On December 1st, the first work "Sleepwalking" developed by Aauto Quicker’s game brand "Finger flick Universe" finally started its first test.

In the eyes of many people, this work represents the highest level of self-research in Aauto Quicker after the game business upgrade. Moreover, Sleepwalking also has a feeling of "the sword is biased" in terms of game types, and chose to build a high DAU product with Roguelite+ARPG as the core.

These factors make Sleepwalking very valuable for research: using GaaS(service game)Is it feasible to make a pure Roguelite?

Let’s look at it bit by bit.

I have to say that Sleepwalking chose an almost perfect theme. In the plot, as a "dream catcher", players have the ability to move freely in dreams, so they will continue to go deep into various dreams to find and solve the secrets and problems of the dream owner-the game therefore adopts the classic narrative method of unit drama+dark line.

In addition, the two concepts of dream and reality, which reflect each other and contradict each other, frequently appear in the plot of the game, which is naturally suitable for discussing various philosophical issues.

For example, in the first chapter of the game, the story discusses the unknown topics about fear and challenge with the help of "deep sea dream";

The second chapter also talks about the concept of money in the dream of getting rich.

With the contrast between exaggerated dreams and reality as the background, players are not so easy to feel "lectured", but more naturally think about life with the game-the plot that allows players to think actively is no worse than those works that rely on adrenaline.

The combat system of Sleepwalking requires players to play three "dream spirits"(role)Each character has three skills: general attack, survival and characteristics. At the same time, each character belongs to one of the six schools, which correspond to different offensive styles, such as melee, barrage, ray, call, encirclement and circle.

At the same time, the "echo" that players get in a single game.（BUFF）Most of them belong to one of these six schools-this setting is easily reminiscent of Hades, and Sleepwalking also draws more lessons from the mechanism of this classic work, such as the design of some rooms and statues that can trigger time-limited challenges and get rewards.

For example, a famous scene like "Xiuluo Field"

Roguelike, a game category, has experienced decades of iteration, and imitation and reference have long been commonplace. The classic Roguelite "Hades" derived from it is also the object of study for many developers. The new knowledge of the game has also been summarized. The imitation of many works only stays at the level of "randomly appearing BUFF by genre", but it can’t "reflect the design sense of the game with random mechanism".

Sleepwalking has made some targeted designs to avoid players being forced to choose the optimal solution, specifically to minimize the importance of "genre theme".

Many similar games are designed with the collocation depth of "1+1>2" in mind, while Sleepwalking emphasizes "2+2=2*2" on the basis of a small amount of "1+1>2": most buffs are designed to add tricks to the player’s character performance, and even some buffs with combined effects will not be so powerful that the player can’t help it after numerical design.

This mechanism also liberates the freedom of players in team matching. There is absolutely no need for the characters in the player’s squad to belong to the same genre, because doing so does not mean higher intensity, not to mention that any two characters in Sleepwalking have a linking effect, which will be triggered after a sufficient number of BUFF are collected in the game.

Under the comprehensive influence of various mechanisms, "Sleepwalking" rarely exerts a sense of anxiety on the player’s role intensity in the process of single game. Players can either plan the specific gameplay in advance and choose the desired construction method tendentiously, or give up thinking after playing the same routine, close their eyes and concentrate on mowing the grass.

This is another design idea. Sleepwalking hopes to directly create a fresh sense of He Shuang with randomness, thus bypassing the hard-core and difficult-to-give-up feature of "players need to learn through constant failure" in fundamentalism Roguelike.

At this time, we should be able to understand more clearly the phrase "sweeping 1.4 billion dreams" when Sleepwalking was published. It doesn’t need many complicated and obscure rules and mechanisms, but it only needs to design different themes and then put them together and collide with each other. The "unrestricted" theme also allows Sleepwalking to give full play to this aspect.

Following this line of thinking, the next problem that Sleepwalking needs to solve is how to effectively show its strengths and let players try more diverse content.

There are still many details that can be polished in a test of Sleepwalking. For example, one of the two sides of the aforementioned "2+2=2*2" is that players will encounter "difficulty in choosing". Let me give an extreme example:

Which one should I choose?

At this time, I thought of Hades, and only a small mechanism was needed to solve the problem.

I don’t believe that we can still choose difficulties in this way.

A big problem in the combination of GaaS and Rougelite is the design of nurturing system: it can increase the depth of the game, but the overweight nurturing system will also make the game deteriorate.

"Sleepwalking" has not become a substantial development game like many Roguelite mobile games. Its cultivation system is very familiar, including role level, skill level, overlapping cards and equipment.

Players who are familiar with the two-dimensional card-drawing mobile game may have begun to feel bad, but in fact, except for the upgrade, the improvement of other cultivation elements is not too great: the full-level skill is only about 50% higher than the initial level, and the player’s most feared card stacking is mainly used to improve the rarity of the role’s corresponding BUFF, and the numerical value is not particularly obvious.

The test of Sleepwalking only lasted less than 4 days. Theoretically, the long-term gameplay does not belong to the focus of this test, but the new knowledge of the game still feels some ideas: grading the gameplay and making the gameplay with lower level become the cultivation process of the gameplay with higher level.

This "lower level" gameplay is the Roguelite main gameplay that we are all familiar with: destroying enemies in fixed-length checkpoints, managing BUFF and resources, and challenging the final BOSS. On the settlement page of the main game after customs clearance, players can choose to save the lineup status at customs clearance to form a "seal".

Imprinting can play a role in other gameplay. For example, there is only one BOSS in the actual process of a short material level. At this time, players only need to choose the pre-saved imprints to directly challenge with the customs clearance team.

This idea can be said to be multi-faceted: special levels create demand for engraving for players, so players get the motivation to play the main mode and explore new construction methods; After a difficult challenge, you can get a new upper limit of material unlocking, forming a spiral play curve.

In addition, Roguelike will force the player to know the progress in the game after a game, which sometimes makes the player feel unfinished-the mechanism of printing can solve this problem to some extent.

Sleepwalking doesn’t look like a game pieced together by randomly selecting several labels. Aauto Quicker’s "highest level" does have something.

I hope Sleepwalking will bring us more surprises in the future.

He added that Liverpool hope to play in the Europa League for most of this season, not the Champions League. But his team arrived at Anfield on Saturday, winning seven games in a row and entering the top four.

"We haven’t been good enough for too long," the German coach said in summing up this season. "I think we made it very exciting. Seven weeks ago, I thought it was impossible. The boys behaved very well in that period.

"I think people like it, too. You can see that they are not angry with us today. They are looking forward to the new Premier League season and the European League season. Me too.

At 8 pm on June 15th, 2023, the world cup champion Argentina men’s soccer team will come to Beijing Workers Stadium to play an international match with the Australian men’s soccer team.

Messi, the king of football, really came to Gundy! Never mind the ticket price, the new workers are going to blow up!

It is a satisfaction for fans to see the skills of the world cup champion with their own eyes. Disappointingly, the China Football Association also announced that the China men’s soccer team will participate in the Dalian International Football Invitational Tournament, while the national team’s opponents will be Myanmar and Palestine.

Messi is very depressed. I went to the national team with the most fans in the world, but they didn’t play football with me.

Why doesn’t the national football team play against Argentina? When the media organizer asked the Football Association, Du Zhaocai said, "There is no need for the national football team to compete with the Argentine national team. This is the confidence of the Football Association." National football team. "This may be to prevent being hit," he said.

On the day of the international football match in June, the second round of the Super League will be cancelled, and Beijing Guoan players will be able to watch Messi in the courtyard.

To put it bluntly, the football match between the national football team and the Argentine national team was disdained by the fans because of the low level of football in China. Or improve your league.

In this week’s Super League, there was a match between Beijing and Shanghai, and Beijing Guoan challenged Shanghai Shenhua away. Ma Ning served as the referee, and football coach jankovic inspected the players on the spot.

From scientist to entrepreneur, Yu Kai is not the first person to "run away" in the field of artificial intelligence.

Despite the previous achievements in scientific research, joining in entrepreneurship means facing the reality of bone feeling.

In March 2015, Yu Kai said in an interview: "If a business can get the resources it deserves to do what it wants, then choose to start a business; If you join a big platform and have more resources to do one thing, then join a big platform. " Sure enough, three months after that, he left Baidu and founded Horizon.

Yu Kai

From the initial "no one pays the bill" to October this year, Horizon successfully won the investment of 2.4 billion euros from Volkswagen, setting the largest single investment record for Volkswagen in the past 40 years, and establishing a joint venture company with audi ag’s software company. The transformation of Yu Kai’s identity can be described as unsuccessful.

Before becoming the founder of Horizon, Yu Kai’s label was the top international scholar in the field of machine learning and the main promoter of deep learning technology in China. His published papers were cited more than 20,000 times, and he won the silver award for the best paper in ICML-2013 International Machine Learning Conference. He himself also served as the domain chairman of ICML and NIPS, two major conferences of machine learning.

Yu Kai’s achievements in the academic field go far beyond this.

NEC Research Institute of the United States was once one of the major centers of international machine learning research. During his tenure, Yu Kai established a highly prestigious technology research and development team in Silicon Valley. This team is one of the earliest and most active teams in the field of deep learning in the world. A series of technologies led and developed by him have pushed image object recognition to a new level worldwide, and won many international famous awards.

After joining Baidu in 2012, the voice technology team, deep learning technology team and image technology team led by Yu Kai won the "Baidu’s highest award" three times in succession, creating records of various technical and business teams within Baidu.

In the eyes of outsiders, Yu Kai at that time, both academically and professionally, was smooth sailing.

But at this time, he chose to start a business.

Yu Kai’s reason is straightforward: "In the past three years, what I have done at Baidu is to promote artificial intelligence in the cloud. But I think there will be a bigger trend in the next few years that I have to do: from artificial intelligence in the cloud to artificial intelligence around everyone. "

Therefore, Yu Kai, who has always believed in "doing things is the most important thing", founded Beijing Horizon Information Technology Co., Ltd. in July 2015, focusing on edge computing in the field of artificial intelligence.

From the moment the company was founded, in his own words: First of all, I will forget that I am a scientist more and more.

To be a scientist, you can put the mainexperienceDo research and write papers, but as an entrepreneur, you should focus more on business and customer needs.

Yu Kai has always wanted to grasp some "truth" things in this process, for example, things that can really create long-term value. With this idea in mind, at the beginning of Horizon’s establishment, he played the slogan of "making brains for machines", and avoided the edge of the field giants, took the edge computing route, and insisted on making AI chips.

It was really hard at first.

When recalling the initial stage of starting a business and determining the development direction, Yu Kai mentioned: At that time, we were predicting a far future, a future that might take 20 years as its dimension. From computers to smart phones, and beyond, what is a bigger computing platform than these? At that time, they were sure,beRobot computing platform. AI chip is the indispensable key to realize this calculation.

Now that we hear about AI chips, it’s needless to say its importance. But when Horizon was founded, not every investor could understand the "blueprint" in Yu Kai’s eyes. As a direct result, the horizon was once unsustainable. Until smart cars become "robots"calculate"The first and biggest landing scene at present, everyone began to understand that Yu Kai had bet on it.

In 2020, smart cars ushered in an outbreak period. As a result, there is a global "lack of core" in the automotive industry.question.

A chip with excellent computing power, like a smart brain, can accurately control the behavior of the vehicle. A series of functions, such as environmental awareness, route planning, driving assistance and so on, advertised by smart cars all need to rely on chips to be realized.

This is also consistent with what Yu Kai has always wanted to do. He has always believed that the real significance of artificial intelligence is not to survive and develop as the opposite of human life, but to support people’s decision-making and enhance their ability. Once the smart car scene is broken down, this ability will definitely spill over to others.floatApplication scenario of robot.

In August 2019, Horizon announced the mass production of China’s first car-class AI chip "Journey 2";

In September 2020, Horizon officially launched the AI chip "Journey 3";

In July, 2021, Horizon released "Journey 5", a high-performance and large-computing, full-scene intelligent central computing chip for the whole vehicle.

……

Yu Kai once said, "The course of a scientist’s entrepreneurship is not based on business opportunities,FromStart in the future. "

This cooperation between Horizon and Volkswagen may be the next future in Yu Kai’s plan.

Recently, Yan Ning, a famous structural biologist, announced that he would resign from Princeton University and set up the Academy of Medical Sciences in Shenzhen. In response to the latest research that she will focus on when she returns to China, she said that the discovery of structural biology is of great significance to the pharmaceutical industry, including the research on the interaction between drugs and hormones, which has more implications for drug development and disease treatment.

Yan Ning said, for example, that through the method of structural biology, scientists saw for the first time that two commonly used drugs used protein as a "scaffold", which directly "side by side" affected the normal function of protein.

Technological change promotes the development of structural biology.

Protein, as the scaffold and main substance of human tissues and organs, plays an important role in human life activities. In the cell, a large number of protein elements form the molecular machines, which performs important molecular processes in the cell through the interaction of protein, including the cell’s response to the external environment and the internal environment, and also forms a signal transduction network system with the interaction of protein as a link.

Structure By studying the three-dimensional structure, dynamic process and biological function of biological macromolecules, biology can provide more details of protein interaction and real-time dynamic process, thus helping scientists to understand molecular mechanism and explore the pathogenesis of diseases related to macromolecular dysfunction.

The development of biology not only contributes to the discovery of drugs, but also affects the research fields of life sciences including biochemistry, cell biology, genetic development, neurobiology, microbiology and pathopharmacology.

The development of science and technology has been promoting the progress of structural biology. In 2017, the Nobel Prize in Chemistry was awarded to cryoelectron microscopy, which can greatly improve the efficiency of analyzing the atomic resolution three-dimensional structure of large protein complexes; Moreover, researchers can freeze biomolecules in motion and visualize their motion process.

This breakthrough has brought a perfect storm to the field of structural biology. In recent years, important breakthroughs have been made in the field of life sciences. The work of China scientists such as Cheng Yifan, Shi Yigong, Yang Maojun and Liu Zhengfeng has also benefited from this technology. They have analyzed the important complex structure of atomic resolution. In addition, the enzyme that produces the protein that leads to Alzheimer’s syndrome was analyzed by cryomicroscope.

In August, 2015, Shi Yigong’s research team published an article in Nature, reporting the three-dimensional electron microscope structure of human γ -secretase with a resolution of 3.4 angstrom, and studying the function of the pathogenic mutant of γ -secretase based on the structure analysis, which provided an important foundation for understanding the working mechanism of γ -secretase and the pathogenesis of Alzheimer’s disease.

In February, 2020, after the outbreak of COVID-19, the research team of West Lake University successfully analyzed the full-length structure of novel coronavirus receptor ACE2 for the first time by using cryo-electron microscopy, which helped the research and development of drugs in COVID-19.

What does AI predict protein folding change?

With the help of artificial intelligence technology, DeepMind, a subsidiary of Google, recently announced 220 million kinds of protein structures predicted by AlphaFold software, which shocked the field of structural biology, because it indicates that artificial intelligence enterprises have begun to "truly hand over the power of Al to scientists all over the world".

Scientists compare the significance of this disruptive breakthrough with the human genome project. In the 1990s, when the Human Genome Project began to take shape, scientists realized that it was not enough to master the base arrangement of genes, but also to know the protein, the product of genes.

Shi Yigong, academician of China Academy of Sciences, structural biologist and president of West Lake University, commented on AlphaFold’s work: "Its accurate prediction of protein structure is the greatest contribution of artificial intelligence to the scientific field, and it is also one of the most important scientific breakthroughs made by mankind in the 21st century."

Shi Yigong once told China Business News: "AlphaFold represents the world’s leading artificial intelligence protein organization prediction system." At the same time, he said, China’s high-tech enterprises are catching up, expecting to bring surprises to the world in the near future.

He also said that the improvement of the accuracy of protein structure prediction will greatly benefit the pharmaceutical industry. "Artificial intelligence prediction of protein structure provides an important foundation for drug design and optimization. The structure of drug target proteins combined with all small molecule drugs can almost be wiped out by AlphaFold. " Shi Yigong said.

In the opinion of some scientists, although AlphaFold’s work is shocking, the accuracy of drug research and development prediction is not enough. Professor Liu Zhijie, executive director of iHuman Institute, Shanghai University of Science and Technology, told the First Financial Reporter: "It has been a long time to predict the protein structure. Now the accuracy of the prediction is definitely getting higher and higher, but it still hasn’t reached the precision of crystal structure."

Liu Zhijie First Financial News told the reporter that the crystal structure is the most accurate, and now artificial intelligence can predict the protein folding with the accuracy of electron microscope and nuclear magnetic resonance. In addition, because there are thousands of structures in protein, the difficulty of analysis is different. "If some protein sequences are similar to the known structure of artificial intelligence, it is easier to predict." Liu Zhijie said.

However, he still believes that with the continuous improvement of the prediction accuracy of protein folding, it will play a more important role in the field of life sciences in the future. "If the current prediction can reach the accuracy of electron microscope, some drugs can already be designed. Drug design is the biggest application field of artificial intelligence protein folding prediction." Said to Liu Zhijie First Financial Reporter.

Others think that with the development of artificial intelligence, there may not be so many structural biologists in the future. "Many researchers who do structural biology are actually more like technical service personnel. The more people there are, the more structures that can be analyzed. Therefore, in essence, a large part of their work depends on manpower. Now with AI, it is true that a large number of people who do structural biology have changed careers." A virus researcher told the First Financial News reporter.

However, for top structural biologists such as Shi Yigong, technology is only a powerful support for the "top brain", which can help them realize more ideas. "Every conscientious biologist should know how to make good use of the structural prediction of artificial intelligence." Shi Yigong said.

Professor Michael Levitt, winner of the Nobel Prize in Chemistry in 2013, told China Business News: "I think many structural biologists are not only doing structural research, but also doing a lot of work on protein function and drug research and development, just like Professor Yan Ning. Artificial intelligence only liberates a part of traditional manpower, but the progress of science still needs to rely on the smartest human brain. I’m afraid that artificial intelligence alone will not work. "

In recent years, a number of AI pharmaceutical companies have also been born in China. In this regard, Ewing Nan, academician of Chinese Academy of Sciences and president of Beijing Institute of Scientific Intelligence, pointed out to the First Financial Reporter: "The emergence of AI for Science research paradigm is an important historical opportunity for scientific and technological innovation, which not only expands the capability boundary of data-driven and physical model-driven models, but also is expected to promote the organic combination of the two, provide theoretical basis for further solving practical problems, and greatly narrow the distance between scientific research and practical application."

Ding Yan Yuhang, a Shandong player who hasn’t updated his personal social dynamics for a long time, recently updated his personal social media. He took a big photo of the China men’s basketball team participating in this World Cup qualifier, and gave his best wishes to his friends. Originally, this was a perfectly normal dynamic, but some fans thought that Ding Yanyuhang was rubbing against the popularity of China men’s basketball team. In fact, it was a bit unfair to Ding Yanyuhang. After all, Xiaoding’s wishes for the national team and friends were sincere, and fans should not be mixed with too much personal feelings.

For Ding Yan Yuhang, some fans also very much hope that he can return to the national team. It is also a great encouragement for Ding Yan Yuhang to see that Abdul Salamu, who has suffered serious injuries like him, has already returned to the national team. Du Feng has also given all players a chance. After all, it is the greatest honor for a player to play for the national team, and it is also a very confidence-boosting thing to have the opportunity to enter the national team after a serious injury.

Recently, there are a lot of news about China men’s basketball team, one of which makes the fans very worried. That is, when qi zhou participated in nbl preseason, many of their opponents were found to have COVID-19. qi zhou, as a close contact, is likely to be isolated and missed. However, recently, some media broke the news that qi zhou appeared in China men’s basketball team’s training abroad, which broke the previous rumor that qi zhou would miss the preliminaries. China men’s basketball team has been sent to the strongest team in the world, hoping that they can break into the final with all their might.

The second phase of the cba is about to start, and wcba has already gone through six rounds. Compared with the attention of CBA in China, there are few fans in wcba. Up to now, three teams in WCBA have maintained an unbeaten record this season, namely the defending champion Inner Mongolia team, Sichuan team and Shandong team. In the first six rounds, Inner Mongolia team beat their opponents by a big score, and their biggest competitor this season is Sichuan team, which is temporarily ranked third.

In fact, after seeing the lineups of the two teams, the fans were not surprised why the two teams competed for the championship. Together, the two teams gathered a total of 17 national players. The Inner Mongolia team gathered 9 national players including Li Yueru, Yang Liwei, Huang Sijing, Zhao Shuang, Zhang Ru, Pan Zhenqi, Ma Xueya, Wei Wei and Li Yifan, while the Sichuan team had Han Xu, Wu Di, Shao Ting, Li Meng, Sun Mengran, Li Shanshan and so on.

In today’s cba league, Guangdong men’s basketball team and Liaoning men’s basketball team are still the two strongest teams. Compared with the 11th championship of Guangdong men’s basketball team, Liaoning men’s basketball team has won the championship of cba league only once, but the runner-up has won many times, which has also been criticized by many fans. Liaoning fans who are very unconvinced listed the past record of Liaoning team, and the time goes back to the national basketball championship in 1985. As we all know, cba league only has a history of more than twenty years. Here

According to the statistics of the fans, since 1985, Liaoning men’s basketball team has won 12 championships in many competitions, such as the National Basketball Championship, the National Basketball League, the National North-South Championship, the National Games, the Asian Club Cup, cba, Extraordinary 12, etc. From this figure, it has indeed surpassed Guangdong’s 11 championships. In fact, just from the data point of view, it can’t explain too many problems. After all, the glory created by our predecessors has become.

On the afternoon of November 4th, 2022,Under the guidance of Futian District Talent Bureau, the Smart City Special Session of Zhichuang AI-AI+Industry Summit sponsored by Shenzhen Artificial Intelligence Industry Association, Gongdadi Innovation Technology (Shenzhen) Co., Ltd. and Guangzhou Yingma Information Technology Co., Ltd. was successfully held.

The talent development activity of "Zhichuang AI" is one of the series of activities of "Endeavour New Journey to Spend Talent Day" in Futian District in 2022. It gathers professionals from enterprises in artificial intelligence industry, focuses on AI industry ecology and artificial intelligence industry chain, shares cutting-edge perspectives and talks about new opportunities for artificial intelligence development. With the theme of "Smart Convergence into a City, Winning the Future", this forum focuses on the smart city field, and faces software developers, system integrators and hardware providers in smart city transportation, urban management and other fields, bringing together enterprise representatives and industry elites with AI intelligent upgrade requirements, and connecting upstream and downstream business opportunities, industrial landing experience and other all-round resources to jointly explore the development direction of urban scene application.

Zhao Cong, CEO of Gongda, Liang Hongbo, General Manager of Yingma Technology, and Lang Liping, Shenzhen Artificial Intelligence Industry Association delivered speeches for the event; Li Sunan, Senior Marketing Director of Gongda, Lu Zhitao, Director of AI Scene Application Division of English Code Technology, Yan Weijie, Manager of Qianshitong Solutions Department, and Liu Rongjie, Product Director of Gongda attended the event and delivered speeches, and had in-depth interactive exchanges with business representatives and industry elites in the smart city field on the key technologies, scenes and needs of smart city development.

This activity focused on key technologies and fields such as visual AI, intelligent transportation, intelligent security, AI computing power, etc., and invited more than 60 enterprises to participate in the in-depth discussion of hot and difficult issues in the construction and promotion of smart cities. At the same time, the live broadcast of the event attracted nearly 3,000 participants. Through this activity, participating enterprises share their experience in AI construction of smart cities, combine the digital and intelligent transformation needs of their fields, make all-round docking of related resources, jointly explore the development trend of smart cities, and jointly promote the high-quality development of artificial intelligence industry.

"Nine -ball Queen" Pan Xiaoting, the value of more than 1 billion is conservative. Today, the age of 39 is still single and is still a big daughter of Huanghua.

She once announced her own spouse selection criteria:

1. The face value is high, and the height cannot be lower than 1 meter 76;
2. Mature and stable, you must have your own career;
3. To pursue her actively, if you don’t take the initiative, you would like to miss it;
4. Don’t have filial piety.

Netizens shouted directly: It’s too difficult to take off the order!

There is a saying in the billiard industry called "Men have Ding Junhui, and women have Pan Xiaoting."

Pan Xiaoting is the first player to win the World Championship in my country’s billiard industry. He is the holder of the 9 -ball World Championship, which is therefore called the "Nine Ball Hou".

Pan Xiaoting was born in Jining, Shandong in 1982. His father was a billiard enthusiast and opened a bill for a bill. Due to the excellent ball skills, it is called "Pan Yi".

In Pan Xiaoting’s childhood, he did not show any interest in billiards, but was interested in painting.

She drew perseverance, and one painting has been for several years. Art has also become her dream.

Until college, Pan Xiaoting rarely played billiards. Occasionally, Pan Xiaoting was in a bad mood because of conflicts with his classmates.

As soon as home, she picked up the club of the table to vent her emotions.

What she and her father did not expect was that although Pan Xiaoting had not practiced, she scored several balls at hand.

This is obviously a talented player.

However, at the time, Pan Xiaoting didn’t think too much, and his father only hoped that his daughter could grow up happily and did not deliberately train billiards, but occasionally played.

During the college entrance examination, Pan Xiaoting, who has always liked painting, applied for art colleges. Unexpectedly, it was fell on the list.

For a while, Pan Xiaoting lost his direction in the future and doubted himself.

Fortunately, after repeated consideration, Pan Xiaoting decided to learn billiards with his father.

For her daughter’s future, her father began to train her strictly.

Regardless of the winter or cool summer, Pan Xiaoting play billiards for more than seven hours a day. For a month, it can only take a break, sometimes only half a day.

What makes Pan Xiaoting feel more hard is that in the summer, even the hottest weather, the fans are not opened during training. Pan Xiaoting often sweats hotly and has to continue training.

In winter, even if your fingers are frostbite, you still have to practice.

For her, occasionally wanting to be lazy, she is not allowed.

A boy is even difficult to endure this training intensity, and it is a flower girl.

During that time, Pan Xiaoting thought more than once that her father didn’t love her, so she had a hard time to eat her so much.

Fortunately, Huang Tian lived up to the painstaking people, and Pan Xiaoting’s dedication got the return.

In 1998, Pan Xiaoting’s father, Pan Jian, took Pan Xiaoting to Beijing to participate in the first nine -ball women’s opening game.

In Beijing for a month, in order to save money, the father and daughter lived in a 15 -dollar air -raid hole, eating 10 yuan of fish flavor shredded, and life was very difficult.

Fortunately, the two were not very bad. Pan Xiaoting won the championship in one fell swoop and won 4,000 bonuses.

My father was proud of his daughter, and asked what his daughter wanted to eat?

Pan Xiaoting said excitedly:

"Dad, I want to eat Beijing roast duck!"

Pan Jian Shuang agreed quickly and immediately took her to Quan Jide.

As a result, the father and daughter opened the menu and looked at them immediately!

A roast duck, it costs 156 yuan!

Although the fragrance of roast ducks made Pan Xiaoting sorrowful, she still felt very distressed and pulled her father’s corner and said: "

"Dad, let’s forget, let’s take a look elsewhere."

Pan Jian said to his daughter:

"Girl, eat it when you come, let’s order half!"

So Pan Xiaoting ate it quickly. At that moment, Pan Xiaoting felt her father loved her again.

In order to make parents live a better life, Pan Xiaoting worked harder to train. And on the road of billiards, she also opened all the way.

In 2000, Pan Xiaoting won the championship again in the national sports competition. In the same year, she won 6 national championships.

Since then, Pan Xiaoting has opened a journey to win.

In 2007, Pan Xiaoting won the world championship in the World Championship final and became China’s first billiards world champion.

In addition to getting bonuses, Pan Xiaoting also made a lot of advertisements and received a lot of endorsements. It is estimated that the value is conservative!

There is no doubt that Pan Xiaoting is already the pride of his parents in his career. However, on personal problems, Pan Xiaoting made his parents very concerned.

At the age of 39, she is still single and is still a yellow flower girl.

During the period, although he had a scandal with Ding Junhui, Pan Xiaoting showed that he was just a good friend!

Today, Ding Junhui’s children will make soy sauce, and Pan Xiaoting is still alone.

For the other half, Pan Xiaoting also announced her request:

It seems that it is not high, but it is not found. It is also impressive. Is it really not good for a boyfriend?

In addition to the "Nine Balls" Pan Xiaoting, there is also a particularly excellent woman, which is nearly 40 years old, worth 10 billion yuan, and is still single.

She is a woman who refuses Ma Yun three times, currently the director of Yunfeng Fund, Li Ying.

Li Ying graduated from the Massachusetts Institute of Technology. Because of his high IQ, he was too good, and was appreciated by Ma Yun.

However, Ma Yun invited the other party to join his company three times, but he was rejected.

Until the fourth time, Li Ying promised to serve as a director of Yunfeng Fund.

Today, this strong woman is nearly 40 years old, with tens of billions of dollars, but still single.

In this regard, some netizens said:

Such a woman is not good at climbing, and it is a kind of sadness to be stronger than no one.

Some netizens said:

If you have money, why do you have to get married? Single is cool for a while, and he has been single.

How do you think about this? Welcome to leave a message. The picture comes from the Internet, invading and deleting.