In November, 2023, Tesla announced that it had started to introduce the fully autonomous driving (FSD)V12 version to employees, which will introduce the neural network system and use the latest end-to-end autonomous driving technology, instead of relying on complicated and lengthy codes. In 2024, FSD V12 began to be fully promoted, and at the same time, it became possible for FSD to enter China. For a time, "end-to-end" has become the hottest word in the field of autonomous driving all over the world.

What exactly is end to end? Does landing end to end mean that the car will become a "robot"? How much help and influence does large model, multi-modal and neural network learning have on fully automatic driving? What is the strength of China Company in the field of AGI? Some time ago, we visited the headquarters in Shang Tang and talked with Dr. Wang Xiaogang, an industry expert, co-founder and chief scientist of Shangtang Technology and president of Jueying Smart Car Group. In the interview, we also learned more about the development and planning of Shang Tang Jueying in the automobile industry.

"Shang Tang is a leader in the field of AGI"

"Shang Tang’s business is all over the world"

1. What is the difference between AGI and traditional AI? What is end to end?

AI stands for artificial intelligence, which can perform specific tasks or solve specific problems, such as speech recognition, image processing and natural language processing. It can be highly specialized but limited to specific fields. Nowadays, AI technology is mature and widely used in medical, financial, transportation and other industries.

"AI is applied to high-speed rail detection"

"AI is applied to mine operations"

"AI is applied to medical examination"

AGI (General Artificial Intelligence) refers to a system with human-like general intelligence, which can show extensive adaptability in different tasks and fields. It is relatively simple to develop an artificial intelligence system in a specific field, and it is only necessary to train the model through a large number of data and specific algorithms. However, AGI needs to simulate the extensive cognitive ability and self-learning ability of human beings, which is extremely difficult to achieve.

"AGI requires more technology"

"Shang Tang’s big artificial intelligence device"

To better understand the end-to-end, we need to compare it with the traditional autopilot control logic: the traditional autopilot system adopts a modular deployment strategy, in which each function, such as perception, prediction and planning, is independently developed and integrated into the system, and it needs to be implemented step by step. End-to-end autonomous driving can make judgments directly after "seeing" the external scene, just like people, from information input to decision execution in one go, without intermediate links.

Direct perception emphasizes that the system obtains environmental information directly from the original data without too many intermediate processing and conversion links, which is a key starting point in end-to-end communication. Direct decision-making is to directly generate driving strategies and action instructions based on the perception results, which reduces the complicated reasoning and conversion process in the middle and is also an important embodiment from end to end.

End-to-end can realize the coherence and integrity of the whole automatic driving process, which includes not only perception and decision-making, but also the transformation of decision-making into actual vehicle control actions and seamless connection and efficient cooperation in the whole process. Therefore, direct perception and direct decision-making are one of the core features of end-to-end, but they cannot be simply equated with end-to-end. End-to-end is a more comprehensive concept covering the whole autonomous driving system from input to output.

"End-to-end is the key process of AGI technology development"

Of course, end-to-end can not only be applied in the field of intelligent driving, but this big model is more like people’s way of thinking, which saves complicated steps in the middle and reduces the loss of data. From information input to strategy output, the same set of algorithm models are used, often large models containing a lot of data and information. End-to-end application is the key process of AGI technology development.

Second, the core of developing AGI technology is originality.

AGI technology has been the focus of development in various industries all over the world in recent years. As a top expert in AGI field, Wang Xiaogang also shared some views with us.

When it comes to AGI, we can’t help but mention the hottest Chat GPT, the new GPT-4o, which combines large language model with multimodal, leading the development of the whole industry. However, behind the success, it is also the common progress of many top technology companies. Microsoft has provided a large-scale hardware and software infrastructure for Open AI, and Google has been studying related basic algorithms and Transformer neural network models for many years.

"Shang Tang Ruying Digital Human Video Generation Platform"

Although there are endless large language models and related applications in China, most of them are not original, and they are likely to fall into the embarrassing situation of "the price is getting lower and lower, but the core technology is progressing slowly".

Therefore, the development of large-scale models should not be rushed to commercialization, but should focus on improving their own capabilities. The key to the future lies in the joint training of multimodal data, which requires cooperation in many fields such as physics, psychology, cognitive science, data science and mathematics. Diversified data will help balance prejudice, reduce illusions and make large models more stable and reliable.

"Language model is a hot topic in recent two years"

At present, Open AI has made some progress in the fusion training of multimodal data such as video, pictures, voice and text. Although low latency and bionic interaction are only appearances, there is a prototype of AGI behind it. The realization path of AGI depends on the quality and diversity of training data, and the alignment and fusion of multimodal data in high-dimensional space is the biggest technical difficulty at present. The development of AGI needs not only technology, but also faith and love. China’s AGI needs its own Oppenheimer. Enterprises should focus on improving core competitiveness and technical originality, instead of falling into price war, so as to promote the long-term development of China’s AGI.

"Shang Tang has always insisted on technological originality."

Shang Tang has been insisting on technical originality step by step, which is why Shang Tang can stand out among so many companies related to artificial intelligence. As early as 2014, Shang Tang team released the DeepID series face recognition algorithm, which exceeded the human eye recognition rate for the first time, and even surpassed the DeepFace algorithm released by Facebook at the same time, achieving a breakthrough from 0 to 1.

"Team Shang Tang stands out among a number of artificial intelligence companies in China."

In 2018, Shang Tang started the research on the big model. At that time, there was no infrastructure that could provide enough computing power, not even the top domestic Internet companies Ali and Tencent. Shang Tang started the infrastructure construction in Shanghai Lingang, and the AIDC artificial intelligence computing center was laid out in advance for the future AI cloud computing and cloud services. With its own large-scale infrastructure, Shang Tang can develop in the industry more easily.

"AIDC artificial intelligence computing center is located in Shanghai Lingang"

In 2023, end-to-end technology became the key word of the industry with Tesla’s release of FSD V12, but as early as 2022, Shang Tang released end-to-end technology and said that end-to-end is the future. Recently, the multimodal explosion of GPT-4o is not a new technology for Shang Tang, and it has been studied and put into use for many years. Not long ago, SenseChat V5 of Shang Tang set a new record for SuperCLUE with a total score of 80.03, and surpassed GPT-4-Turbo-0125 in Chinese comprehensive score. This is the first time that a large domestic model has surpassed GPT-4 Turbo to reach the top in the Chinese benchmark test of SuperCLUE.

SenseChat V5 in Shang Tang has set a new record for SuperCLUE in China.

Shang Tang has always insisted on the originality of AGI-related technologies, and has come to the forefront of the world. Wang Xiaogang believes that homogeneous competition will lead to waste of resources, and originality is the source power to promote the development of global artificial intelligence industry. Of course, originality also means more uncertainty and greater risks, but if it succeeds, the breakthrough will be huge for the whole industry, which is what Shang Tang wants to achieve.

education department of shaanxi
Shaanxi Provincial Development and Reform Commission
　　　　　　Shaanxi province labor resources and social security department
　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 May 15, 2019

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Special feature of 1905 film network April 23rd is World Reading Day.

Talking about the significance of reading, Gorky once said: The more books I read, the closer I get to the world, the more I understand the meaning of life, and the more important I feel about life.

Helen Keller once wrote: "A book is like a ship, which leads us from a narrow place to the infinite ocean of life."

Reading enlightens the mind, and so does movies. In the school, the sea of books is the source of childhood happiness. "I read this text as if I were lying on a boat."

In school, reading carries the mission of saving the nation from extinction. In the arduous The National SouthWest Associated University, there are "masters" instead of "buildings".

In school, reading is the way to protect our thoughts. "We must learn to read in order to resist ignorance."

In the world, the power of words is also the brilliance of human nature. "The difference between us and the soil is words."　

Reading is the cheapest "luxury". No matter young or old, male or female, poor or rich, people can draw strength from books, enrich themselves and nourish their souls.

On the occasion of World Reading Day, China Film Report also launched the theme planning — — The special program "Reading Good Books for You" takes you into the spiritual world of filmmakers through a good book and a sentence.

"World Book Day, let’s read a good book together."

Acting predecessors: reading to be clear-cut

Xie Fang: Write a Song of Youth.

"Is this selling musical instruments? Passengers pay attention to the owner of this luggage. Not a businessman, but a girl student of seventeen or eighteen years old, guarding these elegant things lonely. This female student is wearing a white cheongsam, white socks and white sneakers, holding a plain white handkerchief in her hand, — — Everything is white. "— —Yang MoSong of youth

This girl, as pure as snow, is a writer Yang Mo and Lin Daojing created by Xie Fang in Youth Like a Song.

Xie Fang recalled that in 1958, on the train from Wuhan to Beijing, she was reading two books along the way, one was the novel Song of Youth written by Yang Mogang, and the other was the movie story board.

"There is a saying in reading novels that Lin Daojing is a pale and handsome girl. I thought at that time, am I that handsome? I don’t think I am handsome, and I am not a person who likes to look in the mirror. "In this way, Xie Fang, who doesn’t like looking in the mirror by studying the original works and trying to figure out the characters, makes Lin Daojing, a beautiful, quiet, independent and progressive woman, extraordinarily vivid and becomes a classic in film history.

Red Rock has established my world view.

"There is a heavy iron chain at your feet, and you can hold the whip high; I don’t need any confession, even if my chest is facing a bloody bayonet! People can’t lower their noble heads, but only beg for "freedom" for fear of death; What is torture? Death can’t make me speak! I laughed at death, and the devil’s palace shook in laughter; This is me — — Confessions of a Communist party member, singing a song of triumph to bury the Chiang family dynasty. "— — Luo Guangbin and Yang Yiyan’s Red Rock

The famous actor Lu Qi created one great man image after another in Armageddon. In 1988, he also won the Best Actor Award in the 10th Golden Rooster Award for his vivid interpretation of Deng Xiaoping in the baise uprising.

Lu Qi believes that "in addition to being close in appearance, it is more important to grasp the spirit of the characters, that is, their origins, knowledge, experiences, thoughts, demeanor and ideological connotations."By repeatedly reading classic books such as Red Rock, Lu Qi constantly improved his spiritual realm. "It is a lifelong thing to read wisely and remember your heart."

: Never too old to read.

"The vice squad leader said that after the victory of the Anti-Japanese War, the superior asked me to stay in the army, so I took a vacation and took her back. She is very capable and she can plant seedlings and grass."— —ShiyanThe Story of Liubao

In the movie, the second sister who sang "Sunny Days in 1999" while working became an enduring screen classic.

Outside the play, 86-year-old Tao Yuling bluntly said that his favorite is reading: reading stanislav’s "Self-cultivation of Actors" is the perfection of acting skills; Reading the classic works such as Sunrise and Thunderstorm, you will be amazed at the fate of the characters in the book."I really want to play our country’s famous works. The four phoenixes and fanyi in Thunderstorm are really classics."　

Zhang Yongshou:Full of revolutionary romance

"Wan Ma Jun is a little girl, and her face looks like a dew."— —Qubo《immense forestSnowfield

Zhang Yongshou is well known to the audience for his role as chief of staff Shao Jianbo in the film "Lin Hai Xue Yuan". In the process of shaping the role, the original novel is an important source of inspiration for him.

Qu Bo’s "Lin Hai Xue Yuan" depicts the arduous fighting life of the PLA scouts with colorful pen and ink, and also shapes a series of heroic images such as Yang Zirong and Shao Jianbo. The hazy love between Shao Jianbo and "Little White Dove" is more permeated with revolutionary romanticism.Zhang Yongshou said that in order to make the characters full and three-dimensional, he read the novel more than three times. "Comrade Qu Bo wrote the love story into the bandits."ChengzhiHow difficult it is! Love and friendship forged in hard struggle are inseparable for life. "

: Favorite "Mao Zedong Poetry"

"The rain falls deep and remote Yan, whitewater monstrous, fishing boat outside Qinhuangdao. We can’t see a piece of Wang Yang, so who can we turn to? The past more than one thousand years, Wei Wu brandished a whip, and Jieshi left a legacy in the east. The autumn wind is blowing again today, and it has changed the world. "— — Mao Zedong’s Langtaosha Beidaihe

In founding ceremony, Armageddon and A Mao Zedong in China, Liu Zhibing played Mao Anying, the son of Chairman Mao, for many times, which won wide acclaim from all walks of life.Liu Zhibing, 58, still keeps the habit of reading more than a dozen books a year, and knows Chairman Mao’s poems by heart.I tried to read Chairman Mao’s majestic poem from the perspective of Mao Anying, which is like a spiritual dialogue between their father and son. "

The younger generation: reading enriches themselves.

Celina Jade:Psychology books make me understand roles better.

"Life has never been such a simple dream and tribulation. It is not a simple so-called ideal and conspiracy. Life is not such a simple concept. What real life is like is what we complete and answer ourselves."— —Cai Chongda’s Skin

"I hope this sentence can bring you free souls and the power to pursue your dreams." This is the reason why Celina Jade recommended Skin.

In life, Celina Jade loves psychology books. These good books can not only help her understand her cognitive self, but also be part of the actor’s self-cultivation. "We can understand the role only by understanding psychology, so as to better interpret the role."Performance is the process of the integration of the actor’s self and the role psychology, just as she is inWolf Warriors 2.The aid doctor played in, inGhost Blowing the Lantern’s Star ArtShirley Yang, portrayed in the novel, "Only by putting in your concepts and ideas on the basis of the original work will this role become’ your own’."

: favoriteoriginal work

"Nothing is more painful than loneliness in my heart."— — Anne babyT.a.　

"The literary imagination and the interpretation of human nature in the novel words touched me the most." For Elaine Zhong, who was born after 1990s, Anne Baby’s novels bear the feelings of her schooldays, and they are in harmony with the soul of Weiyang, which made her decide to star in the film t.a.

Although the overall reputation of the film is not good, Elaine Zhong’s interpretation of Weiyang has won the recognition of Anne Baby. She wrote: "The shape and temperament of Weiyang played by Elaine Zhong are currently the most in line with the prototype of women in the book. Several opposite plays between Elaine Zhong and show a rare and delicate expression of emotion in domestic films. "

Apart from youth literature, Elaine Zhong, who was crazy about reading when he was a child, was once a "small library" among his classmates. He is very familiar with world famous works such as Gorky Trilogy, Childhood, My University, On Earth, The Count of Monte Cristo, Gone with the Wind and Jane Eyre.

"Little Ear" loves suspense reasoning.　　

"As God is my witness, I am a good girl, I have excellent grades, I am helpful, hardworking and respectful to my elders, and I am willing to live day after day."— —Rao Xuemanthe left ear

Rao Xueman’s novel is obviously of special significance to Chen Douling because she starred in the youth film Left Ear and entered the entertainment circle. Gentle but stubborn "small ears" have many similarities with Chen Douling in appearance and personality.But in daily life, what Chen Douling likes to read most isKeio DongyeWaiting for the writer’s suspense and reasoning novels, "When reading such novels, I will bring myself, and I also hope to be able to appear in film and television works adapted from such novels, such as the policewoman in detective films."

Huang Xiaoming: Excellent works are read repeatedly.

"Recently, I will turn over the books I have read before and read them again. For example, kazuo inamori’s Living Method, Dry Method and Heart Method, and Amway gave them to all my colleagues, and one person bought them a set."

Argentine writer Bill Hess once said: If there is a heaven, it should be like a library.To enjoy reading, "World Book Day" is just the beginning.Go and read the book you want to read, while the breeze blows gently, the spring is just right.