标签归档 西安夜生活论坛

0 am! The Beijing media made a controversial report: China football became a joke, and fans swore.

At 0: 00 a.m. Beijing time on November 3rd, after the China women’s football team was confirmed to miss the Paris Olympic Games, Beijing Youth Daily reported on it. They said that Song Kai, president of the China Football Association, watched the live broadcast of the women’s football match between China and South, and had a very clear understanding of the current problems and difficulties faced by the women’s football team in China. Such reports also caused great controversy and discussion.

"Song Kai watched the live broadcast of the women’s football match between China and South Korea," wrote Beijing Youth Daily. Prior to this, he also went to the scene to watch the first round of China-DPRK women’s football match in the Olympic preliminaries at this stage.

The new head of China Women’s Football Association has a very clear understanding of the current problems and difficulties. China Football Association will also join hands with representatives from all aspects of women’s football field to conduct in-depth research and communication to discuss the future of women’s football in China. "

From the report of Beijing Youth Daily, we can see that Song Kai had a clear understanding of the team’s problems by watching the women’s football match in China. Although the media did not disclose more information, their report not only made China football a joke, but also attracted a lot of fans’ condemnation.

A goal said, "You can have a clear understanding after watching a game, Niu, don’t you talk nonsense?" Some fans also said: "These reporters have a profound knowledge of writing, and they understand it all the time. He knows it is useless. How can it help?" Onlookers said they were looking forward to it. "

Of course, some fans said: "Football professionals have not understood the whole thing for decades. He knows everything after watching a game. This is not a genius." "The somebody else’s head coach all dare not say understand, see a didn’t even see the complete game to understand? Who believes this? "

Stay away from the "swimming shoulder" Four postures make swimming more enjoyable

Recently, high temperature warnings have been issued in many places. The heat is unbearable, and many people choose swimming, which can not only cool down and exercise, but also lose weight, burn fat and shape their bodies. However, improper swimming posture can also cause harm to the body. Wang Jing, director of the Department of Bone and Joint and Sports Medicine of Hunan Provincial People’s Hospital, reminded netizens to be careful about "swimming shoulders".

What is a "swimming shoulder"?

Swimming is a sport that uses the shoulder joint the most frequently. "Swimming shoulder" is mainly caused by the frequent movements of the shoulder joint over the head when swimming, which leads to the collision between the subacromial coracoacromial ligament and the greater tubercle or rotator cuff tendon, resulting in subacromial bursitis and rotator cuff tendinitis, and the shoulder pain is induced.

In addition, when swimming, the upper arm needs to fully rotate and abduct, and the upper arm repeatedly exerts its strength. At the same time, due to the resistance of water, it exerts great pressure on the shoulder, and excessive exercise will lead to tendon injury of the shoulder joint.

What are the symptoms of "swimming shoulder"?

The clinical symptoms of "swimming shoulder" mainly include shoulder pain, including rest pain, exercise pain, nocturnal pain and movement disorder.

Specifically, acute injury is characterized by severe pain in the shoulder and decreased abduction ability of the shoulder; In chronic injury, the shoulder is dull and painful, while in abduction, the abduction is limited. In the early stage, it is often manifested as shoulder pain at rest or at night, decreased activity, weakened strength, etc., and symptoms such as persistent pain and frozen shoulders will appear in the later stage.

Which strokes are prone to "swimming shoulder"?

Compared with other strokes, people in freestyle, butterfly and backstroke are more likely to suffer from "swimming shoulder". Because the shoulder joint frequently moves above the head, the ligament under the acromion, the greater tubercle of humerus and the rotator cuff tendon repeatedly hit, resulting in local injury of the shoulder joint.

For example, in freestyle, the internal rotators such as pectoralis major and latissimus dorsi are often used in the "pull" stage, while the external rotators such as deltoid and infraspinatus are often used in the "recovery" stage. Generally speaking, the external rotator is weak and easily injured. However, the basic posture of breaststroke determines that its shoulder movement range is small, so it will be relatively better.

It should be noted that no matter what kind of swimming stroke, if the swimming action is not standardized, uncoordinated or too long, lack of sufficient warm-up and excessive exercise intensity, the shoulders will be in an excessive state of exercise.

How to prevent "swimming shoulder"?

First, the preparation activities should be sufficient. Warm up well before swimming, such as bending your head forward, leaning back and rotating your back from side to side for more than 10~15 times to move your neck; Shoulder shrug, arm circle drawing and chest expansion exercise 10~15 times each to move shoulders and chest; Stretch your legs, bend over, touch your toes with your hands, bend your knees, bend your hips and squat, and stand up alternately for 10 to 15 times to move your knees;

The second is to pay attention to maintaining the correct posture. The body is in a flat floating state, relaxed and stretched, the coordination of hand and foot movements is in place, and the swimming speed is balanced. It is not advisable to be too fast or too fierce;

The third is to control the swimming time reasonably. Each swimming time should not be too long, and it is recommended not to exceed 1 hour;

Fourth, relax properly after swimming. By stretching muscle ligaments, regulating breathing and supplementing nutrition, the body can recover better.

Remind that once you have shoulder discomfort, you should stop swimming. After 1-2 weeks of rest, the pain is still not relieved, so you need to seek medical advice in time.

How to treat "swimming shoulder"

It is recommended to stop all pain-inducing activities or training. At present, effective treatments include: using anti-inflammatory and analgesic drugs (oral, topical or local injection), ice compress, acupuncture exercise therapy, physical therapy and rehabilitation exercise.

If the above conservative treatment fails or rotator cuff tears occur, surgical repair should be performed as soon as possible.

Editor: Geng Jieyu

Independent games, showing different scenery

Independent games, showing different scenery

—— The Curriculum Reform of Preschool Education in xinghua city, Taizhou, Jiangsu Province

One by one, the children boarded the "platform", simulated divers, jumped from the "springboard" and cheered and enjoyed the challenge. After landing, they bounced off the cushion, wiped the sweat from their foreheads, and scrambled to board the platform with a smile …

This is a video of outdoor games in Zhaoyang Central Kindergarten, xinghua city, Taizhou, Jiangsu. As the experimental area of "Anji Game Promotion Plan" of the Ministry of Education, in recent years, xinghua city has actively implemented the national preschool education reform policy. Under the guidance of "Guide to Learning and Development of Children Aged 3-6" and "Guide to Evaluation of Kindergarten Conservation Education Quality", Anji Game and Jiangsu Curriculum Gamification Project have been integrated and implemented, which has comprehensively promoted the curriculum reform of preschool education and greatly improved the quality of preschool education.

Children in the central kindergarten of Dainan Town, xinghua city are playing a slide game on the hillside. Photo by Ji Ling

Back and Wait: Seeing Different Children

The "platform jumping" in the video consists of two Anji boxes, a ladder and a long board. The protagonist in the game is Shun Shun, a big boy.

An outdoor game in November, 2022, I like to climb the challenge smoothly, and I think it is too easy to climb the Anji box, so I decided to build two boxes. He called his companion Xiaojun, but the box was so tall and heavy that it was really impossible to build it.

Liu Xiaoqin, a teacher in Shunshun’s class, said, "In the past, as an observer and supporter of children’s games, I would’ can’t help’ helping them solve the problems in the game. The "Guidelines for the Quality Assessment of Kindergarten Conservation Education" puts forward the requirement of’ not rushing to intervene or interfere with children’s activities’. Faced with this scene, I chose to stand back and wait, leaving children with more opportunities for trial and error, exploration and reflection. "

In the subsequent "game story" characterization and "one-on-one listening record", Liu Xiaoqin learned about Shunshun’s troubles, and asked Shunshun to introduce his plans and difficulties in the collective sharing session, which aroused the interest of the children in the class, and they made suggestions and offered suggestions one after another.

The next day, Shunshun called his friends and found boards to put on the bottom box, forming a slope. Everyone joined forces to build the second box with the help of the slope. The high platform was put up, and the children had a whim, played new tricks, built a "springboard" and played "diving" …

"From the practice of building a base box to the representation record, and then to the platform change, in the independent game, children have achieved effective development in many fields such as health, language, society, science and art, and cultivated good learning quality and personality quality." Fan Henghua, a researcher at xinghua city Teacher Development Center, said, "Teachers have found different children in the process of retreating and waiting patiently, and realized that children are active and capable learners, which has reshaped their views on children and education."

It is a microcosm of curriculum reform in xinghua city that teachers stand back and wait to let children develop and grow in autonomous games.

The reporter learned that there are 94 kindergartens in xinghua city. Influenced by the unique topography, economy, population and other factors, preschool education in the city is scattered, started late and developed slowly. For a long time, there have been some problems: the renewal of teachers’ ideas and the lag of professional development; Kindergarten curriculum relies too much on teachers’ books and ignores children’s dominant position; Children in kindergarten environment have insufficient vision and are not suitable; The development between urban and rural areas, regions and gardens is unbalanced.

In order to promote children’s all-round development and happy growth, xinghua city Education Bureau thoroughly implemented the two Guides and deepened the reform of preschool education. In 2020, it successfully applied for the project of promoting curriculum gamification in Jiangsu Province, and in 2021, it became the experimental area of "Anji Game Promotion Plan" of the Ministry of Education, which accelerated the pace of promoting kindergarten curriculum reform in the region.

Children in the central kindergarten of Zhuhong Town, xinghua city play punting games with foam floating boards and PVC pipes. Wang weishe

Listening and observing: approaching real children

"Unexpectedly, in just a few months, the children in our class have become talkative and lively." Fan Jianqin, a kindergarten teacher in xinghua city, said.

Fan Jianqin’s class is Class 2. In her impression, in the past, kindergarten was mainly based on collective teaching activities, and children’s imagination and creativity were limited by the teacher’s perspective and the operation of high-structure game materials. Some children are quiet in the class group, but they are considered as symbols of obedience and understanding, and their real voices are not fully heard. With the deepening of curriculum reform, these children are awakened and discovered in the "one-on-one listening record" of teachers, and they become willing to express themselves and get personalized development.

In the process of curriculum reform, seeing children, understanding children, respecting children and believing in children are important prerequisites for effectively carrying out educational activities and supporting children’s meaningful learning, and are also the key and difficult points for improving teachers’ professional level. In practice, Xinghua preschool teachers find that observation, listening and dialogue are important ways for teachers to know children, especially "one-on-one listening record", which is easy to operate and has obvious effects, and is a "fast track" for teachers to know children and build a good relationship between teachers and children.

According to the actual situation of teachers, xinghua city Education Bureau puts forward three requirements for kindergartens in the city: First, from the level of curriculum implementation, we should give free support to children’s independent games, and thoroughly implement the "game story" representation, one-on-one listening and recording, collective sharing and other links to help teachers understand children’s thinking, experience and needs face to face in listening and dialogue, and approach real children. Second, from the teaching and research level, teachers are required to use mobile phones and other equipment to record children’s game activities, and then through various levels of teaching and research activities, the real game scenes of children are presented, and the interest, learning and development level behind children’s game behaviors are interpreted. Third, from the training level, through regional alliances, famous teacher studios and other platforms, we will promote the professional reading and training of principals and teachers, promote teachers to constantly update their concepts, and improve their theoretical level and professional ability to observe and interpret children’s behaviors.

At the same time, the preschool teachers and researchers of the Municipal Education Bureau went deep into kindergarten research and guidance to help kindergartens find, analyze and solve problems, carry out reflective practice, and promote the transformation of kindergartens in practice and reflection.

Xiao Yiyun, a kindergarten teacher in Dainan Town Center, said: "I began to learn to squat down and observe, sit down and listen, observe, listen and record every day, understand children’s real interests and needs, reflect on the development contained in children’s game behavior, interpret children’s game stories, and give further adjustment and support based on this."

Through study, practice, reflection and communication, teachers’ ideas are gradually clear, their understanding of children is deeper, and they respect, trust and follow children more sincerely.

Optimization and burden reduction: finding great children

Recently, a video of children playing outdoors in township kindergartens became popular on the Internet. In kindergartens with flowing bridges and reeds, children wear red life-saving vests, some paddle and paddle in the river, some swim and climb on banks, docks and bridges, and laughter fills the whole playground.

This video was taken by a parent of Zhuhong Town Central Kindergarten in xinghua city. In order to meet the children’s demand for games, the park has carefully built an outdoor activity venue with the characteristics of Xinghua water town, and built artificial canals with local wild interests and arch bridges, suspension bridges and single-plank bridges with different shapes. There are ecological planting areas of reeds, arrowheads, lotus roots, water chestnuts and water chestnuts, as well as sand ponds, mud ponds, gullies, sloping fields with different heights and flat land and passages with different materials …

"These can bring different experiences and feelings to children during the game, and stimulate children’s interest in continuous exploration." Director Shen Lei said.

Environment, materials and time are the basic conditions for children’s play. In order to solve the problem that the environment creation is not suitable enough and needs to be optimized urgently, xinghua city has increased the financial guarantee, set up pre-school education development guidance funds, and guided and supported old kindergartens to carry out suitable transformation of indoor and outdoor environment. After the transformation, the outdoor environment of kindergartens in the city is more natural and wild, the playground is more open, the game materials are less structured and challenging, and the optimization of the external environment gives children more room to release their nature and explore challenges.

Children in Zhaoyanghu Kindergarten in xinghua city are playing graffiti games. Photo by Lu Juan

"The children in the newly rebuilt sand in our kindergarten are so cute that I can’t write more recent stories." A teacher in an feng Central Kindergarten said with emotion.

Behind the repeated adjustment and updating of environment, materials and time are the in-depth thinking and exploration of managers and front-line teachers. Zhou Hua, deputy director of Dainan Town Central Kindergarten, said: "Every adjustment and optimization is the embodiment of the spirit of Anji Game and the process of teachers’ growth. We deeply understand that there is no end to curriculum reform. Only by taking children as the foundation, following and supporting children and creating a suitable and secure environment for them can children live happily and meaningfully. "

In fact, at the beginning of the implementation of "Anji Game", kindergartens encountered a lot of "distress" because of lack of understanding and understanding. For example, some kindergartens pay too much attention to the writing of observation notes, game cases and other copywriting, and value quantity over quality, which is regarded as a main indicator to assess teachers’ work performance; Some kindergartens ignore the actual situation such as teacher-child ratio and teacher’s proficiency in operation, and mechanically implement the daily requirement of "one-on-one listening record" … All these reasons lead to heavy workload and pressure for teachers, so they can’t let children play their own games and record their representations, listen to their children one-on-one attentively, and have no time for retrospective reflection.

In order to solve these "troubles", xinghua city Education Bureau starts from the root causes and takes many measures to reduce the burden on teachers. For example, resolutely cancel the teaching books used by children, minimize the collective activities preset by teachers, and replace the original lesson preparation notes with retrospective reflection records; According to the actual situation of kindergartens, the number of teachers’ "one-on-one listening records" per day should be weakened; Replace the original decorative environment with children’s real records and representations; Optimize and adjust weekly plans and monthly plans, and cancel mechanical duplication, numerous and unnecessary paperwork …

"Without the director’s letting go of the teacher, there would be no teacher’s letting go of the children." Teng Yan, deputy director of the Education Bureau of xinghua city, said with deep feelings, "In the initial stage of curriculum reform, only by effectively reducing the burden on teachers and slowing down the convergence slope can teachers have more time and energy to observe, listen, talk and reflect every day, so as to really and effectively approach children, find children and understand children."

"Xinghua’s preschool education has developed so fast, it is not worse than big cities at all. My child is in kindergarten with you! " In the autumn semester of 2022, a parent who brought his children from Beijing to his hometown and entered the park nearby said that the independent games implemented by the kindergarten made the children free and happy and reluctant to leave.

"Entering a new era and embarking on a new journey, Xinghua preschool education should continue to improve its connotation quality, stick to the position of children, take project construction and curriculum construction as the starting point, renew its concept, discover and develop children in open and diverse and spiritual educational activities, and push forward the’ education for young children’ to’ education for young children’." Gu Xiaobin, director of xinghua city Education Bureau, said. (Correspondent Cai Weihua Gu Risheng Our reporter Ji Xiujun)

short review

Reform does not need short theory, but real practice.

Xinghua city is located in the north of Taizhou, Jiangsu Province. As the experimental area of Anji Game Promotion Plan of the Ministry of Education, it also faces many questions in the early stage of reform: If the kindergarten curriculum reform is implemented, will teachers really not use books and teach collectively? With these questions, along the way, Xinghua preschool teachers continue to gain surprises and self-confidence, which makes people sigh their courage and courage to turn reform ideas into reality.

Reform should firmly grasp the policy direction and "national position." The choice of national education policy in different periods must have its background, and we should consider who to train, who to train and how to train people at this historical stage. Xinghua preschool teachers carry out the practical action of "children are capable self-learners", giving full play to children’s potential and initiative, which embodies the position of universal development of preschool education in China. This pattern and position are determined from the height of national education. At the same time, Xinghua preschool teachers take the initiative to find the common ground between Anji Games and Jiangsu Province’s curriculum gamification projects, and find the combination of curriculum reform ideas on the premise of "freedom, autonomy, pleasure and creation". The leader of xinghua city Education Bureau made a decisive decision: "If you have an argument, you can do it first! Without practice, you can’t see the development of children in the game, and adults have no right to speak. " This guiding measure ensures the implementation of the "children-oriented" game concept.

Reformers should have educational ideals and feelings. In Xinghua’s reform, we can see that the teacher-oriented "teaching material goal" and "high-control game" have gradually withdrawn from the stage and been replaced by "true" games that can give children the right to play. Behind this word "true", it is to "reduce the burden" for teachers and contains the educational pursuit of "getting rid of falsehood and seeking truth". In the face of a "game revolution", many "breaks" and "stands" are also innovations in many pre-school education concepts and elements. The courage of reformers comes from their persistence and persistence in educational ideals and beliefs. A group of reformers with educational feelings have gradually formed an internalization and understanding of the "game spirit" in more than two years’ practice, have a sense of responsibility for children’s development, and firmly believe that "the castle peak will not relax", constantly sum up experiences and lessons from setbacks and disputes, and usher in a brand-new realm of "a village with a bright future".

The reform has brought about changes in the "professional development ecosystem". The administration, teaching research and kindergarten teachers of xinghua city Education Bureau unite and cooperate with each other, complementing each other’s advantages, and jointly stay in the "game reform scene" to discuss "understanding children" and "discovering children"; Front-line teachers constantly change their views on children and education in game observation and one-on-one listening and dialogue, breaking the previous context of professional growth of teachers led by "experts". Facts have proved that the cooperative partnership based on "real" scene and solving "problems" has reshaped the teaching and research community, spawned practical wisdom and cracked the dilemma of separating educational theory from practice.

In the practice of Anji game education, Xinghua preschool teachers have initially found the way to improve the quality of education, but they should also be soberly aware that any reform can not be achieved overnight. Facing the practical problems such as unbalanced development between urban and rural areas, regions and gardens, and scattered distribution, how to embody fair, just and balanced development for all needs to be continuously explored and deepened.

(Author: Zhou Xin, a professor at the School of Preschool Education of Jiangsu Second Normal University)

Source: China Education News.

What are the differences between baseball and softball?

Many people in China learned about baseball to a great extent through a Japanese cartoon. With the popularity of the cartoon in China, people are more and more happy about baseball. Especially with the entry of baseball into the Olympic Games, China team has achieved good results, and baseball has gained more and more recognition in China. However, we can easily find that there are still many people who don’t understand baseball, and the performance is that baseball and softball can’t be distinguished. Do you know the differences between baseball and softball?

1. Softball uses a bigger ball than baseball.

2. Different bases spacing: softball bases are 18.3 meters (60 feet) apart, while baseball bases are 27.45 meters (90 feet) apart.

3. Different pitching distances: In softball, the pitching distance is 12.2 meters (40 feet), while in baseball, the pitching distance is 18.4 meters (60 feet, 6 inches).

4. The way of pitching is different: the pitcher of softball uses the lower arm movement to pitch, while the pitcher of baseball uses the method of raising his hand over his shoulder to pitch.

There are seven innings in softball and nine innings in baseball.

6. Baseball field is bigger than softball field, and girls are naturally restricted, so almost all play softball.

7. Baseball bats are generally conical in the middle and front, while softball bats are generally cylindrical and thinner.

8. The rules of baseball and softball are similar, but baseball can steal bases, but softball can’t.

What are the differences between baseball and softball? Looking at the differences listed above, I believe everyone has a better understanding of how to distinguish baseball from softball. Although softball and baseball are both round and similar in style, softball is bigger than baseball, and there are also great differences in their rules, so you can better distinguish them through these.

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20 games with the highest IGN score in 2023: two perfect works!

The future game lineup of each family has gradually stabilized this year, and many masterpieces will be launched one after another in 2023. All three host manufacturers are planning their own blockbuster works in 2023. At present, the first quarter has passed, and IGN has published a summary of 20 high-scoring games so far this year, two of which are full marks. Let’s take a look.

Full list:

8 step:

Heart of the atom

Multi-player part of company of heroes 3

I wish you a good death

Meet the Creator

Resident Evil: Village VR

Son of the forest

Wild heart

Wolong: The Fall of Heaven

《WWE 2K23》

9 step:

Bayonetta: Origin

Dead Space: Remastered Edition

Flame coat of arms Engage

《GT7 VR》

《Hi-Fi Rush》

The legacy of Hogwarts

Major League Baseball 23

Pizza tower

Final fantasy rhythm theater

10 step:

Galactic warrior Prime replica edition

Resident Evil 4: Remastered Edition

The Premier League champion was born! Arsenal lost 0-1 to win the championship, and Manchester City completed the Premier League’s three consecutive championships!

Early this morning, the Premier League was the firstthreesevenA focus battle was staged.Arsenal away0-1Lost to Nottingham Forest, completely missed the championship, Manchester City in the case of this round, ahead of schedule.threeWin the league championship and complete the great cause of three consecutive Premier League titles! Nottingham Forest finished relegation one round ahead of schedule after winning!

Arsenal fell behind Manchester City before the game.4 points, one game less than the opponent, this round of Arsenal is ahead of Manchester City, and it is necessary to win to keep the hope of winning the championship. Once losing, Manchester City will win the championship three games in advance. Nottingham Forest ranks first in the league.sixBit, leading the relegation zone3 points, there is still some relegation pressure, and we will definitely strive to win at home.

First halfonenineMinutes later, Odegard’s passing error was intercepted, and the home team White scored the ball. Avonii seized the opportunity to complete the goal.1-0! Arsenal then tried to fight back, but their whole team was in poor condition. Except for Trossat, who shot wide and caused a certain threat, the rest of the time had possession rate, but it was difficult to create too much threat to the opponent’s goal.

In the second half, Artta made many substitutions, but Arsenal’s performance did not improve at all, and finally they went away.0-1Lose the game and hand over the championship to Manchester City! Manchester city in the current round of war, ahead of schedule.threeThe game locked the league title and completed the league.threeAfter winning the championship, Guardiola’s team took the first step in the process of winning the triple crown!


In the civil war of women’s singles table tennis, Manyu Wang defeated Wang Yidi 4-2, advanced to the final and was recognized.

For Manyu Wang, how brilliant will his achievements be? The WTT Macau Championship in 2023 will last until the sixth match day, and the men’s and women’s singles semi-finals have now ended. In the high-profile women’s table tennis competition, four China table tennis players presented two amazing semi-finals. This is the second year in a row that she has won the world championship at this level. In a just-concluded semi-final, Manyu Wang defeated Wang Yidi with a score of 4:2, thus successfully advancing to the final. In this competition, Manyu Wang showed amazing strength. His goal is to win the final championship. Even if he loses the competition, he can consolidate his position in the third place in the world.

At present, there are obvious differences between the two core players of China table tennis team. During the whole Paris Olympic cycle, Wang Yidi’s performance showed a trend of low opening and high walking, from the marginal main force of table tennis to one of the five main forces of table tennis. With Chen Meng’s ranking falling to the fourth place in the world due to the elimination of Olympic points, Wang Yidi’s ranking in the world has climbed to the third place, while Manyu Wang has shown a trend of high opening and low walking throughout the cycle.

Especially in this year, Manyu Wang showed an amazing performance, coupled with injuries and the change of the head coach, his performance is quite bad. His grades don’t seem to have changed much either. Chen Meng failed to win the championship in many competitions. Unfortunately, her efforts failed to win in the end. But he still sticks to his dream. In the Macau Championship, Manyu Wang and Wang Yidi staged a thrilling reversal in the semi-final, which provided him with an opportunity to win the championship again.

In the first game, Wang Yidi seized the opportunity of the game with keen insight and keen sense of smell. Take the lead in the score, then remain stable in several rounds, and finally lead the opponent by 11:7, successfully opening the door to victory. He used his expertise and technology to attack. With the arrival of the second game, Manyu Wang launched a counterattack and successfully occupied the advantage on the field. And control it. Whether in attack or defense, we can seize the opportunity skillfully in the stalemate and win. After pulling back the second game with 11:9, the score was 1:1, and in the third game, the competition between the two sides became more intense.

However, there is still a chance to catch Manyu Wang, who took a 2-1 lead with a score of 11-9, performed well in the multi-beat stalemate in the fourth game without mercy, and finally took the lead. Although he was robbed by his opponent in the last board, he finally defeated his opponent to win. Under the score of 11:6, we have achieved a 3:1 lead, which is a very excellent victory. This also shows that he is very confident about this game. In the fifth game, Wang Yidi showed indomitable spirit, even in the face of last stand.

From falling behind to equalising and then leading, we finally won the bureau with a score of 11:5, making the score 2:3. Manyu Wang, whose victory in the sixth game was in sight, did not give up the victory, but won with the score of 11:4, and finally eliminated Wang Yidi with the score of 4:2, thus winning the national table tennis civil war. This is another great achievement after he won the titles of "best server" and "excellent receiver and receiver". Despite the hard-won victory, Manyu Wang is expected to challenge the first singles title this year and become a new champion.

Due to long-term injury and coach change, Manyu Wang’s performance this year is not satisfactory, and he has not been able to break through the championship shortage so far, but in the end, he successfully entered the finals and will have an excellent chance to win the championship. Although his current state is not very good, he still hopes that he can return to the competition as soon as possible and strive for a better record. This is also the root cause of Manyu Wang’s recovery. Although his performance in the game is not good at present, if he can maintain his current competitive state, he can lay a solid foundation for winning greater victories next year. In order to consolidate the existing position, it is indispensable to achieve corresponding results after the global ranking has risen to the second position. Therefore, his performance in this competition is still good, especially his excellent service, which won him a good chance and finally won the runner-up. For Manyu Wang, how excellent will his performance be in this competition? We will analyze his pre-match preparation and performance in the competition and give some suggestions. Welcome everyone to leave a message and exchange.

The Internet is full of flawed content generated by AI. Will AI trained based on this information be outrageous?

1. Yes.

If you answer the question of "yes and no", the answer is obviously "yes".

2. The logic of AI learning can be simply summarized as the following three steps:

2.1. Input data and feature extraction: The first step of AI learning is input data and feature extraction. At this stage, the AI system will receive some input data, which can be images, text, voice or other types of data. Then, the AI system will extract some useful features from these data, which can help the AI system better understand and process the data.

2.2. Model training: The second step of AI learning is model training. At this stage, the AI system will use the input data and features extracted to train a model. This model can be neural network, decision tree, support vector machine, etc. It will learn how to map the input data to the output results according to the features extracted from the input data and features. The goal of model training is to make the model accurately predict the output results.

2.3. Model evaluation and optimization: The third step of AI learning is model evaluation and optimization. At this stage, the AI system will use some test data to evaluate the performance of the model and optimize the model according to the evaluation results. If the performance of the model is not good enough, the AI system will adjust and optimize the model to improve its accuracy and generalization ability. Generally speaking, the logic of AI learning is to continuously improve the performance and ability of AI system through input data and feature extraction, model training and model evaluation and optimization, so as to realize more accurate and intelligent prediction and decision-making.

3. Garbage input and garbage output

The quality of AI-generated content is affected by the quality of data used to train AI models. If the training packet contains defective content, then the artificial intelligence model will also be defective. This is called "garbage input, garbage output". Because the AI system will try to imitate and repeat the existing data when learning, if the data itself has problems, then the AI system may repeat these problems and even aggravate them.

Constructing high-quality data sets is the key, and attention should be paid to the source, quality, scale and diversity of data sets. Miniaturization of language model is also an important research direction.

4. But there is room for optimization and self-evolution.

4.1. The training of AI system does not only depend on the data on the Internet, and the data on the Internet is less than 5% of human information.

4.2. It also includes various artificially designed data sets and algorithms. If these data sets and algorithms are carefully designed and optimized, then the AI system can be prevented from being affected by flawed data on the Internet.

4.3. AI system can also improve itself through self-learning and adaptation, thus improving its accuracy and reliability.

4.4. Although flawed content on the Internet may have some impact on the training and development of AI system, it does not mean that AI system will become more outrageous. On the contrary, with the advancement of technology and the continuous improvement of data sets, AI systems will become more accurate and reliable.

5. Making an AIGC or ChatGPT requires a lot of technology, not just input.

Large-scale model technology accumulation: it is necessary to master the basic knowledge of large models, such as Transformer architecture, self-supervised learning, pre-training and fine-tuning.

Accumulation of natural language processing technology: you need to know the basic knowledge of natural language processing, such as word segmentation, word vector, semantic understanding, emotion analysis, entity recognition and so on.

Data set construction technology accumulation: it is necessary to build high-quality dialogue data sets to improve the quality and effect of the model. The construction of data set needs to consider many factors, such as data source, data quality, data scale, data diversity and so on.

Algorithms and computing power: You need to master reinforcement learning, generative model, attention mechanism and other algorithms, and have enough computing resources to train and optimize the model.

6. Take the manuscript to make an inappropriate analogy.

Copying refers to copying, pasting, modifying and deleting other people’s original articles without authorization, which makes them look different from the original, but in essence they copy the contents and ideas of the original. Editors usually aim to get the content quickly, save time and energy, so as to achieve the purpose of publishing articles quickly, but this behavior seriously infringes on the intellectual property rights of the original author, and also violates academic ethics and professional ethics. Washing manuscripts not only harms the interests of original authors, but also greatly damages the reputation and image of the whole industry, so it is regarded as an immoral and illegal behavior.

However, the manuscript washing should also be level and creative. The awesome manuscript washing often needs to "see" a lot of materials, which is another process from quantitative change to qualitative change.

7. Going back to the nature of AI, is it a tool or decision logic? What do you do with AI?

The process of human receiving information can be divided into the following stages:

Perception: Perception means that we receive external information through sensory organs, including vision, hearing, touch, taste and smell. Perception process is based on the interaction between sensory organs and external stimuli, which transforms external information into neural signals and transmits them to the brain.

Attention: Attention refers to the process of selecting and processing the perceived information. Because of the diversity and complexity of external information, we can’t handle all the information at the same time, so we need to filter out important information and deal with it through attention.

Understanding: Understanding refers to the process of interpreting and understanding the information we receive. This process needs to rely on our knowledge, experience and language ability to connect and integrate the perceived information with the existing knowledge, thus forming new cognition and understanding.

Memory: Memory refers to the process of storing and processing the received information. Memory can be divided into short-term memory and long-term memory. The former is the ability to temporarily store information for processing, while the latter is the ability to permanently store information in the brain.

Judgment: Judgment refers to the process of evaluating and judging the information we receive. This process needs to rely on our values, beliefs and cognitive abilities, and compare and evaluate information with our existing cognitive and value systems, thus forming our attitudes and views on information.

Action: Action refers to the process of making decisions and taking actions according to the information we receive. This process needs to rely on our willpower, decision-making ability and action ability, and turn our understanding and judgment of information into actual actions and decisions.

What is the purpose of obtaining information with AI? To what stage can AI replace you?

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Laundry technology sharing: can ChatGPT make autonomous driving faster?

Recently, the hottest topic in the science and technology circle is "ChatGPT". However, ChatGPT is only an external manifestation, and what deserves more attention is the development of AI technology behind it and its future application.

Some people even describe the changes brought by ChatGPT optimistically: Before ChatGPT, AI was only a module of existing scene products at most. Then, after ChatGPT, AI will redefine the product framework of existing scenarios.

Whether it is as optimists say remains to be seen, but whether autonomous driving, as one of the important scenes of AI landing, will have further development in this wave has still aroused many people’s discussion.

Some people think that autonomous driving needs more graphics, images and data processing ability, requires higher image algorithm, and has little correlation with natural language processing ability. It is not possible to realize autonomous driving with ChatGPT’s ability at present.

Of course, some people think that the appearance of ChatGPT shows us a possibility, that is, trained AI will make high-level autonomous driving expected to appear in a few years.

Why does the progress of AI technology make people pay attention to whether autonomous driving is affected?

Observing the development history of autonomous driving, it is not difficult to find that every major breakthrough of autonomous driving is synchronized with the development of AI technology.

We know that,AI is actually imitating the brain neural network and learning some very humanized skills by analyzing a large amount of data.In 1980s, the first practical application of neural network happened in the field of automatic driving.

In 1987, researchers at Carnegie Mellon Artificial Intelligence Laboratory tried to make a truck that could drive automatically. They manually write codes for all driving behaviors and write as detailed instructions as possible for various situations encountered by trucks on the road, so as to make the vehicles run automatically. But unfortunately, this way can only make the car achieve a speed of several inches per second.

Manual code writing failed, and another doctoral student named Dean pomerleau chose another way: neural network.

He named his system ALVINN. After adopting this system, trucks use the images taken by the roof camera to track what drivers are doing, so as to observe how to learn to drive on the road. In 1991, ALVINN drove from Pittsburgh to Erie, Pennsylvania at a speed of nearly 60 miles per hour.

However, a more direct and broader impact occurred in 2012.

Jeff Hinton, a professor at the University of Toronto, and two of his students, Alex Krzyzewski and Ilya Satsky, won the first prize in the ImageNet image recognition competition, and published a paper introducing the algorithm AlexNet. This paper is not only the turning point of artificial intelligence, but also the turning point of global technology industry.

As the key technology of autonomous driving, target detection and image recognition are highly benefited from the breakthrough of computer vision algorithm. Therefore, with the recognition accuracy of Li Feifei team, director of Stanford Artificial Intelligence Laboratory, surpassing humans for the first time on ImageNet open data set in 2015, autonomous driving, as one of the most important landing scenes of AI, has also entered the fast lane of development.

So, will the appearance of ChatGPT become the Milestone of autonomous driving again?

Generally speaking, AI can be divided into three parts: voice, vision and natural language understanding.The last wave of AI was mainly based on the breakthrough of visual image recognition technology, and this time ChatGPT is a natural language processing technology based on GPT-3 model, which can effectively simulate human language understanding ability, thus helping people better understand and analyze natural language text data.

When we want to discuss what impact ChatGPT will have on autopilot, we think that we should first find out whether autopilot here refers to mass-produced low-level autopilot (assisted driving) or high-level L4 autopilot. Secondly, does ChatGPT refer to a language model or a more generalized generation model?

From the perspective of natural language understanding, ChatGPT has a more direct impact on human-computer interaction in the assisted driving part, but it may not have a great impact on L4-level automatic driving.

Cui Dongshu, secretary-general of the Federation, also wrote in his WeChat WeChat official account that the innovation of human-computer interaction and intelligent cockpit system is very strong, especially the human-computer interaction ability of domestic car companies is very strong. Only China enterprises can understand Chinese more deeply. With the empowerment of the bottom layer in the future, the domestic automobile industry will have more good human-computer interaction effects at the application level.

For example, by using ChatGPT, the vehicle can interact with the driver by voice or text, and provide the driver with real-time feedback on vehicle status and driving information.

Before this, although a large number of in-vehicle interactive systems have appeared, the pain point of the industry mainly focuses on the "understanding" part, and most of the in-vehicle voice interactive systems are not intelligent in "understanding", resulting in a single function and command word of the whole system. ChatGPT’s explosion made the market see the hope of solution.

However, Cui Dongshu, secretary-general of the Federation, also said that,Electrification is the core of new energy vehicles, and intelligence is just icing on the cake. In the future, the core competitiveness of car companies will still be to build electric vehicles, and at the same time make full use of intelligence such as ChatGPT to empower the development of the automobile industry.

Of course, whether it is the core or not, it is not enough to have a technological breakthrough if you want to get on ChatGPT. An AI industry person told Titanium Media that "there are still cost issues, including the use cost, cloud service cost and targeted training cost."

However, from a broader generative model, the generative model with big data and large parameters will help to achieve a higher level of autonomous driving.

He Xiang, a data intelligence scientist at Mimo Zhixing, said in an interview with Titanium Media App that the vehicle-side capabilities mainly include two categories: perception and cognition. The perception ability really relies mainly on image technology, while the cognitive ability relies more on similar generation technology of ChatGPT.

That is to say,ChatGPT’s revolutionary significance lies in: letting AI model enter the era of knowledge and reasoning. At present, the biggest shortcoming of autonomous driving lies in the lack of sufficient intelligence in decision-making planning.

ChatGPT uses a training method called "Human Feedback Reinforcement Learning (RLHF)", and He Xiang, a data intelligence scientist at Mimo Zhixing, explained to Titanium Media APP.GPT is a large-scale universal pre-training language model. GPT1, GPT 2 and GPT 3 mainly improve the parameter scale, while ChatGPT mainly introduces human feedback data for reinforcement learning.

The introduction of this method can ensure the minimum output of useless, distorted or biased information according to human feedback in training.

It happens that there is also a kind of automatic driving decision algorithm called imitation learning, which is to let the machine learn how human drivers do it in different scenarios.

Generally speaking, every takeover by a human driver is an artificial feedback to the autonomous driving strategy; This takeover data can be simply used as a negative sample, which is a record that the autopilot decision is corrected. At the same time, it can also be used as a positive sample to improve cognitive decision-making

"The big model of big data and big parameters can learn more potential knowledge, including different environments and different scenarios, which is equivalent to learning a lot of common sense of autonomous driving. This common sense is very important for autonomous driving decisions." He Xiang, a data intelligence scientist at the end of the year, told Titanium Media App.

That is to say,In the process of autonomous driving research and development, the idea of human feedback reinforcement learning can be used to train a model to verify and evaluate the output of the machine model, so that it can make continuous progress and finally reach the driving level of human beings.

Therefore, it can be said that the improvement of basic ability has brought about the expansion of imagination and applicable scenarios. However, at this stage, we still can’t accurately judge how much change the big model represented by ChatGPT will bring to autonomous driving. An industry person told Titanium Media App that the excellent generalization ability trained by the big model may make there no corner case in the world.

Corner case refers to a small probability event that may occur during driving, but the frequency is extremely low. Although it is rarely encountered at ordinary times, it is likely to lead to a fatal traffic accident when encountering a corner case that cannot make a decision for an autonomous driving system.

The emergence of ChatGPT has made the industry realize that it is possible to gain a higher level of autonomous driving technology by constantly accumulating kilometers and running like this.

In fact, before this, both foreign Tesla and domestic Tucki, Baidu and Mimo Zhixing were already exploring the route of "big model".

In 2020, Tesla announced that it would introduce a large model based on deep neural network into its autonomous driving, and now it has realized a large-scale public beta of pure visual FSD Beta; Tucki expressed the viewpoint of using large models to get through the whole scene of XNGP on the 1024 Science and Technology Day in 2022. Baidu Apollo believes that the Wenxin model will be the core driving force of the elevator’s automatic driving ability.

As early as 2021, Mimo Zhixing announced that it would improve its data processing ability with the help of a large model. On February 17th this year, Mimo Zhixing officially upgraded the large model of human driving self-monitoring cognition to "DriveGPT", which will continue to introduce large-scale real takeover data, and continuously improve the evaluation effect through intensive learning of human driving data feedback. At the same time, it also uses DriveGPT as a cloud evaluation model to evaluate the driving effect of small models at the vehicle end.

However,The development of high-level self-driving cars is a complex multidisciplinary field, involving a wide range of technical and regulatory challenges. The progress of artificial intelligence technology can bring some impetus, but this is not a short-term problem.

It is reported that GPT3.0 involves 170 billion parameters, with more than 300 GB of memory, and the training process costs more than 12 million US dollars. The above-mentioned industry insiders said that the autopilot algorithm is to run in the car. Can such a large model be deployed to the car? How much computing power does it need to support? In addition, autonomous driving can not be completed by repetitive and simple road data stacking, so how to ensure a large amount of data is also a key issue.

The article is reproduced from the titanium media. The opinions in the article are only for sharing and communication, and do not represent the position of WeChat official account. If copyright issues are involved, please let us know and we will deal with them in time.

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