CCTV News:Another year, the world Internet once again entered "Wuzhen Time". On December 3-5, the 4th world internet conference was held in Wuzhen, Zhejiang.

　　The theme of this conference is "Developing Digital Economy and Promoting Open Sharing — Working together to build a community of cyberspace destiny "is the theme, and 20 sub-forums are set up, involving hot issues such as digital economy, cutting-edge technology, Internet and society, cyberspace governance, exchanges and cooperation.

　　Ma Yun, Ma Huateng, Li Yanhong and other Internet café s all chatted? What important information was released?

　　Ma Yun: Robots will replace most mechanical work.

　　"New technology is not to make people unemployed, but to make people do more valuable things, to make people not repeat themselves, but to innovate and make people’s work evolve."

　　Ma Yun, chairman of Alibaba’s board of directors, believes that instead of worrying about technology taking away jobs, it is better to embrace technology and solve new problems. Human beings have unique creativity, so they should have confidence, and it is impossible for machines to surpass human beings.

　　Ma Yun said that only by becoming a "community of destiny" and building a "community of destiny" can mankind meet the new era and challenges together.

　　A series of problems faced by mankind are common, and the global industrial chain will definitely change completely, not containers, but small express, not Made In China or Made In America, but Made In Internet, not B2C, but C2B.

　　Ma Yun said, more importantly, in the next 30 years, the manufacturing industry will no longer be the engine of employment, and the future manufacturing industry will be the service industry, and the future service industry must also be a new type of manufacturing industry.

　　becauseMachines will take the place of most mechanical jobs. Machine Learning and Artificial intelligence will definitely make robots take the place of many people’s jobs, while human beings will engage in more creative, creative and experienced jobs, and the service industry will definitely become the main source of future employment.

　　Ma Huateng: China enterprises need to become drivers and contributors of new technologies.

　　Ma Huateng, Chairman and CEO of Tencent, said: If Tencent wants to become an Internet-based technology and culture company, the most crucial thing is innovation.

　　"In the past, China enterprises mainly played the role of followers of new technologies, but today we need to be drivers and contributors of new technologies and work together with global partners to develop synergistically."

　　Ma Huateng said: "We open the latest technology to enterprises through Tencent Cloud; Promote the development of cultural and creative industries through the content open platform. In the future, more scientific and cultural products will go to the world through the digital Silk Road. "

　　Li Yanhong: The demographic dividend of the Internet is gone, but there is still a technology dividend.

　　Li Yanhong, Chairman and CEO of Baidu Company, provided a set of data in his speech:

　　"In the past four years, the growth rate of Internet users in China was slower than that of GDP in China, which means that the demographic dividend of the Internet is gone."

　　Although the demographic dividend has ended, Li Yanhong believes that the continuous increase in the number of netizens, online time and online information has promoted the rapid development of the Internet industry and the progress of artificial intelligence technology.

　　Therefore,"There is no demographic dividend and technical dividend. Technological innovation represented by artificial intelligence will continue to promote the development of the digital economy."

　　Li Yanhong believes that,The driving force of the future development of digital economy is artificial intelligence, and compared with the past Internet technology, artificial intelligence has a great feature, that is, it has the ability of vertical integration.

　　He took Baidu Apollo platform as an example. Based on autonomous driving technology, Apollo can involve different companies and even different industries in the upstream and downstream of the industrial chain, and many fields will benefit from it. Based on this, Li Yanhong believes that the development of artificial intelligence technology will promote the continuous progress of technology and society.

　　What’s the next outlet? Zhang Chaoyang pointed to the consumer Internet.

　　The internet industry is in full swing, where will the next outlet be? Zhang Chaoyang, Chairman of Sohu Board of Directors, said:

　　"The biggest feature of China is that there are many people and netizens. If you want to do what you want to do most successfully in China, you must do Internet consumption, business for end users, entertainment, leisure, communication and information distribution. Knowledge is the most important field."

　　In the Internet age, the future social knowledge will become more accurate, the granularity will be more refined, everyone will be smarter, and the communication efficiency will be high. The life of modern people is really exploding in an order of magnitude.

　　Shen Nanpeng: The collapse of bike-sharing is very positive.

　　Recently, there have been frequent negative news about sharing economy. Some people even say that sharing economy is the biggest lie in the 21st century, and sharing economy is a false proposition.

　　As an investor, Shen Nanpeng, global managing partner of Sequoia Capital, also gave his own views in an interview.

　　In view of the collapse of bike-sharing, Shen Nanpeng thinks that it is actually very positive and belongs to the survival of the fittest in the development process. At the same time, he thinks that we should give more time and more opportunities to the sharing economy companies.

　　Xu Zhijun: In the future society, 5G will be everywhere.

　　Xu Zhijun, CEO of Huawei, revealed thatHuawei will launch a complete set of 5G network equipment solutions for large-scale business in 2018.Support global operators to deploy 5G networks; In 2019, Kirin chips supporting 5G were launched, and smartphones supporting 5G were launched simultaneously.

　　 "5G can greatly enhance consumers’ mobile Internet experience. For example, with 5G technology, it takes less than 2 seconds to download 6GB HD movies. Secondly, 5G can support the connection of 100 billion objects and provide industrial-grade reliability and real-time. These capabilities make 5G a key foundation for supporting the smooth implementation of industrial strategies such as Industry 4.0 and Made in China 2025."

　　Xu Zhijun said that Huawei expects that 5G will become a universal wireless technology. In the future society, 5G will be everywhere, and all places in human society that need wireless connection will be realized through 5G.

In recent years, there have been many kinds of tea shops, and this year, there has been a wave of national milk tea. This kind of milk tea, also known as "new Chinese milk tea", highlights the classical and ethnic charm in packaging and naming. With traditional pure tea as the tea base and fresh milk added, it tastes mellow. Compared with the new milk tea represented by milk cover tea and fresh fruit tea, the new Chinese milk tea seems to have its own cultural attributes, showing full cultural confidence.

Go to tea together on weekends.

today

Xiaohong recommended it to everyone.

Several Hongkou

New Chinese milk tea with good reputation

Overlord tea girl *

Bawang Tea Ji, a brand of milk tea from Yunnan, opened its first store in Dragon Dream in Hongkou this year. It is said that Bawang Tea Ji has more than 1,200 stores all over the country and was named "the king of milk tea queuing". The branch in Hongkou is also crowded, and it takes an hour or two to get a cup of milk tea.

When it comes to this tea shop, many people prefer Bo Ya Jue Xian. Xiaohong recommended a cup of milk tea with an unpopular but unique flavor-Qingqing Nuoshan. After drinking it, every bite has a rich fragrance of glutinous rice.

Jasmine milk white

Jasmine milk white, a new brand of milk tea from Guangzhou. In the past two years, this tea shop has blossomed everywhere in Shanghai. Friends who like the fragrance of jasmine tea should not miss the signature milk tea with jasmine milk white. The rich fragrance of jasmine tea and mellow milk taste make it refreshing and fragrant.

Tong Han chun cha er si qi Jie cha

A century-old brand has also joined the ranks of milk tea, taking the route of national tide milk tea. Tong Hanchun tea combines 24 solar terms, focusing on healthy and unburdened tea. The combination of tea, milk and Chinese herbal medicine can not only quench thirst, but also preserve health. It is recommended to drink peach gum and osmanthus wine, which is rich in milk flavor and fragrant in wine, not sweet or greasy.

Danma tea house

Danma Tea House is a dark horse in the field of milk tea. Founded four years ago, it focuses on novel fruit tea that combines with niche fruits. Chaoshan Huangpi, Hainan Lianwu and Minnan guava are all minority fruit teas that are deeply loved by customers. This winter, milk tea longan and gardenia buffalo milk with new Chinese style was introduced, with sweet longan and gardenia fragrance, and the evaluation was good.

Xicha

Xicha is an old-fashioned "queuing king" in the milk tea industry. In order to keep up with the trend of new Chinese milk tea, Xicha has also joined the market of new Chinese milk tea. Shui Yunjian Light Tea Milk Tea, a new product, is very popular among young customers under the banner of ultra-low calorie and no non-dairy creamer. The design of black-and-white ink painting patterns printed the feelings between mountains and rivers on the cup.

Which milk tea shop do you like best?

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Reporter: Huang Yishu

Photo: Huang Zhongshu, from the Internet.

Original title: "These milk teas are not only delicious, but also rich in ancient charm →"

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Regulations on handling social insurance

Since its official implementation on December 1, 2023,

Everyone is very concerned about what service measures are available for the convenience and benefit of the people.

I shared some social security hot questions and answers with you before.

Click the link below to review it ~

The new social security regulations will be implemented today! These hot issues need to be understood, and today we have sorted out some more.

Issues of concern to everyone.

Come and have a look ~

Q1

What should individuals do if they stop enjoying social insurance benefits as stipulated by the state?

When an individual ceases to enjoy social insurance benefits as stipulated by the state, for example, when an individual receiving a basic pension dies or is in prison, the employer, the person enjoying the benefits or their relatives shall inform the social insurance agency within 20 working days from the date of the relevant situation. The social insurance agency shall stop issuing the corresponding social insurance benefits after verification.

Q2

How does the social insurance agency verify the eligibility for treatment?

The "Regulations" stipulate that social insurance agencies shall verify the eligibility for social insurance benefits through information comparison and self-service certification. If it is impossible to confirm the eligibility of social insurance benefits through information comparison and self-service certification, the social insurance agency may entrust the employer or a third-party institution to verify.

At present, local social insurance agencies mainly share data with public security, justice, civil affairs, transportation, health, medical insurance, courts and other departments through internal data comparison, and promote self-service authentication methods such as face recognition to verify the eligibility of social insurance benefits.

Q3

What requirements does the Regulations put forward for cross-departmental and cross-regional social insurance handling?

The "Regulations" stipulate that social insurance agencies should rely on social insurance public service platforms and medical security information platforms to achieve cross-departmental and cross-regional social insurance management.

In recent years, the human and social departments have accelerated the construction of a unified national social insurance public service platform. In 2019, the national social insurance public service platform was put into operation. By the end of September, 2023, the national social insurance public service platform had provided 83 national and trans-regional social insurance services, such as rights inquiry, transfer application, qualification certification, treatment calculation, unemployment insurance benefits application, work injury identification, etc., and realized cross-departmental and trans-regional information sharing and business collaboration from inquiry to business acceptance.

Q4

What are the requirements of the Regulations for the construction of social insurance handling system?

The "Regulations" stipulate that the administrative departments of human resources and social security and medical security should strengthen the service capacity of social insurance to achieve full coverage of provinces, cities, counties, towns (streets) and villages (communities).

China has basically established a five-level social insurance management system and service network from the central government to provinces, cities, counties and towns (streets). By the end of 2022, there were more than 5,300 basic old-age insurance, industrial injury insurance and unemployment insurance agencies nationwide, and the service network covering urban and rural areas was increasingly sound. The function of the grid service platform continued to improve, and the convenience and accessibility of services were significantly improved.

Q5

What channels can employers and individuals handle social insurance affairs?

Employers and individuals can handle social insurance affairs through government websites, mobile terminals, self-service terminals and other service channels, or go to the social insurance handling window for on-site handling.

At present, the national social insurance public service platform, government website, mobile terminal and self-service terminal have become the main channels for employers and individuals to handle social insurance affairs, and high-frequency social insurance services such as social insurance personal rights record inquiry and pension insurance relationship transfer and connection can be handled online.

Q6

What convenient services should social insurance agencies provide for special groups such as the elderly and the disabled?

The Regulations stipulate that social insurance agencies should strengthen the construction of barrier-free environment, provide barrier-free information exchange, improve barrier-free service facilities and equipment, and provide convenience for special groups such as the elderly and the disabled by means of authorized agency and on-site service.

In practice, the convenient services provided by local social insurance agencies for special groups such as the elderly and the disabled mainly include: the service places are equipped with guides, the on-site reception windows are set up, and special groups are given priority; Improve the service of handling the agency and promoting the "one-stop" service; Building barrier-free ramps, setting up barrier-free signs, and providing barrier-free toilets; Provide on-site service for the elderly at home, especially for key groups such as the elderly, seriously ill, disabled and empty nest.

Q7

What are the provisions of the Regulations on reducing the proof materials submitted for handling social insurance affairs?

On the basis of fully summarizing the experiences and practices of social insurance agencies in various places, the Regulations adhere to the people-centered principle, follow the principles of legality, convenience, timeliness, openness and safety, achieve "all reductions should be made", effectively reduce all kinds of certification materials, and cancel a number of unnecessary certification materials such as marriage certificate, work injury identification conclusion, termination or dissolution of labor relations required by relevant laws, regulations and workflow.

Q8

Can employers and individuals inquire about their own social insurance related records?

The "Regulations" stipulate that social insurance agencies provide employers and individuals with related services such as inquiring and checking social insurance payment, enjoying social insurance treatment records and social insurance consultation free of charge.

Employers and individuals can enjoy online services such as inquiring and checking payment and consulting social insurance treatment records under the social insurance handling window, and can also realize online inquiry of relevant information through national social insurance public service platforms or local social insurance public service platforms, mobile terminals and self-service terminals. Online and offline inquiry and consultation services provided by social insurance agencies are free services.

Q9

Why do you want to sign a service agreement with social insurance service agencies?

The "Regulations" stipulate that social insurance agencies shall, according to the needs of handling work, negotiate and sign service agreements with qualified institutions to regulate social insurance service behavior. Signing a service agreement is conducive to the certainty and clarity of rights and obligations between social insurance agencies and service agencies, and to the mutual supervision among agencies, service agencies and insured persons.

Q10

What are the provisions of the Regulations on the information management of social insurance agencies?

The "Regulations" stipulate that social insurance agencies shall properly keep social insurance agency information to ensure that the information is complete, accurate and safe.

Social insurance handling information is related to the legitimate rights and interests of employers and individuals. Social insurance handling institutions should record social insurance handling information in a timely, complete and accurate manner and keep it properly to prevent information from being leaked, tampered with or lost.

Q11

What are the provisions of the Regulations on the internal control of social insurance agencies?

The Regulations stipulate that social insurance agencies shall establish and improve internal control systems such as business, finance, safety and risk management. The social insurance agency shall regularly inspect and evaluate the formulation and implementation of the internal control system, and rectify the problems found.

Q12

What matters should the social insurance agency check?

The "Regulations" stipulate that social insurance agencies shall check the following matters: (1) Social insurance registration and treatment enjoyment; (two) the social insurance service institutions to fulfill the service agreement, the implementation of cost settlement items and standards; (3) Other matters stipulated by laws and regulations.

In practice, social insurance agencies take the methods of daily verification, key verification and report verification, and carry out verification on social insurance registration and treatment enjoyment, social insurance service institutions’ performance of service agreements, and implementation of expense settlement items and standards according to laws and regulations, which has played an important role in maintaining the security of social security funds.

Q13

How does the social insurance agency handle the violation of the service agreement by the social insurance service agency?

Social insurance service institutions shall provide services in accordance with the service agreement and the relevant provisions of the state, and social insurance agencies shall manage social insurance service institutions through the service agreement.

If the social insurance agency finds that the social insurance service institution violates the service agreement, it can urge it to perform the service agreement, suspend or not allocate the fees, recover the illegal fees, suspend the social insurance services involving the use of social insurance funds by the relevant responsible personnel or departments in accordance with the service agreement, until the service agreement is terminated; Social insurance service institutions and their relevant responsible personnel have the right to make statements and defend themselves.

Q14

How do social insurance agencies deal with violations of social insurance laws, regulations and rules?

Social insurance agencies shall order employers, individuals and social insurance service agencies to make corrections if they find that they violate social insurance laws, regulations and rules. Those who refuse to make corrections or should be handled by the administrative departments of human resources and social security and medical security according to law shall be handed over to the administrative departments of human resources and social security and medical security for handling in time.

Q15

What are the provisions of the Regulations on the credit management of social insurance?

The "Regulations" stipulate that the administrative departments of human resources and social security and medical security in the State Council shall, jointly with relevant departments, establish a social insurance credit management system, and clarify the criteria for identifying the list of serious untrustworthy subjects in the social insurance field. Social insurance agencies shall truthfully record the acts of dishonesty of employers, individuals, social insurance service institutions and their staff in violation of social insurance laws and regulations.

Q16

Do individuals need to return the social insurance benefits they have enjoyed?

Need. The "Regulations" stipulate that individuals who enjoy more social insurance benefits shall be ordered to return by social insurance agencies. For individuals who enjoy more social insurance benefits, in principle, they should be returned in one lump sum. If it is difficult to return it at one time, a repayment agreement can be signed to return it by stages, or it can be deducted from the social insurance benefits or personal account balance it enjoys later.

Q17

Does the individual have the obligation to cooperate with and accept the supervision and inspection in the field of social insurance?

Yes. The Regulations stipulate that the administrative departments of human resources and social security and medical security shall, in accordance with their respective duties, strengthen the supervision and inspection of social insurance service institutions, employers and individuals’ compliance with social insurance laws, regulations and rules. Social insurance service institutions, employers and individuals shall cooperate with each other, truthfully provide information related to social insurance, and shall not refuse to check or make false or concealed reports.

Q18

Can employers and individuals supervise social insurance handling?

Sure. The "Regulations" stipulate that the administrative departments of human resources and social security and medical security should unblock the channels of supervision and encourage and support all sectors of society to supervise the handling of social insurance. Social insurance agencies shall regularly announce to the public the participation in social insurance and the income, expenditure, balance and income of social insurance funds, listen to the opinions and suggestions of employers and individuals, and accept social supervision.

Q19

Can individuals report violations of social insurance laws and regulations?

The "Regulations" stipulate that any organization or individual has the right to report and complain about violations of social insurance laws, regulations and rules. The administrative department of human resources and social security and the administrative department of medical security shall handle the reports and complaints received about social insurance according to law.

According to the relevant regulations, the administrative department of human resources and social security shall, after receiving the report, conduct a review within 5 working days, and transfer the report that the department does not have jurisdiction to the administrative department of human resources and social security that has jurisdiction, and inform the real-name whistleblower of the transfer destination. The administrative department of human resources and social security shall, within 10 working days from the date of receiving the report, inform the real-name whistleblower with notification requirements through paper notice, e-mail or SMS.

Q20

How do employers and individuals safeguard their social insurance rights and interests?

The "Regulations" stipulate that employers and individuals may apply for administrative reconsideration or bring an administrative lawsuit in accordance with the law if they think that social insurance agencies infringe upon their social insurance rights and interests in social insurance handling.

Infringement of social insurance rights and interests mainly includes: social insurance agencies do not handle social insurance registration, pay social insurance benefits, handle social insurance transfer and connection procedures or infringe other social insurance rights and interests according to law.

Q21

How to deal with the disclosure of social insurance information of employers and individuals?

The Regulations stipulate that the administrative departments of human resources and social security, medical security, social insurance agencies and their staff shall protect the information of employers and individuals according to law and shall not disclose it in any form. "Leak" includes both the behavior caused by a kind of intention subjectively and the behavior caused by negligence.

The "Regulations" stipulate that if the administrative department of human resources and social security, the administrative department of medical security, the social insurance agency and its staff disclose the employer and personal information, the responsible leaders and the directly responsible personnel shall be punished according to law; If losses are caused to the employing unit or individual, it shall be liable for compensation according to law.

Q22

What kind of consequences should fraudulent insurance bear?

Fraud, forgery of certification materials or other means to defraud the social insurance fund expenditures have many situations, for example, illegal one-time payment, illegal early retirement, taking the social insurance benefits of the deceased, enterprises defrauding the unemployment insurance to return it, individuals defrauding unemployment insurance benefits, and industrial injury insurance agreement service agencies defrauding the fund.

The "Regulations" stipulate that if the social insurance fund expenditure is defrauded by fraud, forged certification materials or other means, the administrative department of human resources and social security and the administrative department of medical security shall order it to be returned according to their respective duties and impose a fine of more than 2 times and less than 5 times the amount defrauded; Belonging to the designated medical institutions, it shall be ordered to suspend the social insurance services involving the use of social insurance funds for more than 6 months and less than 1 year, until the service agreement is terminated by the social insurance agency; If it belongs to other social insurance service institutions, the social insurance agency shall terminate the service agreement. Responsible leaders and directly responsible personnel who have professional qualifications shall be revoked by the relevant competent departments according to law.

Original title: "The new social security regulations are in force! Latest Q&A

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　　The Crown, which can be said to be one of Toyota’s oldest classic models, can also be said to have witnessed the growth of Toyota and become one of the most popular Japanese cars in the world. Now the Crown has evolved to the 16th generation and started to create a new story.

　　Based on the concept of "innovation and challenge", on July 15, Toyota released the new crown, and the four models of the all-electric series present the crown characteristics of the new era of automotive revolution, which will provide global consumers with a new experience.

　　Bright history

　　Tracing the history of the Crown is like flipping through the history of the development of Japanese cars, which was the founding era of Toyota. Ninety years ago, the founder Kiichiro Toyoda decided to accept the challenge and enter the automobile industry. He embarked on an ambitious dream of building a car. His dream of a domestic passenger car was finally mass-produced in January 1952, 15 years after the company was established. He named the car "Crown".

　　In 1957, the Crown entered the Australian Rally, becoming the first Japanese car to compete in an international rally. Soon after, Toyota took the bold step of exporting it to the United States for the first time, marking the beginning of Japanese passenger car exports.

　　The third-generation Crown was launched in 1967, when personal car purchases in Japan began to take off. Toyota introduced the widely known White Crown, which became an important driving force for the development of Japanese automobiles.

　　Over the next two decades, the Crown grew into something that consumers sought after. Introduced in 1971, the fourth-generation model boldly adopted new styling and created a new image in the face of increased competition from foreign models. However, some quality issues caused sales of the Crown to struggle, and Toyota has learned from this and has always kept it in mind: that the Crown must first meet the core needs of customers.

　　Since then, Toyota’s chief engineers have carefully balanced innovation and customer expectations in their pursuit of the crown, a philosophy that has been successful with the seventh and eighth generations of the crown, which became a status symbol with the slogan "Someday, a crown," followed by the eighth generation, which recorded the highest sales in history. At this time, the crown has undoubtedly become the representative flagship of Japanese cars. But it also reached its peak at that time.

　　Since the ninth generation, Toyota has entered a difficult transition.

　　The first was a change in the positioning of the Crown within Toyota. In 1989, the Lexus LS model was sold in North America in September. In Japan, because Toyota did not have a Lexus sales network, the LS was sold under the name Toyota Celsior. This change was a major turning point in the history of the Crown.

　　In 1991, after the bubble economy burst, Japan’s economy fell into recession, which reduced demand for luxury cars. At the same time, competition from imported cars intensified. The ninth and tenth generation of the Crown had to face these severe headwinds and enter a transition period.

　　In the early 2000s, Toyota accelerated its foray into overseas markets, pursuing a larger sales and production scale. This gradually led to a preference for more profitable models and markets.

　　Fears grew that the model might be discontinued as sales of the crown dwindled, but that sense of crisis also fueled the development of the 12th-generation crown, which was launched in 2003. Revitalizing the crown required a fresh start, redeveloping the platform and engine to deliver world-class advanced drivability.

　　In 2008, the global automotive industry was affected by the financial crisis, the three major automobile giants in the United States almost went bankrupt, and Toyota was also hit hard. Although it won the title of the world’s largest automobile manufacturer that year, its loss reached 461 billion yen. Despite the difficulties, Toyota still persisted in the challenge of Crown transformation.

　　From the 14th generation "Crown of Rebirth" to the 15th generation "Crown of Connection", the shape of the crown has changed, the platform has been updated, and the driving performance has been honed at the Nürburgring.

　　New Crown Story

　　As the first high-end model developed by Toyota alone and overcome many difficulties, the Crown, born in 1955, is full of "innovation and challenge" DNA and has been passed down by successive models.

　　Times change faster than product updates. After 67 years, Crown, as a flagship model, must pursue new value ahead of the times and meet the diverse needs of consumers. The 16th generation of Crown will create a new era.

　　This time, when the Toyota development team developed the new crown, they fully thought about "what is a crown?" and pursued the "style of the new crown", resulting in four new crown products: a sedan, a crossover, and two SUVs with different appearances.

　　Developing four products simultaneously is no easy task, made possible by Toyota’s internal development process and new platform architecture, TNGA, which also proves that Crown has long been the flagship of the Toyota brand.

　　Not only is there a new style of "CROSSOVER" that combines SEDAN and SUV, but also a medium-sized SUV "SPORTS" that combines high practicality and sportiness under a smooth appearance; not only is there a large SUV "ESTATE" that combines the unique atmosphere and appeal of the crown, but also "SEDAN" that condenses the traditional and stable style. It will be introduced globally in the future.

　　The crossover version of CROSSOVER is the first protagonist. It transforms from a traditional sedan to a crossover form that mixes sedans and SUVs. For Crown, it means opening an innovative chapter and expressing a new value that is not constrained by traditional concepts.

　　The combination of sleek, coupe-like silhouettes and high-end styling that conveys a sense of power reveals a new look for the flagship model of the new era. Large-scale tires that break the concept of traditional sedans, as well as innovations in the body structure, create a spatial balance between the body and the tires, creating a strong style that is neither a sedan nor an SUV, and has the stability of a premium sedan.

　　The interior design has also been greatly improved, with the LCD dashboard and 12.3 central control screen forming a connected screen layout, horizontally integrating functional layouts that can be operated intuitively from any seat. The wraparound shape from the dashboard to the door also gives a very special feeling, allowing the driver to focus on driving and the passengers to be comfortable and happy. Every accessory is meticulous, and the understated and warm decoration of WARM STEEL, the attractive and comfortable shift lever, the seat that provides security, etc., all help to create a sense of quality and richness in the space. A total of 12 body colors and four interior color combinations provide a personalized choice.

　　The new generation of Crown will be available in two hybrid forms: 2.5L + electric motor and 2.4T + electric motor. For the first time, the hybrid system combines an in-line 4-cylinder turbine engine that can generate powerful torque even at low revolutions. It provides the latest eAxle electric powertrain with high torque and Toyota’s newly developed bipolar nickel-metal hydride battery, which responds linearly to throttle operation and creates a comfortable acceleration feeling. The CROSSOVER Crown can achieve its class-leading fuel economy and tranquility, demonstrating distinctive high quality and smooth driving performance.

　　In China, the historical origin of the crown began in 1964 with the import of the second-generation crown. In 2005, FAW Toyota began to produce the 12th-generation crown and started selling it under the name "Crown". After that, the luxury MPV Crown Weifa and the medium and large luxury SUV Crown Land were launched successively, meeting the diverse needs of consumers.

　　As the flagship model of the Toyota brand, the Crown series models are deeply loved by many consumers in China. As of now, the cumulative sales in China are about 640,000 units. The first model released this year is expected to start selling in China, and other models are also planned to be gradually introduced into China.

　　Toyota’s crown represents the success and pride of Japanese cars. The four new crown products carry new missions, challenges and progress, and will create a new story for the crown. (Text: Yang Xiaohong, Photo: Toyota)

At the end of 2022, the outbreak of generative artificial intelligence brought artificial intelligence into people’s sight again. The discussion of artificial intelligence, which has been silent for a long time in the legal field, has risen again. The construction of smart courts is also accelerating, and whether generative artificial intelligence can help become an urgent problem. In fact, the application of artificial intelligence in smart courts is not a new topic. Most scholars have elaborated on the theory inside, but in fact, the construction of artificial intelligence in Chinese courts is relatively slow. Some problems mentioned in theory may not have appeared in practice, but the emergence of generative artificial intelligence has broken this situation. The application of artificial intelligence in smart courts needs to face the problems that were once "science fiction". By explaining the principle of llm-type generative artificial intelligence, it leads to the necessity of its application in smart courts. At the same time, it lists the existing commercial models and the practical application and future exploration of courts. Finally, the possible problems in practice are answered through legal provisions and technical operation.

foreword

Since 2017, with the viral spread of alphago, artificial intelligence has become the hottest topic at that time. Similarly, discussions about smart courts and artificial intelligence have also exploded. Of course, the popularity of smart court+artificial intelligence did not last long. On the one hand, it is because there are other more novel contents, such as metauniverse and nft；; On the other hand, because artificial intelligence did not explode like people imagined, the sci-fi "robot judge" did not appear. It is precisely because of the slow development of artificial intelligence that most articles do not analyze the specific application of smart courts, and most of them focus on the theoretical research of artificial intelligence in smart courts, including but not limited to data security and algorithm risk.

"To sum up, although the research on legal artificial intelligence in the theoretical circle is lively, it is still in the pioneering stage, and there is still a lack of deep grasp and thinking about the current situation and future of the application of legal artificial intelligence. As for the suggestions on how to use legal artificial intelligence, it is only directional. Compared with the theoretical circle, the practical circle may have more expectations for legal artificial intelligence and take many practical actions. " The theoretical research on smart courts and artificial intelligence in China is very perfect, but many forward-looking issues have not received enough academic attention in the construction of smart courts. In academic discussions, the specific application in practice has not been considered too much. Therefore, this paper will focus on whether it can be applied to smart courts immediately, what the application scenario is, and the exploration of the future.

On December 9, 2022, the Supreme People’s Court issued "Opinions on Standardizing and Strengthening the Judicial Application of Artificial Intelligence" (hereinafter referred to as "Opinions on Artificial Intelligence"), listing specific objectives, principles and application scope. Among them, Article 2 explicitly mentions: "By 2025, a relatively complete judicial artificial intelligence technology application system will be basically established, providing all-round intelligent auxiliary support for justice for the people and justice, significantly reducing the workload of judges’ routine work, effectively ensuring clean justice, improving the level of judicial management, and innovatively serving social governance. By 2030, the application and theoretical system of judicial artificial intelligence technology with rule guidance and application demonstration effect will be built to provide high-level intelligent auxiliary support for the whole process of justice for the people and fair justice, and the application of normative principles will be widely recognized by the society, greatly reducing the workload of judges’ transactional work, effectively ensuring clean justice, accurately serving social governance, and fully demonstrating the application efficiency. " It can be seen that the judicial application of artificial intelligence is the general trend and the key direction of the construction of smart courts in the future.

Coincidentally, at the end of December, 2022, the large language model (llm), represented by the generative pre-trained transformer (gpt), began to spread all over the world, and its appearance broke the artificial intelligence market that had been silent for many years. Generative ai refers to the technology of generating text, pictures, sounds, videos, codes and other contents based on algorithms, models and rules. This is an unsupervised or partially supervised machine learning framework, and generates content by using statistics, probability, etc. Different from previous artificial intelligence, generative artificial intelligence can not only extract information, but also create content and learn its pattern and distribution by using existing digital content inspection training examples. This paper discusses llm-type generative artificial intelligence represented by chatgpt. The explosion of llm-type generative artificial intelligence obviously exceeds people’s imagination of artificial intelligence, and artificial intelligence that has been silent for a long time has once again entered people’s eyes. Before chatgpt appeared, the application of any artificial intelligence practice was still relatively basic, mainly such as grammar checking, language polishing, text translation, data analysis, etc. This kind of automation technology with almost no adaptive ability is often called weak artificial intelligence. howeverChatgpt llm-type generative artificial intelligence has strong natural language processing ability and strong artificial intelligence characteristics, and has the ability to directly generate content. While people are surprised, there are also many questions. Can it really liberate human productivity? Or is it just an assistant to the advanced version? Specific to the construction of smart courts, is there any risk in this kind of generative artificial intelligence? Can it help judges effectively? Can it seamlessly join the existing smart court construction? The author believes that there is no doubt that it can bring new changes to the construction of smart courts and show great application potential. Although there are many problems at this stage, it does not hinder its application in courts, which is also the significance of writing this article. Llm-type generative artificial intelligence is a new direction for artificial intelligence, and it is also a booster for the construction of smart courts. Perhaps llm-type generative artificial intelligence will open the era of real artificial intelligence judicial application.

First, the necessity of llm-type generative artificial intelligence in smart courts.

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Definition of llm-type generative artificial intelligence

The specific application of generative artificial intelligence in smart courts is mainly llm-type generative artificial intelligence. The definition of llm-type generative artificial intelligence is emphasized in order to better understand the development process of this kind of artificial intelligence, so that it can be used better and clarify why llm-type generative artificial intelligence works. It is not difficult to find that chatgpt is very mature in many scenarios, such as article revision or translation, so only by understanding its definition can it be better used, instead of treating llm-type generative artificial intelligence like whispers. Although chatgpt is a technology to realize the large-scale language model of llm, llm was not widely discussed and used as an independent concept before chatgpt appeared, and then I will take chatgpt as an example, but it is only a concrete application of llm-type generative artificial intelligence after all, and it cannot be referred to as llm-type generative artificial intelligence by chatgpt alone.

The simple explanation of llm-type generative artificial intelligence is that it generates text, pictures and other contents based on llm model. The key is llm model, that is, large-scale language model, which refers to a language model with tens of millions of levels of parameters, which are trained on a large number of text data. The basic theory of llm model lies in natural language processing (nlp). The development stage of nlp is as follows: first, in the rule stage, people first acquire knowledge from data, sum up rules, write them out and teach them to machines, and then machines execute the rules to complete specific tasks. Then there is the statistical machine learning stage, in which knowledge is relayed by people and automatically learned from data by machines. Then there is the deep learning stage, in which the amount of labeled data is increased to tens of millions, and the typical pre-training stage is technology stack including transformer. Finally, at the stage of large-scale language model, it broke out from the end of 2022, with the aim of making machines understand human commands and follow human values. It can be seen that the ai tools in the previous stage were relatively mechanical, while llm-type generative artificial intelligence is a very large language model, with a huge amount of training data and model parameters. Therefore, in fact, llm-type generative artificial intelligence is not a sudden appearance, but a gradual change.

Next, we take the most common chatgpt as an example to analyze and extract the keywords of llm-type generative artificial intelligence. The so-called gpt pre-training is a pre-training language model based on transform model, and its training logic is as follows: First, corpus preparation, collecting a large number of text corpus from the Internet. The second is to preprocess the data, process the corpus, divide them into many independent sentences or paragraphs, and divide each sentence into words. After word segmentation, each word is converted into a number to generate a number sequence, and then a digital dictionary is constructed. Chatgpt training is to use these digital sequences to simulate scene experiments with transformer model, which requires a lot of manual intervention and fine-tuning the pre-training model by supervised learning. According to the reward model, the strategy is optimized, and then the output is generated. The pre-training of chatgpt should be based on forward transfer, reverse update and gradient convergence. The pre-training model reduces the cost of obtaining a higher level of artificial intelligence.

Here we extract several important keywords, data, model, pre-training and fine-tuning. Of course, it may be questioned why the transform model of chatgpt is not a key word, because the transform model is unique to ChatGPT, and the llm-type generative artificial intelligence chatglm-6b, which is similar to Tsinghua University’s open source, is based on the general language model(glm) architecture. In similar image fine-tuning, chatgpt also has its own unique rlhf technology, which is feedback learning from human feedback technology. By constructing human feedback data sets, a reward model is trained to imitate human preferences to score results.

In data, model, pre-training and fine-tuning, data and model are easy to understand, which is the starting point of llm generative artificial intelligence. In other words, there is no pre-training and fine-tuning without data and models. The latter two are the focus of llm-type generative artificial intelligence. Although the pre-training methods of llm-type generative artificial intelligence are different, there are still two key words at its core, namely embedding and prompt. prompt is an input prompting mechanism based on natural language generation model, which can guide the generation results of the model to some extent. Through prompt, we can provide some hints, conditions or contextual information to the model in the hope that the model can produce more accurate and expected output results. Embedding is the step of llm-type generative artificial intelligence to digest prompt, which is divided into word embedding and position embedding. Through the combination of the two and the application of the model, the output content can be obtained.

And fine-tuning, it is artificial to adjust the results of pre-training in order to achieve the target effect. It is not difficult to find that the operating principle of llm-type generative artificial intelligence actually matches the legal syllogism in legal practice, in which prompt stands for legal issues, embedding stands for the process of finding legal facts and norms, and fine-tuning is the final legal application. llm-type generative artificial intelligence is almost perfectly matched with the legal syllogism of "formal rule of law". Therefore, llm-type generative artificial intelligence has applicable space, but it also brings some problems.

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Current situation of artificial intelligence application in smart courts.

Is llm-type generative artificial intelligence helpful to the construction of existing smart courts, and is it still a "science fiction imagination"? Can it still cover the construction of smart courts? The author believes that this needs to start with the current situation of the construction of smart courts in China. The construction of smart courts in China has been going on, and now it has reached the stage of smart courts 3.0. However, how to subdivide and manage the judicial application of artificial intelligence is still slightly lacking at this stage. Under the current situation, it is not conducive to the development to call all artificial intelligence applications in a unified way, so the author combines the provisions of "Artificial Intelligence Opinions" to sort out the current judicial application of artificial intelligence.

The author believes that the existing domestic judicial applications of artificial intelligence can be divided into two categories, one is non-nlp artificial intelligence, the other is bias and program application and data operation and maintenance management, and the typical examples are online litigation, electronic delivery, voice conversion and character ocr recognition. In fact, these artificial intelligence technologies are relatively mature, and the author has actually felt the convenience in practical application. For example, Internet online litigation and the construction of Internet courts, China is still at the forefront of the world, which also shows the achievements of our smart courts. There is also electronic file filing, which effectively solves a large number of transactional problems. It should be emphasized that non-nlp artificial intelligence actually does not need the intervention of llm model, and it has its own set of technologies. Although llm model can also be competent for voice conversion, character ocr recognition and translation, its effect is not much different from that of the existing technology. If llm-type generative artificial intelligence is forcibly promoted, it may be counterproductive. The other is nlp artificial intelligence. According to the nlp development stage mentioned above, the nlp artificial intelligence of the smart court is only a rule stage and a statistical machine learning stage, so the actual effect is not ideal. Nlp artificial intelligence is commonly used in smart courts, such as document assistant system, litigation navigation, legal retrieval and so on.

At this stage, an important problem in smart courts is the backward model. As far as document assistance is concerned, at present, at most, format typesetting is relatively smooth, and intelligent document generation is almost impossible, including simple procedural documents. Although there are templates, they still rely mainly on manual filling, which is not artificial intelligence at all. In addition, the practical operation of document proofreading is relatively mechanical, and even the correction effect of the same type of documents on the market can not be achieved. In terms of legal retrieval, which judges pay more attention to, it basically relies on manual input and self-retrieval, even the so-called intelligent query, it is difficult to achieve satisfactory results. Moreover, in addition to the backward model, the source of data is also very backward, completely relying on manual import of materials, and sometimes even the law can not be complete, let alone case retrieval. In fact, about the backward model and data. Professor Zuo Weimin also pointed out this problem, but it has not been solved yet. Of course, the data source of chatgpt, the representative of llm generative artificial intelligence, is also relatively small, and it will only be in 2021, but it can basically understand some legal facts, and at least play a certain auxiliary role in effect. In this case, the existing nlp artificial intelligence will only make judges feel exclusive. The so-called artificial intelligence can’t help at all, and it doesn’t relieve their work pressure. The artificial intelligence in academic discussion is more like a fable.

From the perspective of foreign countries, its development is basically consistent with that of China. There are mainly intelligent programs and case retrieval. Of course, nlp artificial intelligence has developed faster outside the country than in China. Some countries have developed legal expert systems and judicial discretion models and used them in judicial practice to provide guidance or reference for judges and prosecutors to handle cases. Among them, the well-known is the Risk Assessment Tool (compas) used by some American states. This tool has also caused extensive discussion in American academic circles. It is worth noting that some foreign judges began to try to use chatgpt to assist the referee.

It can be seen that before the outbreak of llm-type generative artificial intelligence, there were judicial applications of artificial intelligence both inside and outside the domain, but it is obvious that the judicial application effect of existing artificial intelligence is limited, and only some weak artificial intelligence can be assisted (even this is not effective compared with similar products on the market), similar to Q&A retrieval or intelligent assistance, it is almost non-existent. The emergence of llm-type generative artificial intelligence has brought a new way, which can be predicted to point out a new direction for the construction of smart courts.

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Why do you need llm-type generative artificial intelligence

First of all, the Opinions on Artificial Intelligence emphasizes that people’s courts should constantly broaden the judicial application scenarios and scope of artificial intelligence when building smart courts. Through the above introduction, llm-type generative artificial intelligence is the latest stage of artificial intelligence achievement, and it is foreseeable that it will become more powerful and more operational in the future. When emphasizing the construction of smart courts, we should not turn a blind eye to new developments. Moreover, the construction of smart courts in China is in the forefront of the world, and it is inevitable to actively give back to llm-type generative artificial intelligence. By actively applying llm-type generative artificial intelligence to improve the practical judicial application of artificial intelligence, we can also keep ourselves at the forefront of artificial intelligence.

Secondly, llm-type generative artificial intelligence can effectively improve the application of nlp artificial intelligence in the current courts. As mentioned above, the model of nlp artificial intelligence in court is relatively backward, and the actual effect is not ideal. The application of llm-type generative artificial intelligence can alleviate this phenomenon, and through iterative model, it can make further progress even in the case of insufficient data sources. This can also effectively build a smart court. In practice, compared with now, llm-type generative artificial intelligence can help judges know the case quickly and accurately, saving a lot of time and energy. It can also extract valuable information from a large number of cases, provide reference for judges’ judgments, and improve the accuracy and fairness of judgments.

Finally, the new development of llm-type generative artificial intelligence can effectively alleviate judges’ worries about artificial intelligence. Some scholars have pointed out that the development mode of artificial intelligence at this stage is in the stage of research and development, application, improvement and promotion, and the wrong understanding of artificial intelligence by judges and other judicial personnel is not conducive to improving the accuracy of handling cases by judges and other judicial personnel, and is not conducive to the development and perfection of artificial intelligence in courts and other judicial fields. Although llm-type generative artificial intelligence is not perfect at present, it has achieved some initial results, and with the promotion of the Internet, judges’ cognition of llm-type generative artificial intelligence is still unfamiliar, but it has not produced great negative emotions. Therefore, strengthening the application of llm-type generative artificial intelligence can get rid of judges’ worries about artificial intelligence and make the construction of smart courts more fruitful.

To sum up, llm-type generative artificial intelligence is almost perfectly matched with the legal syllogism of "formal rule of law", which is very suitable for the vertical application of law. At the same time, llm-type generative artificial intelligence has a strong boost to the construction of today’s smart courts, and the necessity of applying llm-type generative artificial intelligence in smart courts is self-evident.

Second, the application of llm-type generative artificial intelligence in court

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Application of existing legal llm-type generative artificial intelligence

Because there is no llm-type generative artificial intelligence in the current court application, the author will introduce the existing legal llm-type generative artificial intelligence, on the one hand, it is also an outpost for how to use llm-type generative artificial intelligence in the future smart court construction, on the other hand, it actually answers the above question about why llm-type generative artificial intelligence is needed, because the market gives the best answer.

The existing application of legal llm-type generative artificial intelligence can be divided into two types. One is to use the interface of the existing model, directly call api, and then fine-tune it yourself, such as applying langchain or supabase technology, and then deploy it locally. The existing type is the ai of Peking University Magic Weapon or the ai legal assistant. In fact, this class is not much different from chatgpt, so it is not over-described. The other is to use the open source model to pre-train, and now the common ones are powerlawglm, lawyer-llama, chatlaw and lawgpt. This kind of artificial intelligence can be regarded as legal llm-type generative artificial intelligence in the vertical field, and all of the above are reused under the open source model, and most of them are not directly commercially available but laboratory works.

Taking lawgpt as an example, the training process of lawgpt series models is divided into two stages: the first stage: expanding the legal vocabulary and pre-training the open-source models on large-scale legal documents and code data; the second stage: constructing a dialogue question-and-answer data set in the legal field, and instructing fine tuning based on the pre-training model. In fact, this is the same as the llm-type generative artificial intelligence keyword mentioned above. Its data sources are official data from China Inspection Network, China Judgment Document Network, National Judicial Examination Center of the Ministry of Justice, national laws and regulations database, legal technology competition data and legal question and answer data. Taking chatlaw as an example, its data is mainly composed of forums, news, laws, judicial interpretations, legal consultations, law examination questions and judgment documents, and then the dialogue data is constructed through cleaning and data enhancement.

It is not difficult to see that this is actually the same as the keywords mentioned above. The author introduces the application of existing legal llm-type generative artificial intelligence here. On the one hand, it plays an important role in the construction of smart courts. On the other hand, it actually introduces the operational logic of llm-type generative artificial intelligence again, which is closely related to legal syllogism and can be well applied to the vertical field of law. Similarly, after introducing the existing legal llm-type generative artificial intelligence, it seems that some problems of judicial application of artificial intelligence mentioned before have a more practical solution direction, which the author will respond to below.

The above-mentioned legal llm-type generative artificial intelligence appeared in the past six months. It can be seen that legal llm-type generative artificial intelligence is a hot direction, so the construction of smart courts also needs legal llm-type generative artificial intelligence. So how operable is it to be applied in court, and what is the direction of its future application? The answer will be given below.

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Realistic landing and future exploration of the application of smart court

As mentioned above, llm-type generative artificial intelligence is a new stage of nlp, which can effectively improve the nlp application at this stage. At the same time, for non-nlp types, it has no improvement effect, and the concept of forced nesting will only be counterproductive, and this is a manifestation of the disconnection between practice and theory. The author believes that the following scenarios can be applied to llm-type generative artificial intelligence:

Scenario 1: Legal search, assisting judges in handling cases. The author thinks that the more mature application at this stage is to consult the legal content and save the time of manual retrieval. I think this application can be realized as soon as possible. From the practical point of view, taking chatgpt as an example, it basically gives an explanation when Chinese corpus is scarce. Therefore, this application can be predicted, and the actual effect is not very bad.

Chatlaw, for example, can basically answer the corresponding law retrieval questions. Of course, the biggest problem of legal retrieval is to ensure the credibility of data. As far as the above results are concerned, although it is basically available, in practice, local regulations have not been included, which has not solved the pain points of grass-roots courts well, but compared with the current mechanical manual retrieval or big data retrieval, the effect has been remarkable. However, what is lacking now is that the retrieval of specific legal documents has not been realized, which is also the direction that llm generative artificial intelligence needs to work hard in the vertical field of law.

The further conception, that is, llm-type generative artificial intelligence guesses the judgment result, is similar to the application of the current sentencing model, which shows that the laws and regulations, judicial interpretation, judgment cases, legal facts and evidence materials involved in the case are input, and then the corresponding judgment result is obtained. This kind of application is obviously professional and complex, and it really helps judges to judge quickly and improve their legal application ability. However, the author thinks that even if it is difficult to have a model to actually operate now, it can be used as the future development direction. Of course, many scholars have already discussed the possibility of using this point in the future, and there are many problems involved, such as data security, algorithm problems and whether it can replace judges. If it is to be used in the future, these problems must be solved first.

Scenario 2: Pre-ai litigation consultation. Pre-ai litigation consultation can effectively solve the work efficiency problem of the current court filing window, prevent judges from becoming pure legal consultants, and also play a certain role in popularizing the law. The author mentioned above that there are some similar applications in the realization stage, but the effect is limited to presenting the law and telling how to sue, and the answer effect is average, just "feeding information". Through the application of llm-type generative artificial intelligence, we can effectively answer the questions of the parties, at the same time, we can evaluate the litigation according to the facts provided by the parties, provide legal knowledge and litigation risk analysis for the parties, and give appropriate solutions. The parties can get the results they want only through simple consultation, thus making the litigation convenient and efficient and effectively reducing the litigation burden of the parties. This application can be placed in the court filing window, the court WeChat WeChat official account, and 12368, which liberates a lot of labor to a certain extent and can also solve the problem of many lawsuits at present. From a practical point of view, chatgpt can initially answer questions effectively, and I think this is also a scene that can be landed in the near future.

Chatlaw, for example, can basically answer the corresponding legal consultation questions, including but not limited to legal consultation, judicial examination consultation and so on. What needs to be clear is that when the smart court is arranged, the pre-ai litigation is only a reference for the parties and cannot be used in formal procedures, otherwise the court will be held hostage by the pre-ai. Pre-ai litigation consultation is a direction in which llm-type generative artificial intelligence can be put into practice quickly. The author thinks this can be the main direction of llm-type generative artificial intelligence’s smart court experiment.

Scenario 3: Legal document assistance. Llm-type generative artificial intelligence is more realistic in the near future to strengthen the ability of document modification. Nowadays, the revision of court documents is still relatively backward, and llm-type generative artificial intelligence can effectively solve this problem. At this point, chatgpt has become the mainstream direction of text retouching and modification. Of course, the most noteworthy thing is whether llm generative artificial intelligence can directly generate documents. In my opinion, for some procedural documents, such as summary procedure decisions, or rulings with simple contents, and judgments with fixed contents similar to those in criminal cases, at this stage, llm-type generative artificial intelligence can be tried to liberate judicial staff from heavy and boring procedures and pay better attention to the trial itself. For complex documents, the author thinks that further training is needed. From the practical point of view, chatgpt can only give a very abstract framework, which has no practical significance. Of course, with the update iteration of artificial intelligence application, the maturity and accuracy of its content will be improved continuously, and it will be closer to professional judges. But there are still many doubts about whether it can replace judges.

Third, the realistic response to the application problem of llm generative artificial intelligence

Llm-type generative artificial intelligence is a new direction of artificial intelligence, and its great progress has really put some artificial intelligence problems in front of legal people, and the previous "science fiction fantasy" may be realized soon. However, as the author mentioned, the theoretical discussion on the application of artificial intelligence in the judiciary in China is perfect, such as data security and algorithms, which have been discussed in detail by scholars. Back to the title, the author emphasizes that "realistic response" is actually an analysis of the key words of llm-type generative artificial intelligence and the existing Opinions on Artificial Intelligence. Many scholars have made detailed research on some advanced theoretical problems. The emergence of llm-type generative artificial intelligence is to amplify some previously discussed problems. However, these problems cannot prevent llm-type generative artificial intelligence from being applied in the construction of intelligent courts. The author believes that the advantages of llm-type generative artificial intelligence outweigh the disadvantages as long as it is effectively restricted. Interestingly, when the author inquired about the shortcomings of chatgpt’s application in China courts, he also gave the answer: the conclusion drawn by chatgpt may be influenced by the deviation of training data, and there is a risk of misjudgment. Chatgpt can’t consider the specific details and background of the case, and sometimes it ignores important information. Chatgpt can’t completely replace human judges at present, and some judgments need human wisdom and experience.

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The data problem depends on who controls it.

First of all, all artificial intelligence can’t avoid the problem of data security. For data security, the author thinks that the court must pay more attention to data security than other industries, but llm-type generative artificial intelligence needs to deal with an extremely large amount of sensitive data, such as legal documents, cases, user information, etc., which may far exceed the current data volume. If there is not enough data security protection, it may lead to information leakage or malicious use. In fact, the principle of safety and legality is also explicitly mentioned in the Opinions on Artificial Intelligence. Therefore, for security problems, llm-type generative artificial intelligence can be used on the premise of ensuring security. But in fact, if you think about it carefully, the focus of data security is actually the protection of the parties’ information in the court trial stage, especially the file security of criminal files. Other data are actually public, and the data used by some legal llm-type generative artificial intelligence applications in the market mentioned above are also public data on the network, so there is no data security problem. The data security problem of llm-type generative artificial intelligence actually focuses on the data in the court stage, and whoever generates and manages it may be the best solution. Since you are so worried about data security, it may be the best way not to outsource, and court management of data can also effectively solve another problem of data, that is, whether the data itself is correct. If it is wrong data input, it will be wrong data anyway. Moreover, it is undeniable that other technology companies are more or less lacking in data, no matter who has the most comprehensive judicial data,That must belong to the court itself. In addition, there is a basic problem of data problem, which is the choice of model. Moreover, whether you choose the existing model or there will be a new model in the future, you need to use external resources, which inevitably leads to security problems. The author believes that it is more appropriate to choose an open source domestic data model at this time.

The author believes that the construction of the smart court itself should be led by the court, and other technical support needs to be guided by the court, so that it can not only solve the data problem, but also lead the next practical application. Moreover, many of the existing legal llm-type generative artificial intelligence applications introduced by the author above are projects carried out by university laboratories. There is no need to have a fear of difficulties for all artificial intelligence applications, and the profession belongs to the profession, but it does not mean that it is completely abandoned.

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The algorithm problem depends on how to use it.

As for the algorithm of artificial intelligence, as the author mentioned many times above, many scholars have discussed it. The common problems are algorithm discrimination and algorithm black box.

Just like the court-dominated model mentioned by the author in the last paragraph, if the court dominates the application of llm-type generative artificial intelligence, then the problem of algorithm discrimination and algorithm black box can be effectively controlled, and the court’s active participation in the formulation of the algorithm can eliminate the unfavorable factors of the algorithm.

In fact, the author has introduced some operational diagrams of llm-type generative artificial intelligence applications above. It is not difficult to see that the principle of the pre-training stage is not complicated, especially when the model is open source, and there is no so-called algorithm black box problem. In terms of embedding technology, it is actually the splitting and integration of data. If it is open source, it can actually predict the input results. This is also in line with the provisions on transparency in the Opinions on Artificial Intelligence.

At present, the algorithm problem of llm generative artificial intelligence focuses on the fine-tuning stage, so this stage depends entirely on human participation, and if someone participates, there will be the above-mentioned algorithm discrimination and algorithm black box problem. The author thinks that the more appropriate solution is that the court dominates the algorithm process and allocates relevant personnel to participate in the algorithm calculation process.

In fact, under the premise that the principle of auxiliary trial has been clearly defined in the Opinions on Artificial Intelligence, the algorithm problem in the trial process is actually a pseudo-problem, because the final decision-maker is in the hands of the judge, and the discrimination and black box problem of the algorithm will actually return to the professional ethics of the judge, so it is difficult to call it an algorithm problem. Because the "robot judge" can no longer exist, there is no risk in the application of artificial intelligence as long as the principle is adhered to under the premise that the Supreme Court has determined the principle. However, the author mentioned a problem in the previous article, that is, when doing pre-ai consultation, the algorithm problem will be more prominent. On the one hand, it can be effectively handled through the above means. On the other hand, through the open source data model, ensuring predictability can also alleviate the risk of pre-ai consultation and truly let legal consultation enter ordinary people.

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Fairness and justice are the bottom line.

Fairness and justice are the bottom line of justice. Under the premise that the principle of auxiliary trial has been clearly defined in the Opinions on Artificial Intelligence, how to ensure fairness and justice through llm-type generative artificial intelligence is the most critical direction.

Looking back to now, the focus of this paper is on the application of the court, and it is true that llm-type generative artificial intelligence can effectively promote the construction of smart courts, but the question is how to choose other litigants when the court uses these advanced artificial intelligence. According to the author’s previous statement, there have been many legal llm-type generative artificial intelligence on the market, and litigants can choose. However, the reality is that the data source of the court is the most comprehensive, and other market-oriented models certainly can’t reach this level. At the same time, since it is market-oriented, not all participants in the proceedings may have the money to buy it, let alone the defendants in criminal proceedings. Scholars in Europe and the United States have also pointed out that this obviously violates the principle of "equality of arms". This is a real problem, which violates the principle of fairness and justice. One method is the open source model, which can be used by all litigants. This can really solve the problem, but the problem is that opening all materials will only make the court lose control of llm-type generative artificial intelligence. When litigants take the results generated by artificial intelligence to defend, the court is obviously in a passive position. Moreover, under the premise of clarifying the principle of auxiliary trial, it is actually to avoid the defects of llm-type generative artificial intelligence. If it is used open source, it will only expose the defects again.

Therefore, the author thinks that the best way to solve the problem is to let the judge clearly use the scenes and results of llm-type generative artificial intelligence, that is, the use of this process needs to be displayed to the outside world. Above, the author mentioned some recent applications of llm-type generative artificial intelligence abroad, and these judges made it clear that they were only auxiliary. Even if they were not separately stated in the judgment, they would clearly indicate that they would inform the parties that they had used llm-type generative artificial intelligence. The author believes that if llm-type generative artificial intelligence is used in court on a large scale, the presiding judge should inform all parties that he may use llm-type generative artificial intelligence to assist in judgment. What I emphasize here is this kind of auxiliary judgment, not looking up information. If we just look up information, we don’t need to explain the participants in the lawsuit. And if the judge makes some auxiliary judgments through llm-type generative artificial intelligence, and the judge in charge adopts this auxiliary judgment result. The author thinks that the judge in charge should show in the judgment why he used llm-type generative artificial intelligence to provide trial-assisted results, and should not neglect judicial justice because of the application of artificial intelligence. In addition, for litigants, they can also apply to the court to use llm-type generative artificial intelligence. Generally speaking, the application of llm generative artificial intelligence in court trial practice needs to adhere to the principle of openness in the whole process. Only in this way can people’s doubts about llm generative artificial intelligence be eliminated and justice be more fair and just.

tag

With the development of Smart Court 4.0, artificial intelligence will fully empower all business links of the court. At present, some applications of artificial intelligence technology are just the tip of the iceberg. With the development of llm-type generative artificial intelligence, more and more mature artificial intelligence products will serve the court, comprehensively deepen the construction of smart courts, improve the efficiency of judicial trials, and achieve a higher level of digital justice.

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Official website, Shanghai Law Society

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Shangguan author: Shanghai Law Society

Special feature of 1905 film network After waiting for 7 years, I finally met the audience.From the official announcement of this project, from the pre-announcement to the information revealed from time to time, it is enough to witness the trader behind the film — —Louis Koo; Tin LokThe heart.

As we all know, this is his long-planned ambition.In 2015, the official announcement of the project cost 450 million Hong Kong dollars, of which the light special effects took five years.

Why did the special effects take so long?Because Louis Koo insisted on using the China team to create the whole film, starting from scratch, as he said, "If you use a foreign team, it will be easy to do it, because you can’t learn anything. If you shoot again, you will let others help you, and you will never learn."

In fact, as early as 2009, when Louis Koo was promoting, he said more than once, "In the future, I want to make a science fiction film that belongs to Asia."

But if we want to trace back to the singularity of this idea, it may take longer, but it may be a glimmer in Louis Koo’s heart at that time, or a "force" that has not yet been excavated.

01. singularity

Today’s Louis Koo, in the eyes of the outside world, has many labels — — The "Gu Principal" who has devoted himself to charity, as the dual "Gu President" of the Hong Kong Film Workers’ Federation and the President of the Hong Kong Artists Association, has always maintained the "Gu Model" of film creation and the "Gu Boss" of many film and television companies.

But before 2009, for many viewers, he was a childhood male god, an actor with acting skills, and there were no other more identity labels.

Around the Millennium, Louis Koo, who won many awards on the small screen, turned to the big screen completely.Although in many urban light comedies, he can be seen as the leading actor, handsome appearance, and this kind of film has a high degree of adaptability, but in more A-class movies, he mostly appears as a supporting role.

It was not until 2007 that he was nominated for the first film award. Even the director bluntly said, "Gu Zi started to really put aside his idol burden from this movie. Later, there was no shackles at all, so the opportunities became a lot. "

With more and more opportunities, more aspects of Louis Koo were gradually revealed. In 2008, he published the book Toy Wars.

Just like what has been told repeatedly, Louis Koo is a sci-fi fan, and he has been obsessed with the "Dark Knight" in movies since he was a child.

It was the first sci-fi movie his parents took him to see, and he was quickly attracted by the mysterious Darth Vader wearing a black helmet. Perhaps there, it became the beginning of his sci-fi movie dream.

Boys always like to play with all kinds of remote-controlled cars and model cars when they are young. If possible, they must want to collect all of them.

The same is true of Louis Koo. The ancient mother once said that he likes to assemble the model car little by little and put it neatly at home, "and then show a satisfied look".Maybe I really answered the sentence, "A man is a teenager until he dies".

In 2003, Louis Koo went to Cannes International Film Festival with the crew, passing by a toy store, and saw a 1:1 half-length Darth Vader model with his mask off. He wanted it very much, but the shopkeeper was reluctant to give up at first.

Unexpectedly, Louis Koo, in order to show his sincerity, bought other models in the shop in one gulp, only with the owner’s consent, bought the Darth Vader.

At this point, he started the journey of collecting models crazily. As the screenwriter described it, "the degree of investment can be said to be’ plunged into it’".

When he bought more and more models, he directly bought a warehouse to store them. He once compared the recording site of a program, "almost, even bigger", and the recording site covers an area of about 1200 square meters.

Since then, it seems that he has added a label, a teenager who loves to play with hand-made toys.However, there is always a barrier to the behavior of collecting this second element by hand. Some media have asked him if he has time to play with his hand in the near future. As a result, he looked wooden. "Huh? I’m not 3 years old, and I still play with my hand? They are just collections. "

It is true that all his collections are aimed at understanding how these foreign model mechs are designed. "I never liked to play with those toys. They are as tall as us. What’s so interesting about them? I bought them for research. In the future, I hope I can make a science fiction film, which we have never had in Asia, but I think it will take a long time to study."

In the program at that time, the host didn’t understand him and asked, "Is it seven?" At that time, it was just released for one year, and it was already the science fiction movie closest to the audience.

Obviously, the sci-fi movie that Louis Koo wants to shoot is obviously not the kind of parent-child comedy, but he doesn’t avoid it either. It is really after watching Changjiang No.7 that he has strengthened his confidence in shooting sci-fi movies.

02. The best in the world

Louis Koo had a plan in mind after he firmly established the idea of sci-fi movies. It would take about eight years to realize it, and the biggest problems he encountered were high investment and special effects.

He has looked for many film and television companies for this, and he has touched the wall and has been affirmed. In any case, he is laying the foundation for realizing this idea.

For a long time in the past, the film density in Louis Koo was extremely high, but the word-of-mouth was mixed. To put it mildly, a model worker; What is not pleasant to say is "the king of bad movies".

It’s not that no one around him has advised him to spend more time choosing scripts. His answer is always, "I want to film, and many people need me."

I can’t be idle, and I can’t be idle.Over time, this artist who doesn’t want to rest has become an invisible rich man in the entertainment circle. In 2013, he set up his own film and television company, which is a "one in the world" company integrating film creation and distribution, post-production, artist brokerage and equipment leasing.

The biggest reason for setting up this company is for Tomorrow’s Battle.

Through "Best in the World", Louis Koo has successively acquired a number of post-production companies specializing in post-production and digital special effects, including FATface production, the most important post-production company of Battle of Tomorrow.

Tung shing Yee lamented more than once that Louis Koo is one of the "pillars" of the Hong Kong film industry. "He makes money and puts it in movies. Movies are very expensive, so he actually invests fully in the bank. "

Finally, in 2015, Louis Koo announced with great confidence that The Battle of Tomorrow was launched.

The director is a newcomer, but his other identity is the boss of FATface production, and he has participated in the visual effects production of many films such as Painted Skin.

Louis Koo also looked for other directors, but everyone felt that they had never made such a film and didn’t know how to make it. "I need someone who is very familiar with special effects to cooperate." Moreover, his idea is very simple. The film should be made by his own local team, not by a foreign team, and everything should be done by himself.The words are simple, but the challenges are great.

The special effects team can’t be quick in one day, but can only accumulate experience from different projects as if it were an upgrade. For a long time, many China films, especially those made in Hong Kong, can see the shadow of "the best in the world" at the end of the film.

And the most important part of the mecha design, Louis Koo invited Mike Nash, a "god-class" designer in the game industry, to make it. Almost every step is the top presentation.

Just like his Toy Wars, many book fans read it and thought it was an ordinary photo, but they didn’t expect to interpret each model in great detail.

This kind of understanding is more thorough in "Tomorrow’s War". Even Yuen Fai Ng, the director who is also a sci-fi fan, is ashamed. "It is difficult to find an actor who knows so much about science fiction. To some extent, he is a consultant."

In the end, "Battle of Tomorrow" used more than 1,700 special effects shots, accounting for 90% of the whole film, and the difficulty of making special effects in the later period can be imagined.

There is a line in the film, "We decide what the ending is", which may also be Louis Koo’s footnote in "Tomorrow’s War".

As for what will follow?He also wants to shoot more sci-fi movies made by China’s team.

Not long ago, he just officially announced another sci-fi movie "Ladder". "Because of the first time, it will be easier to do it next time. That is a brand-new space story. The shooting is ten times more complicated than this one. It will build a 360-degree large LED and create an IMAX effect. "

03. Beyond the story

The War of Tomorrow seems to be more like the other side of Louis Koo’s "model worker", which is divorced from rapid creation and realizes its value more delicately.It seems to be to realize my childhood dream, and more to improve the development of the entire film industry.

Just like the "best in the world" behind it, in the stage of rapid input and output, the more purpose is to cultivate the new generation of local film talents and break the negative barriers of the Hong Kong film industry.

All this is very much like Louis Koo himself. If you don’t promote the film, you will hardly come out for an interview. Even if you are interviewed, all the content revolves around the work itself, and there is no more information to disclose.

If it weren’t for Tung shing Yee’s exposure in Weibo in 2014, the outside world would never know. After the Wenchuan earthquake in 2008, Louis Koo successively invested 10 million yuan to establish primary schools, many health centers and water wells in Guangxi, Guizhou and Yunnan.If asked by the media, he would only say, "I don’t want to talk more."

It is true that as early as the publication of Toy Wars, he had already explained that all the proceeds would be donated to UNICEF after deducting expenses, so that he could do good deeds while realizing his dreams.

Not only that, one of the toys in his collection came from an online auction. The other daughter was seriously ill and eager to raise money. Without saying anything, Louis Koo immediately photographed the toy. "It’s not just a collection, but the meaning behind it is more important."

All kinds of behaviors are mostly related to his young past experiences, but the past is no longer important, but now he is showing the brighter side of life in an extremely low-key way.

Someone once described him as a plain Louis Koo.He said, yes, "I really feel ordinary."Just, now, it seems, is ambitious.

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　　Overseas networkDecember 11th.Following last week’s exposure that he had kissed the American hostess in the elevator, the US media revealed President Trump’s special hobby last Saturday (9th), saying that he spent 8 hours watching TV programs every day, and in addition, he had to drink 12 cans of Coke every day.

　　Recently, The New York Times visited 60 Trump aides, colleagues, friends and members of Congress, and found that the 71-year-old Trump is keen on watching TV besides social networks. At most, he spends 8 hours watching TV programs every day. The most shocking thing is that he drinks 12 cans of Diet Coke every day.

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　　According to relevant sources, Trump only sleeps for 5 to 6 hours every day. After getting up at 5: 30 in the morning, he will watch TV in the bedroom of the White House. He will spend at least 4 hours watching the news every day and occasionally watch 8 hours. CNN, Fox News and MSNBC are all on the list. Although CNN has been reprimanded by Trump for broadcasting "fake news" several times, he still watches it. According to informed sources, sometimes Trump will fly into a rage all day after watching the news, and then he will bombard the media that angered him on Twitter.

　　(Source: Daily Mail)

　　It is reported that Trump is still a crazy cola fan. He often drinks 12 cans of diet coke a day, and his daily caffeine intake far exceeds the recommended value of doctors.

　　The report pointed out that "Trump is redefining ‘ since he took office for more than a year; President ’ The meaning, and Twitter is a sword in its administration. " Since Trump was elected president of the United States in 2016, his Twitter account has been highly concerned, and the current number of fans is 44.02 million. Trump updated tweets frequently, which earned him the title of "Twitter governing the country". Its tweet style is famous for its "gunfire" style. In addition to expressing dissatisfaction and speaking freely through Twitter, it often makes its views public through tweets. According to the latest annual statistical report released by Twitter, the person who was most discussed on Twitter in 2017 was the current US President Trump. (Compile/Overseas Network Sharla Cheung)

　　　　　　 CCTV News:The relevant person in charge of the Consumption Promotion Department of the Ministry of Commerce said yesterday (September 17) that in August, with the situation of epidemic prevention and control in China continuing to improve, social production and living order generally returned to normal. The vitality of various market players has been continuously enhanced, and measures to promote consumption policies have continued to exert their strength. The consumer goods market has achieved positive growth for the first time this year.

　　　　　　 In August, the growth rate of commodity sales accelerated. The consumption of upgraded goods such as communication equipment, cosmetics, gold and silver jewelry and automobiles increased rapidly; The consumption of basic commodities such as beverages and daily necessities has maintained an increasing trend.

　　　　　　 Service consumption continued to recover. In August, catering revenue was 361.9 billion yuan, down 7.0% year-on-year, and the decline rate was 4 percentage points narrower than that of last month. The market activity of service industries such as accommodation, culture and entertainment has improved, and the business activity index is higher than 57.0%, which is higher than that of last month. The business volume of national express service enterprises reached 7.24 billion pieces, up 36.5% year-on-year.

　　　　　　 Urban and rural consumption has turned positive simultaneously. In August, the total retail sales of urban consumer goods was 2.9 trillion yuan, a year-on-year increase of 0.5%; The retail sales of rural consumer goods reached 429.8 billion yuan, up 0.7% year-on-year.

　　　　　　 Internet consumption is growing at a high speed. From January to August, the national online retail sales reached 7.0 trillion, up 9.5% year-on-year. The relevant person in charge of the Consumption Promotion Department of the Ministry of Commerce said that at present, China’s epidemic prevention and control has achieved significant strategic results, and the consumer market has entered the "Golden September and Silver 10" consumption peak season. With the in-depth organization and implementation of a series of consumption promotion activities and measures, market popularity has steadily rebounded, business order has been fully restored, consumption potential has been continuously replenished and released, and consumption recovery momentum has been further consolidated.