With the appearance of ChatGPT, the world has entered the era of artificial intelligence.

Nowadays, the world is in the era of great acceleration of artificial intelligence, and various fields are constantly exploring and applying artificial intelligence technology, which also promotes the accelerated development of artificial intelligence. The following are some factors that accelerate the development of artificial intelligence:
  1. Explosive growth of data: With the development of the Internet, the cost of data generation and storage is getting lower and lower. At the same time, the popularity of various sensors, devices, Internet of Things and other technologies also makes a lot of data collected and stored, which provides more data bases for the training and application of artificial intelligence technology.

  2. Progress of hardware technology: With the development of computer hardware, especially the emergence of accelerators such as GPU and TPU, the training speed and effect of artificial intelligence have been greatly improved.

  3. Continuous optimization of algorithms: In the fields of deep learning and reinforcement learning, researchers constantly put forward new algorithms and optimization methods, making the application effect of artificial intelligence more outstanding.

  4. A large influx of investment: Artificial intelligence technology has broad application prospects, attracting a large number of investors and capital influx, which provides more financial support for the research and application of artificial intelligence.

With the continuous development and application of artificial intelligence technology, its influence will be more and more profound, changing our way of life and work.

ChatGPT, as a large-scale language model, represents the latest progress in natural language processing in the field of artificial intelligence. It is obtained through deep learning algorithm and a large number of corpus training, and can automatically answer users’ questions, generate articles, translate languages and other tasks.

The appearance of ChatGPT indicates that the field of artificial intelligence has entered a new era, that is, the era of large-scale pre-training model. Prior to this, the research in the field of natural language processing mainly relied on manually labeled data sets, and this method often required a lot of manpower, time and money. Now, using the large-scale pre-training model, we can automatically learn the laws of natural language through a large-scale corpus without manual annotation, which greatly improves the efficiency and accuracy.

In addition to the field of natural language processing, the large-scale pre-training model also shows great capabilities in computer vision, speech recognition, recommendation system and other fields. They can not only greatly improve the accuracy of the model, but also provide more possibilities for the application of artificial intelligence.

  1. Language understanding and generation: ChatGPT can be used to understand and generate languages, including natural language processing, text summarization, machine translation, question and answer system and so on.

  2. Personalized recommendation: ChatGPT can provide personalized product or service recommendations by analyzing users’ historical behaviors and preferences.

  3. Automated customer service: ChatGPT can be used to build an automated customer service system to provide customers with 24-hour uninterrupted support and service.

  4. Intelligent writing: ChatGPT can help people to quickly generate various texts, including press releases, advertising copy, product descriptions, articles and so on.

  5. Sentiment analysis: ChatGPT can identify and analyze people’s emotions, thus helping enterprises to understand users’ emotional tendencies and attitudes, so as to better improve the user experience.

  6. Self-driving: ChatGPT can help self-driving cars understand and respond to road conditions, traffic signs and other vehicle behaviors.

  7. Financial field: ChatGPT can be used for tasks in financial field such as risk assessment, anti-fraud and credit evaluation.

  8. Medical field: ChatGPT can be used for medical image analysis, medical record, drug research and development and other tasks in the medical field.

The application field of ChatGPT is constantly expanding and deepening, and many new application scenarios will emerge in the future.
Therefore, the appearance of ChatGPT marks the arrival of the era of great acceleration in the field of artificial intelligence. It is expected that in the next few years, the large-scale pre-training model will be widely used and popularized in various application scenarios.

What is the Industrial Internet of Things (IIoT)?

Industrial Internet of Things (IIoT) is defined as a set of devices and applications that allow large enterprises to create an end-to-end connection environment from the core to the edge. It also includes traditional physical infrastructure, such as containers and logistics trucks, to collect data, react to events and make more informed decisions with the help of smart devices.

The Industrial Internet of Things (IIoT) is an extension of the Internet of Things (IoT) and has many applications in the consumer field. IoT use cases include, for example, smart home devices such as Amazon Echo, which use Alexa voice recognition function to remotely turn off the lights.

In industrial operation, this technology has been widely used in business in the environment with complex infrastructure and large equipment. In contrast, the industrial Internet of Things can remotely manage the heating, ventilation and air conditioning (HVAC) system of the whole factory. This is just an industrial Internet of Things use case that simplifies and improves enterprise operation and management.

How does the Industrial Internet of Things work?

Industrial Internet of Things is a subclass of Internet of Things, and enterprises are redefining how to connect, monitor, analyze and take action on industrial data to reduce costs and promote growth.

The idea behind the industrial Internet of Things is to use the data generated by "dumb devices" in industrial facilities for many years. Intelligent machines on the assembly line can not only capture and analyze data faster, but also exchange important information faster, which helps to make business decisions faster and more accurately.

The integration of information technology (IT) and operation technology (OT) promotes the development of industrial Internet of Things. It is a network matrix connecting devices, which collects and analyzes data through sensor technology and integrates it directly into the platform as a service. Industrial Internet of Things will herald a new era of industrial use cases, and there are many opportunities for economic expansion.

Industrial Internet of Things collects a large number of field data from factory workshops, transmits them through connecting nodes, analyzes them on the server, and transforms the information into operational opinions on the cloud platform. This encourages enterprises to make better decisions for their specific markets and target audiences. In other words, the industrial Internet of Things is a system that connects edge devices such as actuators, sensors, controllers, connection switches, gateways and industrial personal computers (IPC) to the cloud.

What is the connection between Industry 4.0 and Industrial Internet of Things?

Industry 4.0 is the product of the fourth industrial revolution. The definition of the fourth industrial revolution is the integration of traditional automated manufacturing and industrial processes driven by intelligent technology and autonomous communication equipment.

The word "Industry 4.0", abbreviated as I4.0 or I4, appeared in 2011, which is an initiative of the German government to vigorously advocate the digitalization of industrial processes in the past 20 years.

As mentioned by the Boston Consulting Group, the industrial Internet of Things is the main pillar of Industry 4.0, in addition to additive manufacturing or 3D printing, augmented reality (AR), autonomous robots, big data analysis, cloud computing, network security, horizontal and vertical system integration and simulation. This is because the autonomous communication between machines and the decentralized digital environment can automatically solve the problems that needed manual intervention before.

Industry 4.0 covers the industrial Internet of Things, digitalization and sustainable development of enterprises in a wider scope. Industrial Internet of Things is the driving force behind Industry 4.0, without which there would be no Industry 4.0. In other words, the industrial Internet of Things is limited to data detection, data transmission, data calculation, data processing and intelligent applications in specific fields.

Architecture of Industrial Internet of Things

The typical industrial Internet of Things architecture describes the arrangement of digital systems, so that they can jointly provide the network and data connection between sensors, Internet of Things devices, data storage and other layers. Therefore, the industrial Internet of Things architecture must have the following points:

1. Internet of Things devices at the edge of the network

These are groupings of network objects located at the edge of the Internet of Things ecosystem. These locations are as close as possible to the location of the data source. These are usually wireless actuators and sensors in industrial environments. A processing unit or small computing device and a set of observation endpoints. Edge IOT devices may include traditional devices, cameras, speakers, sensors and other instruments and monitors in brown land environment.

What happens at the most remote edge of the network? Sensors get data from the surrounding environment and the items they monitor, and then convert the information into indicators and figures that can be analyzed by the Internet of Things platform, and turn them into operational insights. Actuators control the processes that occur in the observed environment. They change the physical environment in which data is generated.

2. Edge data management and initial processing

Without high-quality and massive data, complex analysis and artificial intelligence cannot give full play to their potential. Even at the sensor level, data processing can be performed.

In this respect, edge computing provides the fastest answer, because the data is preprocessed at the edge of the network and in the sensor itself. Here, numerical and aggregated data can be analyzed. Once the relevant insights are collected, you can move on to the next stage instead of sending all the collected information. This extra processing reduces the amount of data sent to the data center or cloud.

3. Cloud for advanced processing

The preprocessing ability of edge devices is limited. Although it has been as close to the edge as possible to limit the consumption of local computing power, users will need to use the cloud for deeper and thorough processing.

At this time, we must choose whether to give priority to the agility and immediacy of edge devices or to the advanced insights of cloud computing. Cloud-based solutions can perform a lot of processing. Here, you can aggregate data from different sources and provide insights that are not available at the edge.

In the context of industrial Internet of Things architecture, the cloud will have:

concentratorIn addition to telemetry and equipment control, it also provides a safe link with the field system. If necessary, hubs can provide remote connections to local systems across multiple locations. It maintains all communication elements, such as connection management, secure communication channels, and device authentication and authorization.

save: Used to store information before and after processing.

analyse: It is helpful for data processing and analysis.

User interface:It provides the visualization of transmitting the analysis results to the end users, usually through the Web browser interface, but also through e-mail, SMS and telephone reminders.

4. Internet Gateway

Here, sensor data are collected and converted into digital channels for further processing at the Internet gateway. After obtaining the aggregated and digitized data, the gateway transmits it through the Internet so that it can be further processed before uploading it to the cloud. The gateway is still a part of the edge data collection system. It is adjacent to actuators and sensors, and performs preliminary data processing at the edge.

Gateways can be deployed as hardware or software:

hardware: The hardware gateway is an autonomous device. It provides wired (analog and digital) and wireless interfaces for downstream sensor connection. Internet connection is also provided, whether locally or through a standard link to a router.

software: On a PC, you can install a software gateway instead of connecting a hardware gateway. The software runs in the background or foreground, and provides upstream and downstream communication links as hardware entry points, and the PC provides physical interfaces. The software-based gateway can access the visual sensor settings and sensor data presentation through the user interface.

5. Connection agreement

Transmission of data across industrial Internet of Things systems requires protocols. These protocols should be in line with industry standards, well-defined and secure. The protocol specification can include the physical characteristics of the connection and wiring, the procedure for establishing the communication channel and the data format sent through the channel.

Some common protocols used in industrial Internet of Things architecture include:

Advanced Message Queuing Protocol (AMQP):This is a connection-guided, two-way, multiplexed and compact data coding message transmission protocol. Unlike HTTP, AMQP is built for cloud connection for IIoT.

MQ Telemetry Transmission (MQTT):This is a compact client-server message transmission protocol. MQTT is beneficial to IIoT devices because of its short message frame size and minimum code space.

Restricted application protocol (CoAP):This is a data reporting protocol that can be deployed through the transport layer, including User Datagram Protocol (UDP). CoAP is a compressed version of HTTP developed for IIoT requirements.

6. Industrial Internet of Things platform

The industrial Internet of Things system can now coordinate, monitor and control the operation of the whole value chain. These platforms control the device data, and manage the analysis, data visualization and artificial intelligence (AI) tasks of edge devices. In some cases, they can also transmit sensors directly to the cloud and back.

Industrial Internet Reference Architecture (IIRA) can be used as a reference for developing complex systems in the field of industrial Internet of Things. Generally speaking, IIRA’s framework advocates enterprises to use systematic methods to design frameworks, including feedback and iteration. In addition, the report suggests customizing the industrial Internet of Things design for specific business sectors, such as energy, health care, transportation and government use.

Advantages of Industrial Internet of Things

1. Improve efficiency

The biggest advantage of industrial Internet of Things is that it can help enterprises realize automation, thus maximizing operational efficiency. In addition, physical devices can be connected to software solutions through sensors to continuously monitor performance. This enables enterprises to better understand the operational efficiency of specific equipment and the entire fleet. In addition, the industrial Internet of Things realizes data-driven decision-making and remote monitoring of all production processes.

2. Increase production

By increasing the equipment utilization rate, organizations with IOT manufacturing processes may improve their productivity. As mentioned earlier, network devices provide continuous data flow, which can provide in-depth understanding of the operation of the devices. This can improve the overall efficiency of the equipment and maximize the performance of the machine during the running time. In addition, the use of industrial Internet of Things equipment also improves the utilization rate of human capital. Smart devices can be used to perform trivial, repetitive and dangerous activities, thus freeing employees to engage in other more strategic production-related work.

3. Reduce mistakes

The use of industrial internet of things forces enterprises to automate production operations. Eliminating human factors from industrial operation can eliminate the inefficiency that leads to defective products exiting the assembly line. With the reduction of quality defects, the profitability of enterprises will be improved due to the improvement of customer satisfaction and brand awareness.

4. Forecast maintenance requirements

Predictive maintenance is a strategy to avoid asset failure by analyzing production data to find patterns and predict upcoming problems.

The sensor of industrial Internet of Things can be integrated into industrial equipment, which can send out state-based management notice. These sensors record the temperature, humidity and other environmental variables in the work area, as well as the influence of material composition and transportation factors on transportation. All these data are useful for predictive maintenance. Therefore, asset failures can be avoided, expenses can be reduced, and machine downtime can be minimized.

5, to ensure the safety of workers

Intelligent manufacturing can achieve higher security, and all industrial IOT sensors cooperate to monitor the safety of employees and workplaces. Comprehensive safety system can protect workplace, production line and personnel. Once an accident happens, the whole facility can be notified, activities can be stopped, and senior management can mediate to solve the problem. This incident may also produce useful information, which can be used to avoid similar incidents in the future.

6, save energy costs

Industrial operation is the main source of global power supply, which is not conducive to sustainable development and the overall bottom line. Using sensors and small devices to continuously monitor the system may find inefficiencies that lead to waste. This includes not only monitoring equipment, but also comprehensive services, such as adjusting the temperature, water use, humidity and lighting of equipment. In addition, with the development of Internet of Things technology, sensors consume less energy, which is undoubtedly a boon.

7. Improve on-site service and customer experience.

Industrial Internet of Things can help improve the provision of on-site services. It is determined by time, context and technical personnel’s participation in specific service operations. The industrial Internet of Things also allows real-time data visibility. This means that original equipment manufacturers (OEMs), end consumers and any other interested parties will understand the risks and difficulties that arise, so as to gain a positive experience.

Nowadays, the industrial Internet of Things is the main product of large enterprises, and it is also one of the key products provided by major cloud providers such as Microsoft and Amazon Web Services (AWS). Industrial Internet of Things extends the capabilities of advanced data analysis and cloud to industrial applications, such as equipment maintenance, factory operation, supply chain management and personnel safety. Data from the industrial Internet of Things platform can even help to simulate and test products in a digital environment, perfectly integrate digital systems with physical systems, and improve industrial achievements exponentially.

Who will rob the young people of their jobs in Shenzhen? Western visitors’ killer application of artificial intelligence?

I only heard that Internet technology, on behalf of e-commerce capital, robbed the rice bowls of middle-aged and elderly aunts such as vegetable stall owners and physical store vendors. I didn’t hear that the rice bowls of young people who were white-collar workers were robbed.

Today, you heard it. ChatGPT founder announced that it will launch killer applications such as AI doctors and lawyers one after another.

(The picture is from the network, you can contact to delete it! )

Lawyers and doctors belong to white-collar workers, and white-collar workers are mostly young people. There are many young people in Shenzhen. Therefore, young people in Shenzhen are facing competition from new graduates and artificial intelligence!

Speaking of graduates. In 2023, the number of college graduates is expected to reach 11.58 million, 820,000 more than last year, which is estimated to be a new high. This group of college students who have experienced the epidemic for three years need a huge number of jobs if they want to find jobs.

(The picture is from the network, you can contact to delete it! )

In the past two days, the news of the above-mentioned leaders in streamlining personnel is obvious to all, and I believe everyone is deeply shocked!

This at least shows that there are not as many jobs as before!

However, the recently popular artificial intelligence ChatGPT, which can replace manpower, was born, and something that can be applied came out soon.

For example, the Buddha version of ChatGPT appeared in Japan to help people solve their problems.

(The picture is from the network, you can contact to delete it! )

And the aforementioned ChatGPT founder announced that killer applications such as AI doctors and lawyers are coming soon!

It seems that our internet high-tech is robbing the business of physical stores and vegetable vendors.

Western visitors’ artificial intelligence technology is robbing white-collar workers of their jobs.

Yes, the current situation is that there are not as many jobs as before, and the artificial intelligence of western visitors has to share a piece of cake, and the number of graduates has reached a new high.

What is the situation in Shenzhen facing the above situation? Shenzhen, with more than 17 million people, has an average age of just over 30. There are not many things, but there are many young people. Now I don’t know how many new and younger graduates will flood into Shenzhen to apply for jobs!

People who come here are from Shenzhen. Young people who come here first and then arrive in Shenzhen, you should work hard to get behave yourself. After all, the times are a little difficult and the competition is fierce.

Whether you want to be a tall and beautiful white-collar worker or a risky vendor who wants to eat a meal.

In addition to the fierce competition between people, capitalists will certainly instruct more economical artificial intelligence and high-tech to compete with you for jobs.

Especially in a science and technology city like Shenzhen, you may have to face such competition in minutes in the near future!

Whoever wins or loses in this competition depends on your strength.

Richarlyson’s offside goal was blown away! Create some assists, and Kong Di will give him 85 minutes to redeem himself!

Richarlyson’s offside goal was blown away! Create some assists, and Kong Di will give him 85 minutes to redeem himself!

Kong Di personally exposed Richarlyson’s evaluation of his own season, and it seems that he didn’t treat Richarlyson as an outsider!

After that, Kong Di also gave Richarlyson a chance to play, so that this vicious person who has confessed his bad state can find a chance!

In the third minute, Richarlyson scored a long pass from Skip!

Richarlyson, who had been depressed for a long time, did not celebrate passionately after making a gesture of shutting up. He vaguely felt that there might be offside!

Teammates don’t care about that. They rushed around Richarlyson and started cheering. Let me touch your lovely hedgehog head!

As a result, the right shoulder is offside!

Poor Brazilian!

After that, Richarlyson made a penalty for Kane and assisted Sun Xingyi to score!

Richarlyson’s performance, worthy of the No.9 jersey, has not scored in the Premier League since he moved to Tottenham, which is unfair to Brazilians! If Kane gives him a penalty, the Brazilian will definitely appreciate the captain’s favor!

Unfortunately, Kane himself is struggling to accumulate the number of goals in the scorer’s list! No, Harland has scored 28 goals.

Richarlyson still made captain Kane score!

Adult beauty, this story can give today’s Richarlyson, of course, Kane also accepted Richarlyson’s kindness. His goal count has reached 20!

"A gentleman’s adult beauty is not an adult’s evil. The villain is the opposite. " From The Analects of Confucius.

On one occasion, Zhang, a student of Confucius, asked Confucius how to enter politics. Confucius replied: to do a thing to the end, there must be no boredom; Do what you say. He added: "As a gentleman, he always helps others to do good things, instead of urging others to do bad things successfully. Little people, on the contrary, good things don’t help. Give a hand to the bad things.

Xu Deyan, the son of Prince Chen in the Southern Dynasties, and his wife, Princess Lechang, were afraid that their country would break, so they could not keep each other together. Because they broke a bronze mirror, they held each other’s hands and sold it in the city around the first month of the next year, hoping to meet each other. After Chen’s death, the princess disappeared into Yang Su’s house. De Yan arrived in Beijing on schedule, and saw a pale head selling half a mirror, which was half consistent. Deyan inscribed a poem: "The mirror goes with people, and the mirror returns to people; There is no shadow of the moon, and the moon is bright. " The princess won the poem, but she wept and didn’t eat. Know it, that is, call for moral words, return it to the princess, and return to Jiangnan to die.

Later generations have the story of "second time around", which is so poignant to the depths of human nature that tears wet clothes. If there is an opportunity to be an adult, try to do good deeds!

Perhaps Kane, after reading this, will secretly make up his mind to give Richarlyson a penalty in the next Premier League game.

Kong Di gave Richarlyson an 85-minute chance to play. There should be no problem in the rotation of Kurusevsky and Richarlyson and playing in the Premier League. The cup is over. Grasp the single-line battle in the Premier League. Kong Di’s strength is single-line combat.

AI Future Progressive: Competition and cooperation between human beings and AI in the next 20 years

Perhaps it is not difficult to imagine that in the future, most of the hard and repetitive work will be done by machines, and human beings will have more freedom to do what they want.

Kai-Fu Lee and Chen Qiufan looked forward to the influence of artificial intelligence on all aspects of life 20 years later in AI Future Progressive.

First, the degree of intelligence of various industries in the future

Medicine: AI has insight into all the subtle problems of your body, arranges a healthy diet for you, and automatically helps you call the police in case of emergency.

Education: Every child has an AI to accompany him to grow up, understand all his study habits, give him advice, win various competitions, record his growth, and help him become a leader in that field.

Autopilot: Infrastructure and driving lanes operate separately. In addition to extreme situations that require the participation of human drivers, self-driving cars are people’s main travel tools. We don’t even have to buy a car, saving more family expenses and contributing to environmental protection.

Entertainment: We can meet idols in virtual games, make friends with idols, and sometimes we can’t even tell the difference between virtual and reality.

Energy: The renewable energy effectively combined with "solar energy+wind energy+battery technology" makes our planet cleaner and more environmentally friendly.

Second, the machine is difficult to replace and surpass human beings.

Even if AI develops for 20 years, it is difficult to surpass human beings in the following three aspects.

First: creativity, common sense and strategic thinking. "AI does not have the ability to create, conceive and plan strategically."

Second: emotion or empathy. AI has no real feelings, does not understand the happiness and pain of human beings, and it is even more difficult to enlighten people’s hearts.

Third: "Flexibility. AI and robotics can’t do some precise and complicated physical work, such as dexterous hand-eye cooperation. " AI can’t detect many potential threats and can’t accomplish many things that require human judgment.

For jobs that require high creativity and social skills, it is difficult for AI to replace humans.

In labor-oriented jobs, it is difficult for AI to replace strong social and flexible jobs such as nursing home, dog trainer, sports rehabilitation teacher and hair stylist, while high mechanical and weak social jobs such as security guards, dishwashers and warehouse pickers are easily replaced.

In intelligent jobs, it is difficult for entrepreneurs, career planners and other strong social and high-decision jobs to be replaced by machines, and optimized jobs such as telemarketing, loan officers and radiologists are easily replaced by machines.

Third, the meaning of life: how can people be human?

Perhaps, in the future, we will no longer pursue money as the most important goal, but take social contribution as a yardstick to measure the value of life.

Every revolution will bring about great changes in life, and so will the information revolution. The development of AI will indeed make many occupations disappear, but at the same time it will also give birth to more occupations.

AI does not exist as an enemy of human beings, but should be a useful tool for human beings to reshape themselves and realize their personal values.

In the face of a powerful AI, if we are lazy, only interested in pleasure, and leave all our lives to the control of machines, then the development of human civilization will also stagnate.

Grateful to AI for liberating us from repetitive labor, remember the author’s message to us in "AI Future Progressive": "If we cherish the unique qualities that human beings are born with, such as free will, love and being loved-these are exactly what AI can’t have. If we choose to believe that the harmonious symbiosis between human beings and AI will produce an effect of 1+1 far greater than 2, and make efforts for it, then the best combination of human beings and AI will bravely step forward together in the future.

I hope that with the help of AI, we can be more diligent and diligent, explore the eternal truth of life and get real happiness.

The bank exploded, and the United States is going to have another financial tsunami?

Image source @ vision china

A brief introduction to Chinese businessmen

On March 11, 2023, the Silicon Valley Bank of the United States, which managed $175.4 billion in deposits, collapsed.

Founded in 1983, it is the 16th largest bank in the United States and one of the largest banks in Silicon Valley. By the end of 2022, the total assets under management of Silicon Valley banks reached 212 billion US dollars.

This is the biggest bankruptcy case of American financial industry since the subprime mortgage crisis in 2008.

01 trillion banks, can’t hold on.

On March 9, Silicon Valley Bank released a bad news:

The bank lost $1.8 billion because it sold $21 billion of securities in its portfolio. In order to avoid the liquidity crisis, the bank decided to sell common shares and preferred shares to raise $2.25 billion.

This bad news caused the share price of Silicon Valley Bank to plummet by more than 60% in a single day, and its market value evaporated by 9.4 billion US dollars.

On March 11th, even worse news came. The California Department of Financial Protection and Innovation announced the closure of Silicon Valley Bank, and the Federal Deposit Insurance Corporation was appointed as bankruptcy administrator to take over Silicon Valley Bank.

Although the Federal Deposit Insurance Corporation provides standard insurance of up to $250,000 for each depositor, it is not clear how much this will help the big customers of Silicon Valley Bank.

Silicon Valley Bank is very special. Most of its customers are technology startups and investment institutions, and it is a "to B" bank.

Since its establishment, the reputation of Silicon Valley Bank has been very good. So far, Silicon Valley Bank has supported more than 30,000 startups and more than 700 investment institutions, including facebook and Twitter. In the credit market of start-ups, it accounts for more than 50%.

The business of Silicon Valley Bank is not limited to the United States. It has branches in China, Indian, Israeli, British, German … almost the most important entrepreneurial market in the world.

In 2012, Shanghai Pudong Silicon Valley Bank was established. With the title of the first Sino-US joint venture bank in China, it has served more than 2,000 local science and technology enterprises in China. From artificial intelligence and big data to enterprise services, medical and health care, industrial internet and new consumption, all the hot spots are not absent.

Why did such a seemingly powerful and reputable bank collapse suddenly?

The answer is related to a key word:Federal reserve.

During the COVID-19 epidemic, in order to stimulate the economy, the US Treasury and the Federal Reserve passed a crazy rescue plan in 2020, injecting about 5 trillion US dollars into the financial market. In March of that year, the Federal Reserve cut interest rates by 150 points and kept the federal basic interest rate near zero. In 2021, Biden’s government continued to increase the code and approved the US rescue plan of 1.9 trillion US dollars again.

A large amount of water injection and the loose policy of zero interest rate have caused a surge in financial transactions and "stimulated" Wall Street into a prosperous period.

The Bank of Silicon Valley is also the beneficiary of this round of prosperity. In 2021, the amount of deposits in the technology stock bull market created by the liquidity of the Federal Reserve surged. At the end of 2019, the deposits of Silicon Valley banks were only about 60 billion US dollars, and in 2021, it reached the order of 190 billion US dollars.

After eating a lot of deposits, banks want to make money. The general way is to borrow money from commercial institutions and put the money out to eat interest.

The deposits of Silicon Valley banks originally belonged to these startups. Moreover, in recent years, the growth of technology and consumer industries has slowed down, and the financing needs of startups are declining, and loans cannot be released at all.

So, there is only one way for Silicon Valley Bank:Use customer deposits to invest directly.

In terms of investment direction, the choice of Silicon Valley banks is still relatively cautious. It allocates more than half of its assets to mortgage-backed securities.

The return on this investment direction is not high, and it is between 1.5% and 2% in yield to maturity. But the advantage is stability, not to mention that the cost of deposits used by Silicon Valley banks for investment is generally around 0.25%, which is still a steady profit.

However, the policy hand of the Federal Reserve changed this situation. The Federal Reserve, which had injected water crazily before, then began to raise interest rates crazily.

Since March 2022, the Federal Reserve has raised interest rates seven times in 2022, with a cumulative increase of 425 basis points. Eventually, the Fed will raise the target range of the federal funds rate to 4.25%-4.50%, reaching the highest level since the subprime mortgage crisis in 2008.

After entering the interest rate hike cycle, the investment assets held by Silicon Valley banks suffered a blow.

A very simple logic is:Even the federal funds have an interest rate of 4.5%. Who will hold mortgage-backed securities with a yield of only 1.5%?

As a result, the price of mortgage-backed securities began to plummet. At the same time, due to the change of financing environment, startups began to consume deposits continuously, and Silicon Valley banks were forced to sell assets to cope with liquidity, which led to a large number of floating losses in Silicon Valley banks and had to sell investment securities at a loss.

Until March 9, the Silicon Valley Bank, which really couldn’t survive, finally stood up and announced the fact that it had cut its own meat and suffered a sudden loss.

As soon as this news came out, it triggered a panic in the market, and everyone inevitably thought that there would be a big problem in the liquidity of Silicon Valley banks.

The collapse of the whole system of Silicon Valley banks inevitably happened.

02 Wall Street, chilly.

Under the Federal Reserve’s interest rate policy of "first drop and then increase", Silicon Valley Bank is not the only financial institution that has experienced ups and downs.

During the boom of Wall Street, the Wall Street financial giant Goldman Sachs Group also benefited greatly.

Its net income reached $59.3 billion and net profit reached $21.6 billion in fiscal year 2021, an increase of 137.25% year-on-year, setting a record high.The annual transaction income of the five largest investment banks in the United States, such as JPMorgan Chase and Citigroup, reached $100 billion for the first time in more than a decade.

In order to cope with the increasing business volume, Goldman Sachs set off a recruitment boom. By the third quarter of 2022, Goldman Sachs had 49,100 employees, a surge of 34% compared with 2018.

The number of employees in all walks of life has also greatly expanded. From the first quarter of 2020 to the third quarter of 2022, the number of employees at Morgan Stanley surged by 34%. The number of employees in JPMorgan Chase and Citigroup increased by 13% and 17% respectively.

But the good times won’t last forever. The interest rate policy of the Federal Reserve, after pushing the financial market to the top of the mountain, made it fall down severely.

In 2020-2021, under the bottomless water injection of fiscal and monetary policies, the American stock market was super prosperous and hit a new high. At the end of last year, the US Dow Jones index rose nearly 19%, the Nasdaq index rose 21%, and the S&P 500 index rose 27%.

By September 2021, their P/E ratios had risen to 25.9 times, 39.9 times and 26.6 times before the epidemic respectively, while their P/B ratios had increased by 6.73 times, 5.9 times and 4.51 times.

However, the interest rate hike in March, 2022 made the valuation of US stocks extremely cold. Since 2022, the benchmark S&P 500 index has fallen by 19.8%, or it will be the biggest annual decline since 2008. It’s like riding a "crazy roller coaster", described by Federal Reserve Chairman Powell.

The decline in the stock market has also slowed down IPO financing sharply, which has greatly reduced the business volume of Goldman Sachs. The number of transactions decreased by 73%, while the transaction amount decreased by 95%. Goldman Sachs’ financial report in the second quarter of 2022 showed that its net profit fell by nearly 48% due to the 41% decrease in investment banking income.

All kinds of unfavorable factors swept through, which made the net profit of Goldman Sachs increase between -40% and -50% in the first three quarters of 2022. At the end of October last year, judging from the results announced by the giants, JPMorgan Chase’s net profit fell by 17% year-on-year, and Bank of America’s net profit fell by 8% year-on-year.

This is really an ominous sign:The prosperity achieved by the Fed’s massive water injection a few years ago is coming to an end, and everyone should prepare for a hard life.

"Our future life will be very bumpy, and we must be more cautious in financial resources, especially in the short term",In 2022, David Solomon, CEO of Goldman Sachs, publicly stated many times that he hoped to control expenditure in the future.

The initial warning came from July. When Solomon saw the bleak second-quarter earnings report and judged that the US financial market would remain depressed for a long time to come, he immediately took precautions and told everyone in advance that Goldman Sachs would probably slow down recruitment and cut expenses in the future.

In September, Goldman Sachs first resumed its annual performance evaluation, which was suspended for two years during the epidemic. At that time, 500 people were laid off, and those who kept their jobs later found that their year-end bonuses were much lower than expected.

Regarding the future trend of Goldman Sachs, CEO David Solomon’s statement in an interview is:This will depend on the next Fed trend and inflation trend.

With the overall income of Wall Street investment banking business shrinking by about 40%, the largest banks have said that they will continue to lay off employees, and the whole industry is at the forefront of layoffs and optimization.

"Some people will be fired. We are laying off employees moderately around the world. For most enterprises, this is the situation after many years of development. "Following Goldman Sachs, james gorman, CEO of Morgan Stanley, also announced the layoff plan to the media.

Morgan Stanley has nearly 82,000 employees, and this time it announced about 1,600 layoffs, accounting for 2% of its total employees. In November 2022, the financial report data released by Morgan Stanley showed that its profit in the third quarter of fiscal year fell by 29% and its revenue fell by 12%.

Under such circumstances, JPMorgan Chase, Bank of America, Citigroup and other financial institutions are also considering cutting bonuses by one third or more. The incentive pay of wall street investment banks may drop by more than 45% as a whole.

Closely accompanied by the coldness of investment banks, there are deep worries about the prosperity and decline of the US stock market and anxiety about the Fed’s continued interest rate hike.What’s more, Wall Street generally has no hope for next year’s US economic forecast.

"The US stock market will usher in the worst year since the global financial crisis, and corporate profits will also suffer the same fate",Mike Wilson, chief US stock strategist at Morgan Stanley, warned the outside world.

The uncertain prospects of global economic growth make investors hesitate to invest for a long time. "We must assume that we will have some rough times in the future," David Solomon told the media. "We must be more cautious about financial resources and organizational scale.

On November 30, 2022, Powell once again publicly stated to the public that the fight against inflation in the United States is "far from over" and the Fed’s interest rate hike means "will continue for some time". He believes that,"In order to control inflation, we can even sacrifice certain employment and economy."

Continued aggressive interest rate hikes have made the market’s expectations of the US economic recession increase day by day. However, Biden said that the current economic slowdown is "not surprising" and he insisted that "the United States is still on the right path". And insist that even if there is a recession in the American economy in the future, it will be a very "slight" recession.

Wilson was very worried about the recent signs of weakness in the American economy under the warning of a recession. Perhaps the only good news is that Wilson assured the public that "fortunately, there are no signs of systemic financial risks or difficulties in the real estate market".

However, some business people represented by Musk are not so optimistic about the future.

Elon musk, CEO of Tesla, has warned people on many occasions that the US economy may face a serious recession lasting for one to two years. On November 30th, he wrote on Twitter again,"The Federal Reserve is continuously amplifying the possibility of a serious economic recession, and the US economic trend is worrying".

Jeff Bezos, the founder of Amazon, bluntly said in front of the media that the economic recession in the United States is close at hand. He even suggested that the American people should cut down their expenses as much as possible in the next few months and not buy big items such as cars and televisions.

The pessimistic attitude of entrepreneurs comes from their sober observation of themselves and their peers.

Just in January 2023,IBM announced that it will lay off 3,900 employees and reduce the number of its 280,000 employees by 1.4% in order to divest its medical and health business.

In 2022, the major technology giants in the United States have laid off more than 60,000 people. Many people think that this is the end, but they don’t know that this is just the beginning.

As soon as it entered 2023, Amazon confirmed the start of a new round of layoffs, and the number of layoffs is expected to reach 18,000, making it the largest layoffs in Amazon history;

Microsoft announced that it will lay off 10,000 employees at the end of March, and Google will lay off 12,000 people. Twitter’s goal is to reduce the total number of employees to the pre-IPO level.

Dr. Rouriel Roubini, who accurately predicted the financial tsunami in 2008, is even more pessimistic. He believes that the US economy will not only face inflation and fall into recession, but also usher in a "stagflation debt crisis".

"High inflation will bring higher interest rates, slow growth and weak labor market conditions, and it will also bring pain to families and enterprises," Powell explained to the public.

"We must control inflation. I hope there is a painless way to do this. But it didn’t. "

03 real estate, hidden worries reappear

As a core fixed asset, American real estate is actually in a delicate or even bad situation.

During the epidemic, the Federal Reserve continued to inject water for two years, which led to the financial prosperity and even the bubble on Wall Street, and also made American real estate once again reach a dangerous height and face risks.

In 2020-2021, the American property market experienced a boom that had never happened in the past two decades.

The term "How much will American housing prices rise in 2021" has increased by 350% in Google’s search frequency within one week.

"The price is almost heaven." A property buyer said excitedly, "Basically, it depends on grabbing. It is common for dozens of people to grab a suite. It is impossible to buy a house without increasing the price."

In April 2021, Mr. Zhang, a Chinese resident living in San Diego, California, told the media that a good house in the neighborhood of his home could be sold in about 10 to 15 days after it was hung up. In order to impress the original owner, the buyer must increase the price by at least 10%-20%.

"Every day, there are about thirty or forty groups of people waiting in line to see a suite. Many people come directly with cash, and sometimes they are directly robbed by the people in front before they get to themselves."

In 2021, 6.12 million properties were sold in the United States, reaching the highest performance since 2006. During the post-2020 epidemic, house prices in the United States rose by 43% in two years. At the same time, the data shows that house prices in 20 cities in the United States soared by 14.9%, the highest level since November 2005.

In the first half of 2022, the hot trend of the US property market continued. In February, house prices rose by 19.8% year-on-year, the highest increase in 25 years and four times the average increase in the past decade. In June, the median selling price of American houses reached the top, reaching $413,800.

Then, the violent interest rate hike by the Federal Reserve pushed the US property market to a cliff.

At the end of October, the mortgage interest rate in the United States exceeded 7%, the highest level in 20 years.

With the surge in interest rates, the confidence index of American home buyers quickly fell to 39, the lowest level since the 1980s. In December, the confidence index of NAHB home builders in the United States was only 31, lower than that in February 2007. An index below 50 indicates that the real estate market is in a contraction period.

Both buyers and sellers lack confidence, so that the originally fiery property market quickly entered the freezing period. At the same time, mclaughlin, chief economist of Kukun Company, boldly predicted that the good days when working families could easily buy high-quality housing anywhere in the United States were over. The soaring housing prices in the past two years may force them to extend the time for buying houses by five to ten years.

The rising interest rate has greatly increased the repayment pressure of buyers; The continued high housing prices have hit the purchasing power of buyers. In the end, the demand for house purchase dropped sharply, and house prices changed from rising to falling.

In 2022, the total sales of finished houses decreased for 11 consecutive months, and house prices could not keep increasing in the second half of the year and began to fall back. Diane Swonk, chief economist of KPMG, predicts that house prices in the United States may fall by 15% in 2023.

The sudden slowdown of the once-soaring real estate market has made the value of stocks firmly bound to real estate extremely uncertain. Nouriel roubini believes that the stock value will shrink by as much as 40% in 2023.

After experiencing the soaring housing prices in the United States during the two years of the epidemic, many people began to wonder whether the real estate bubble in the United States has piled up again. After all, one of the keys to the financial tsunami in 2008 was the real estate bubble. Now the United States is facing the double pressure of real estate and stock market, which makes people worry that a bigger storm is brewing.

Many people have forgotten that in 2002, former Federal Reserve Chairman Alan Greenspan said,"The prosperity of our real estate market is actually composed of a large increase in mortgage debt, which is unsustainable".

On the eve of the financial tsunami, American house prices rose by 10% every year, by 17% in 2005, and by more than 50% in the four years from 2003 to 2006.

In the five years from 2002 to 2006, the Federal Reserve raised interest rates 17 times in a row. As a result, the interest rate of housing loans has soared, and house prices have collapsed and fallen wildly.

The collapse of the property market brought down the stock market and plunged by 50%. Then the unemployment rate increased greatly, and household consumption and business investment decreased rapidly. Finally, the American economy fell into recession. Then it triggered a financial tsunami that affected the whole world.

Although Federal Reserve Chairman Powell is optimistic, he believes that the current American real estate is very stable, and there will be no recurrence of the 2008 crash and no economic recession. The mainstream view of the market also believes that the rapid rise of the US housing market during the epidemic period is not the same as that in 2008.

However, nowadays, large banks have closed down, technology and finance enterprises have laid off a large number of employees, the stock market has flourished and declined, and the hidden troubles in the housing market have reappeared. More and more people feel that this story is deja vu.

While they are worried, they keep speculating in their hearts: Under the operation of the Federal Reserve, will the collapse of the Silicon Valley Bank be just the beginning? Will the United States set off another financial and economic catastrophe?

C Ronaldo updates Ins training photos in the gym: focus on results rather than obstacles!

[C Ronaldo updates Ins gym training photos: focus on results rather than obstacles! 】 C Ronaldo updated his Instagram dynamics, exposed training photos in the gym, and said: "Focus on results rather than obstacles!" .

In the last round of Saudi League, Riyadh lost to Jeddah United 0-1 away, and the ranking slipped to the second place. Riyadh’s next league victory will be the King’s Cup of Saudi Arabia against Abu Dhabi.

U20 Asian preliminaries Laos women’s football VS China: Men’s and women’s football should win more beauty?

In the U20 Asian preliminaries, the Lao women’s football team will face the challenge of the China women’s football team. Prior to this, the China Olympic Team and the national team had played PK with Laos. The total score of the men’s soccer team swept Laos 13-3 in two rounds, while the Olympic team beat their opponents 8-0. This time, the women’s U20 played against Laos U20, and the little girls of China U20 not only won, but also won beautifully.

It is very important to avoid making mistakes.

From the strength point of view, China’s football is no matter how bad it is, it will not be defeated by Laos. But to fight against the weak, we must not only win, but also win beautifully and perfectly. In addition to scoring more goals on the offensive end, we should also avoid losing goals. Similar to the national football team, although it won 10 goals in the previous two games, it was unforgivable to lose 3 goals. China U20 women’s football team didn’t concede a goal in the previous two games. Whether this game can sweep away opponents while keeping a clean sheet deserves our common concern.

Shui Qingxia pays attention to the U20 national team. Which players can enter the Women’s World Cup?

Director Shui Qingxia is also paying attention to the performance of China U20 women’s football team. At present, Zou Mengyao has played a series of world waves with both violent aesthetics and excellent angles in previous competitions. If Zou Mengyao can appear in the Women’s World Cup, even if he only plays as a substitute or only plays half-court, it will also be of great significance to the growth of teenagers. Shui Qingxia’s guidance on which teenager will enter the women’s national team and play in the women’s World Cup is also a follow-up point.

Google released the "super brain" PaLM-E in history, and robots have become versatile since then.

What happens when ChatGPT has vision?

Editor’s note: ChatGPT has grabbed most of the limelight in the AI field during this time. But recently, an AI model PaLM-E launched by Google, which has visual ability and can guide robots without special training, has also shown impressive capabilities. The emergence ability of this largest visual language model so far makes people think about general artificial intelligence. The article comes from compilation.

On Monday, a team of artificial intelligence researchers from Google and Technical University of Berlin launched a multimodal visual language model (VLM), which is called Palm-E. The model has 562 billion parameters and integrates vision and language for controlling robots. Researchers claim that this is the largest VLM ever, and it can perform various tasks without retraining.

According to Google, PalM-E can generate an action plan for a mobile robot platform (developed by googlebot) with a mechanical arm, and then execute it by itself, just by giving it a high-level command, such as "Give me the rice cake in the drawer".

PaLM-E realizes this by analyzing the data from the robot camera, and the whole process does not need to preprocess the scene representation. In this way, there is no need for human beings to preprocess and annotate the data, and the control of the robot can be more autonomous.

In the demo video provided by Google, PaLM -E carries out the instruction of "get me a bag of rice chips from the drawer", which includes several planning steps and visual feedback from the robot camera.

This model is also flexible and can respond to the environment. For example, the PaLM-E model can guide the robot to the kitchen to take out the rice cake bag. Because PaLM-E is integrated into the control system, it can be tolerant of possible interruptions during the task. In a video example, the researchers put the rice cake bag picked up by the robot back several times, but the robot will find the rice cake bag again and pick it up again.

In another example, the same PaLM-E model is shown to control the robot autonomously through tasks with complex sequences. Previously, such tasks often required manual guidance. Google’s research paper explains how PaLM-E transforms instructions into actions:

We demonstrated the performance of PaLM-E in challenging and diverse mobile control tasks. In the setting, we mainly follow the setting of Ahn and others. (2022), that is, robots need to plan a series of navigation and manipulation actions according to human instructions. For example, give the instruction "I spilled my drink, can you bring me something to clean up?" After that, the robot needs to plan an action sequence including "1. Find the sponge, 2. Pick it up, 3. Give it to the user, 4. Put it down". Inspired by these tasks, we developed three use cases to test PaLM-E’s embodied reasoning ability: fitness prediction, fault detection and long-horizon planning. Low-level policies come from RT-1 (Brohan et al., 2022), which is a transformer model. It can use RGB images and natural language commands, and then output end-effector control commands.

PaLM-E belongs to the "next-token predictor", so it is called "PaLM-E" because it is based on Google’s so-called "PaLM" large language model (similar to the technology behind ChatGPT). By adding sensory information and robot control, Google "visualized" PaLM.

Because it is based on the language model, PaLM-E can continuously observe, for example, images or sensor data, and encode them into a series of vectors with the same scale as language tags. In this way, the model can "understand" sensory information in the same way as language.

Google also provided a demonstration video, which showed that a robot "gave me a green star" under the guidance of Palm-E. The researchers said that this green star "is an object that this robot has not directly touched before."

In addition to the RT-1 robot transformer, PaLM -E also draws lessons from Google’s previous work on ViT-22B. ViT-22B is a visual transformer model released in February this year. ViT-22B has been trained in various visual tasks, such as image classification, object detection, semantic segmentation and adding subtitles to images.

Google Robotics is not the only research group dedicated to robot control using neural networks. This research reminds people of the paper recently published by Microsoft (ChatGPT for Robotics), which also discusses the control of robots by combining visual data with large language models in a similar way.

Robots aside, Google researchers have observed some interesting effects, which are obviously because PaLM-E uses a large language model as its core. First of all, it has the performance of "positive migration", which means that it can transfer the knowledge and skills learned from one task to another. Compared with the robot model with single task, the performance of the former is significantly higher than that of the latter.

In addition, they also observed a trend of model scale: "The larger the language model is, the more it can maintain its language ability when training with visual language and robot tasks-in terms of quantity, the PaLM-E model with 5620 parameters almost maintains all its language ability. “

PaLM-E is the largest VLM reported so far. Although we have only received the training of single image prompt, we have observed the emergence of emerging abilities such as multimodal thinking chain reasoning and multi-image reasoning. Although this is not the focus of our work, PaLM-E has set a new SOTA (Best Performance) on the OK-VQA benchmark.

——Danny Driess

Researchers claim that PaLM-E has demonstrated its emergent abilities, such as multi-mode thinking chain reasoning (which allows models to analyze a series of inputs including language and visual information) and multi-image reasoning (which uses multiple images as inputs to make reasoning or prediction), even though it has only been trained with single image cues. In this sense, as the deep learning model becomes more and more complex, PaLM-E seems to continue to surprise people.

Google researchers also plan to explore more applications of PaLM-E in real-world scenes, such as home automation or industrial robots. They hope that PaLM-E can stimulate more research on multimodal reasoning and embodied AI.

The word "multimodal" is very hot now, and we will hear more and more in the future, because major companies want to make general artificial intelligence that looks like human beings to perform general tasks.

Translator: boxi.

Dazu Laser: The company’s global intelligent manufacturing base has been completed and put into use, which has greatly solved the problem of insufficient production and operation space for some produc

On March 9, 2009, Dazu Laser answered investors’ concerns on the investor relations platform.

Investors:Hello, Secretary-General, are all the bases of the company producing at full capacity at present, and has the situation of tight production capacity improved? Thank you.

Han’s Laser Secretary:Dear investors, hello! The company’s global intelligent manufacturing base has been completed and put into use, which has greatly solved the problem of insufficient production and operation space for some production lines. The construction of the company’s East China regional headquarters base and the new energy intelligent equipment production base is proceeding in an orderly manner. Before the project is completed, the local government will provide temporary project land and workshop to meet the company’s production needs. Thank you.

Investors:Hello, Secretary-General. At present, photoresist is restricted by foreign countries. What layout does Han’s laser have in the field of photoresist at present? Thank you.

Han’s Laser Secretary:Dear investors, hello! The company’s business does not involve the above fields, thank you.

Investors:Do the company’s products have silica equipment such as quartz sand pots?

Han’s Laser Secretary:Dear investors, hello! The company has no related equipment and products for silicon processing, thank you.

Investors:Hello, Secretary Dong, does the company have the research and development of 6g equipment? At present, whether the equipment of Han nationality can realize artificial intelligence.

Han’s Laser Secretary:Dear investors, hello! The company is not involved in the research and development of 6g equipment. At present, the company focuses on laser and automation technology, and is guided by customer needs. While maintaining the stable development of the original business, it continues to explore more application industries and scenarios of laser technology. The company will pay close attention to the application of artificial intelligence in the field of industrial processing and actively seize relevant opportunities. Thank you.

The third quarterly report of Dazu Laser 2022 shows that the company’s main income is 10.562 billion yuan, down 11.47% year-on-year; The net profit of returning to the mother was 1.014 billion yuan, a year-on-year decrease of 32.45%; Deducting non-net profit was 818 million yuan, a year-on-year decrease of 35.45%; In the third quarter of 2022, the company’s main revenue in a single quarter was 3.625 billion yuan, down 18.43% year-on-year; The net profit returned to the mother in a single quarter was 382 million yuan, a year-on-year decrease of 37.58%; Non-net profit deducted in a single quarter was 211 million yuan, down 57.64% year-on-year; The debt ratio is 50.79%, the investment income is 144 million yuan, the financial expenses are-151 million yuan, and the gross profit margin is 36.51%.

In the last 90 days, the stock has been rated by 4 institutions and 4 buy ratings; The average institutional target price in the past 90 days was 38.1. In the past three months, the net outflow of financing was 42.6318 million, and the financing balance decreased; The net inflow of securities lending was 4,974,400, and the balance of securities lending increased. According to the financial report data in the past five years, the Securities Star valuation analysis tool shows that the moat of competitiveness in the Han laser industry is good, the profitability is good, and the revenue growth is poor. Finance is relatively healthy, and the financial indicators that should be paid attention to include: accounts receivable/profit rate. The stock has a good company index of 3.5 stars, a good price index of 2.5 stars and a comprehensive index of 3 stars. (The index is for reference only, and the index range is 0 ~ 5 stars, with a maximum of 5 stars)

The main business of Dazu Laser: R&D, production and sales of laser marking, laser cutting, laser welding equipment, PCB special equipment, robots, automation equipment and system solutions supporting the above business.

The above contents are compiled by Securities Star according to public information, and have nothing to do with the position of this website. Securities Star strives for but does not guarantee the accuracy, completeness, effectiveness and timeliness of all or part of this information (including but not limited to text, video, audio, data and charts). Please contact us if you have any questions. This article is for data collation, and does not constitute any investment advice for you. Investment is risky, so please make a careful decision.

[Zheng Xing Dong Mi Interactive]

This article does not constitute investment advice, the stock market is risky, and investment needs to be cautious.