuesday local time, aiming at generative artificial intelligence start-ups.

According to Salesforce, the company will integrate artificial intelligence technology into the new version of software products to help enterprise personnel complete their jobs efficiently. The target customers are startups that are developing technologies similar to ChatGPT, which can be used with their commercial software applications.

According to informed sources, Salesforce began to cooperate with OpenAI’s language model team more than a year ago, but the recent popularity of this technology in the industry has prompted the company to advance its timetable and let customers enjoy some black technology as soon as possible.

Andi Duan, a partner of KlipC, said: "Since the advent of ChatGPT, there has been a storm in the technology industry. Many top technology companies have used people’s interest in generative artificial intelligence technology to launch new products. This trace once again shows that AI assistants will become ubiquitous in daily life."

However, the text generated by OpenAI’s generative artificial intelligence technology may contain wrong information. For solving such problems, Salesforce has taken several measures to avoid misleading users. For example, users still need to edit and modify answers, and Salesforce also limits the range of inventory information used to generate answers.

Wall Street analysts said in an interview with KlipC: "ChatGPT’s AI competition has recently been launched all over the world, including many top technology companies such as Microsoft, Google and Meta. With the upsurge of people’s interest in generative AI technology, the issue of moral safety has also caused controversy, and the current chat bots and language models are not mature, which has also made many related manufacturers and enterprises adopt a more cautious attitude."

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.

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.

Will artificial intelligence reduce human creativity?

This is a controversial topic. As an efficient and intelligent tool, artificial intelligence can help people complete some tasks that require a lot of calculation and analysis, such as natural language processing, image recognition, data analysis and so on. In the past, these tasks may require human beings to invest a lot of time and energy, but with the development of artificial intelligence technology, these tasks can be completed more quickly and accurately, thus saving human time and energy and enabling people to concentrate more on creative work.

However, some people think that artificial intelligence will reduce human creativity. Because artificial intelligence is a "non-human" technology, its working principle and thinking mode are different from human beings. Some people think that when people rely too much on artificial intelligence to complete certain tasks, they will gradually lose their creative thinking, because they only need to complete tasks according to the guidance of machine learning algorithms, and do not need to think about solving problems themselves. This kind of mechanical repetitive work may make people gradually lose in-depth thinking and creative solutions to problems.

However, some people think that artificial intelligence will not reduce human creativity, on the contrary, it will stimulate human creativity. Artificial intelligence can process a large amount of data quickly and accurately, and extract rules and patterns from it. These patterns and patterns can be used as inspiration for human creative thinking, so that human beings can better understand problems and find solutions. In addition, artificial intelligence can accomplish some mechanical repetitive work, so that human beings can be more involved in creative work, which will promote human creativity.

Therefore, whether artificial intelligence will have an impact on human creativity still needs to be observed and explored. While using artificial intelligence, we also need to keep our creative thinking and play, and constantly look for innovative ideas and methods to meet the ever-developing social needs.

Cancelo’s field data: passing and shooting, winning the confrontation 10 times, stealing 5 times and shooting 4 times.

Live broadcast on March 12 th In this round of Bundesliga Bayern’s 5-3 victory over augsburg, Cancelo played well and made contributions. The following are his specific data in this field:

The success rate of air confrontation is 100%

87 touches of the ball

Win the confrontation 10 times.

Eight times the opponent touched the ball in the penalty area.

Seven passes into the opponent’s restricted area

Win back the ball five times

Five steals

Four shots

Second clearance

I have passed twice.

1 goal

1 assist

(Chenpi is not orange)

In the two months since ChatGPT exploded, artificial intelligence has also become a "hot word of digital practice" in 2023.

Produced by: 36Kr Digital Time Krypton, 36Kr Enterprise Service Comments

Author: 36Kr figures when kryptonite Arjun.

Technical Support: 36Kr Enterprise Service Review Zhang Xuehui

**

What exactly is "digitalization"? A thousand people may have a thousand answers in their hearts.

What is the characteristic answer of 36Kr? We imagined a variety of schemes to describe digitalization, and finally chose this scheme now-tracking the public publicity reports of 662 listed companies and counting the "hot words of digitalization practice" involved.

These "hot words of digital practice" also reflect these well-known companies’ understanding and practical choices about digitalization to a certain extent: behind every practice is the real investment of manpower, material resources and financial resources, and every report often means that these digital practices are positively and negatively related to the company’s business or brand. It is for this reason that this series has the value and significance of continuous observation.

This article is the statistics of related data from January to February, 2023.

According to the statistical data of 36Kr, the most noteworthy trend in January and February is that ChatGPT and artificial intelligence, which continue to explode, have also affected the digital practice propaganda of these well-known enterprises, and many companies have also begun to publicize the application or influence of artificial intelligence in company digitalization. It can be seen that the word frequency of last year’s hot word champion "Metauniverse" dropped rapidly in January, but "artificial intelligence" showed a growing trend.

But this does not mean 100% that large enterprises are "chasing the wind". On the one hand, the practice of digital intelligence often takes a certain period. In recent years, AI has gradually matured in the industry. Some enterprises did adopt artificial intelligence technology in their previous digital intelligence practice, which is why they have propaganda materials. On the one hand, it also fully shows that large enterprises and the capital market behind them attach importance to artificial intelligence. In addition to the 662 companies under our monitoring, many companies have also announced artificial intelligence-related businesses or cooperation, especially ChatGPT-related businesses and cooperation.

Monthly frequency change of hot words

According to statistics, from January to February, 2023, the Top 10 of "digital practice hot words" was:

  • artificial intelligence
  • AR(Augmented Reality)
  • VR(Virtual Reality)
  • mix reality
  • Metaverse
  • 5G
  • big data
  • cloud computing
  • industrial internet

January-February, 2023 "Digital Practice Hot Words" TOP 10

According to the previous related research (160,000 public articles in 10 years, we found the digital secrets of 662 most valuable companies in China), Metauniverse, Artificial Intelligence and Augmented Reality became the most popular digital practice technologies for large enterprises in 2022), we can find that the Top 10 of "digital practice hot words" is relatively stable.

Since 2017, some mainstream technical terms, such as augmented reality, 5G, artificial intelligence, virtual reality, etc., have basically maintained a high ranking and popularity, and have remained in the top 20. As shown in the figure below, before, we counted the annual word frequency ranking of some popular words, which basically showed this stability.

From the eighth place, the number of word frequencies plummeted. This shows that large companies are willing to try some new technologies, but their investment is not sustainable and stable. This also shows on a certain side that it is often not easy for startups in the field of enterprise services to expand large companies.

(End of this article)

If you are interested in more concrete data of practical hot words, you are welcome to contact us (cdomkt@36kr.com) for relevant data or charts.