The Premier League Player of the Year in February was released, and Rachford was re-elected. This is the third time that he won this award this season, tying Salah’s record in 2017/18.
Rachford, who broke out after the World Cup, was named Premier League Player of the Month in September and January this season. He scored five goals in four league games in February, and scored in the first leg of the Europa League play-off against Barcelona and the Carling Cup final.
The England striker has won the Premier League Player of the Month for the third time this season, tying Salah’s record in the 2017/18 season. At that time, the Liverpool winger won awards in November 2017, February and March 2018, and was the first player in the history of the Premier League to win this award for three times, and finally scored 32 goals in the whole season.
In addition, Rachford is also the first Premier League player of the month since Manchester City midfielder Gundogan in January and February 2021.
Rachford’s competitors in February were leicester city striker Kelechi Na Qiao, Fulham goalkeeper Bernd Leno, winger Manor Solomon, Tottenham right-back Emerson Royal and Aston Villa striker Ollie Watkins.
After winning the prize, he wrote an article on Twitter to celebrate: "I am ecstatic to win the player of the month award in Manchester United and the Premier League again. I couldn’t have succeeded without the help of other teammates and staff. Setbacks are inevitable, but as long as we remain focused and United, we will eventually see the dawn at the end of the tunnel! "
Rachford, who also won Manchester United’s player of the month award in February, also modestly thought that this award was the credit of the team as a whole. In December and January, he was elected as the best player in the team: "This player of the month award, I think you can award it to anyone in the team in the last three months. Each of them deserves to win this award, so it really makes me feel honored, and I have done it three times. "
"All the players who aim at this or not, they also deserve this award. This shows that we are making progress as a team, and I hope we can continue like this. "
It is worth mentioning that Erik Tenghag and David de Gea also won this month’s Best Manager and Best Fighting Award respectively.
Previously, Rachford and Eric Tenghah won the Player of the Month and Coach of the Month in September last year. The last time Manchester United achieved this achievement twice in a single season was 15 years ago, when Cristiano Ronaldo and Sir Alex Ferguson won awards in January and March 2008 respectively.
At present, Rachford has won the Premier League Player of the Month four times in his career. Sergio Aguero and Harry Kane won the most awards, and they have won this honor seven times.
Writing robot: will it change the future literary world?
Writing robot has become a hot topic. These robots can automatically generate articles and improve writing efficiency, so this technology has been widely used in publishing houses, news media and other fields. So, will writing robots change the future literary world? This paper will discuss this issue through the story of the AI team written by Tiger.
Tiger AI is the most advanced natural language generation software company, and their products have defeated many competitors by virtue of their high-quality natural language generation technology. I believe that in the future, with the continuous development of artificial intelligence and natural language generation technology, the application of writing robots will be more and more extensive.
However, the Tiger Writing AI team does not think that writing robots will completely change the future literary world. Although writing robots can automate some tedious and repetitive tasks, they lack emotion and imagination and cannot produce excellent works like human writers. Writing robots can be used to simplify the process, but they cannot produce truly excellent literary works.
In fact, the Tiger Writing AI team believes that writing robots are more used to accomplish certain tasks under the creativity of human writers. For example, human writers can use writing robots to complete some tedious tasks, or use their language generation technology to improve the quality of articles. This is similar to the changes brought by automobiles. They do not replace people’s motivation, but provide people with more convenience and choices.
What programming language can continue to be popular 30 years after its birth?
If you can think of Python, congratulations, that’s right. In the October 2022 report, we found that Python is still the second most commonly used programming language on GitHub. Interestingly, the usage of Python increased by more than 22% year-on-year. In 2022, more than 4 million developers on GitHub were using it.
In this paper, we will introduce the history, characteristics and usage of Python in depth, and try to answer why the programming language conceived in the 1980s can continue to dominate the development. In addition, we will provide some useful tips and techniques for experienced Python developers.
What is Python?
Python is a high-level interpretable programming language, and its syntax is very simple, which makes it easy to read and very friendly to users and beginners. Python was originally built to satisfy the author Guido Van Rossum’s desire to design a simple and beautiful programming language. It was first released to the world in 1991.
Interestingly, this programming language, which originally wanted to express "beauty", chose the word Python as its name, which was related to a TV comedy "Monty Python’s Flying Circus in monty python" which was first broadcast in the 1970s in Britain.
Python language has been widely used in developers, data scientists, researchers and other fields since its birth. You may ask, where do you see that Python is simple and beautiful? Let’s make a comparison:
Usually, as an introductory example, every little white who studies programming will write this case:
Python
And if you use Java, you will have to write many more lines:
Java
Because Python is a universal language, it can be used in various applications, and its simplicity makes it an excellent language for automating tasks, building websites or software and analyzing data. Python has several other features that make it very popular among developers and engineers. These include:
Easy to read:
Python code uses English keywords instead of punctuation, and its line breaks help define code blocks. This means that you can easily understand the design purpose of the code by looking at the code;
Open source code:
You can download the source code, modify it, and use it at will;
Cross platform:
Some languages require you to modify the code to adapt to different platforms, but Python, as a cross-platform language, can run the same code on any operating system as long as it has a Python interpreter installed.
It is extensible:
Python code can be written in other languages (such as C++), and users can add low-level modules in Python interpreters to customize and optimize their tools.
Has a powerful standard library:
This library can be accessed by anyone, which means that users don’t have to write code for each function, but access the built-in modules to help solve problems in daily programming.
What is Python usually used for?
Python can be used for almost anything, from network and software development to machine learning and artificial intelligence (AI). Let’s look at one of the most common use cases.
If you run it, you will see some jokes, which Python engineers usually use to laugh when they are bored.
Anyway, let’s introduce the current situation of Python from some fields:
1.Web and software development field
Python is a popular language for Web and software development, because you can create complex multi-protocol applications on the basis of ensuring concise and readable code. In fact, some of the most popular applications are built in Python. In addition, Python’s open source community provides developers with a lot of reusable code, frameworks and support. Django, for example, is one of the most commonly used Python frameworks designed by a group of experienced developers, aiming to help others develop applications efficiently and solve some common problems that may hinder them from advancing the project.
2. Task automation
An important advantage of using Python is that it can automatically perform some streamlined or repetitive tasks. With Python, you can learn how to automate anything by using built-in modules or pre-written code from its robust library. Or you can write your own custom scripts to perform specific operations. For example, you can easily send an email automatically using the "smtplib" module or copy a file using the "shutil" module. Python also has a set of robust test frameworks, which makes it an excellent language for test automation. Frameworks like Pytest, Behave and Robot allow developers to write simple and effective tests to ensure the quality of their construction.
3. Machine learning and big data
Here is an interesting fact: Python is the preferred language for data science and research. Because its syntax is easy to understand and adaptable, people with little development experience can easily learn Python and use it to manipulate data for research, reporting, prediction or regression analysis. Collecting and analyzing data is a time-consuming task for data scientists. Python, as one of the main languages for training machine learning (ML) models, can analyze and identify the features in these model data through specific algorithms, so as to make predictions or decisions based on these data. It can also be continuously optimized and adjusted based on previous data sets to cope with new variables. Data scientists and developers who train ML models often use some libraries, such as NumPy, Pandas and Matplotlib, to complete automatic data cleaning, transformation and visualization.
4. Financial or financial analysis
Similar to how Python helps data scientists deal with large data sets, Python is widely used in the financial industry to quickly perform complex calculations. The stock market will produce a lot of data, Python can be used to import data about stock prices, and identify trading opportunities through algorithm generation strategies. The language can also be used for portfolio optimization, risk management, financial modeling and visualization, cryptocurrency analysis and even fraud detection.
5. Artificial intelligence
Python can also be used in some of the most complex artificial intelligence (AI) technologies, and it is actually one of the preferred languages for AI. Python’s concise and readable code allows developers to create consistent and reliable systems. Its huge library provides many frameworks like PyBrain, which provides developers with powerful algorithms for machine learning tasks. In addition, the visualization function of Python can help transform these large data sets of AI or ML into understandable graphs or reports. Interestingly, OpenAI, an artificial intelligence research laboratory, uses Python framework Pytorch as their standard framework for deep learning and is used to train its artificial intelligence system.
Why is Python so popular?
Apart from relatively simple learning, there are other reasons why Python continues to be popular. Including:
High production efficiency:
Compared with other more complex programming languages such as C++, Python’s syntax allows users to do more things in less time and reduces the time and effort to write the same line of code.
It has a broad and supportive user community:
Even the best developers will encounter problems, and the user community has become a valuable resource gathering place. Python has a huge community that provides documentation, tutorials, tips and tricks to master the language. For example, the Python community on GitHub provides everything from the latest version of the language to Bug reports and update instructions.
Education recognized:
Python has become the preferred programming language in education, and some students even met Python in primary school. Believe it or not, there are some children’s picture books specially written for Python. Although students majoring in computer science are often taught Python, its use has already gone beyond a single discipline and extended to other fields of STEM and academic research. For example, Python can be used to solve differential equations, perform statistical analysis, simulate and track particle diffusion, and so on.
It has a high enterprise demand:
Because of its wide applicability in development and data analysis, learning and understanding Python is generally considered as a necessary skill for job seekers. According to the situation of well-known recruitment agencies, Python language is the third programming language for global recruiters in 2022.
Python is everywhere, and it has been widely used to build a large number of technologies, websites and even systems that most people encounter every day. The technology it provides, from your favorite video streaming service to machine learning algorithms, even helps you to conduct cryptocurrency transactions. To give a broader example, NASA is also using Python to analyze the data of the complex James Webb space telescope, which makes it one of the few programming languages used in projects outside the world.
Live broadcast on March 11th According to the Daily Telegraph, with the hope of the club’s rapid transfer fading, the Glazer family’s process of selling Manchester United may continue to be delayed until the end of this season.
The Glazer family now thinks that if they decide to transfer the club’s firepower, they will sell Manchester United before the summer transfer window opens in June. Their goal is to complete the transaction before the first quarter of this year or the end of April, but according to informed sources, this possibility seems to be getting smaller and smaller, and it is considered a more realistic time frame to complete the transfer before the summer window opens in June, if the Glazers receive an acceptable offer.
The Glazers hope to sell Manchester United to at least 5 billion pounds, but it is believed that the bids of Sheikh Jasim Al Thani and Sir Jim ratcliffe are currently lower than this valuation. It is understood that the senior manager of Elliott Management, an American hedge fund, went to Manchester this Thursday and met with Rene Bank, a commercial bank in charge of Manchester United’s transfer process, and representatives of Rothschild, the Glazer family financial adviser. In the evening, representatives of Elliott Fund went to Old Trafford to watch Manchester United beat real betis 4-1 in the Europa League. This interview marks the opening of the second stage of Manchester United’s sales process. Next week, Sheikh Jassim and representatives of ratcliffe’s Ineos Group will go to Old Trafford to attend a detailed meeting.
According to people familiar with the matter, at least four companies are interested in acquiring Manchester United, although only Jassim Al-Thani and ratcliffe are open bidders at present. The source told the Daily Telegraph that although the Glazer family’s 18-year ownership of Manchester United has been negatively evaluated due to long-term fan protests, they will only "resolutely sell" if they receive the right price. Next week, potential bidders will inquire about Manchester United’s more detailed financial information, and have the opportunity to carefully inspect Old Trafford Stadium and Carrington Training Base, which need a lot of investment to improve in the future. A source said: "They will have the opportunity to look at something more internal."
Elliott Fund does not intend to directly acquire Manchester United Club like Jassim Al Thani or ratcliffe, but is ready to provide acquisition funds for an interested enterprise. They owned AC Milan before selling the club to Hong Niao Capital, an American investment group, last year. In addition, several American hedge funds, including Ares, MSD Partners and Oak Management, are also said to be willing to provide financing for potential acquirers.
The timing of the announcement comes just before United’s process of determining the sponsor of next season’s jersey advertisement begins. They can find a new sponsor, but industry experts will not be surprised that Team Viewer will stay on the chest of Manchester United jerseys next season. A number of sources said that Manchester United will not rush to determine the sponsor of the jersey, especially in the case that the club may be about to transfer. They are still determined to find a suitable advertising partner. Richard Arnold, CEO of Manchester United, said at the World Economic Forum in Davos in January that Manchester United has attracted the interest of many potential sponsors.
Teamwiewer is under great pressure from its investors to suspend the sponsorship deal with Manchester United. The sponsorship originally expired in 2026, but the company’s performance has been deteriorating. If, as estimated, Team Viewer stays on Manchester United’s jersey next season, then Manchester United may change to a new chest advertising sponsor in 2024-25.
On March 12th, Beijing time, the 27th round of Premier League ushered in a focus battle, with Manchester City and Crystal Palace as the two sides. Manchester City ranked second in the Premier League before the game, and Crystal Palace ranked 12th in the Premier League before the game. The strength gap between the two teams is not small, but Crystal Palace still creates trouble for Manchester City. Manchester City has been looking for a good opportunity to break the door, but it was too late to break through the Crystal Palace. It was not until the 78th minute of the game that Manchester City got a penalty opportunity. In the end, Harland hit a penalty kick, and Manchester City won a thrilling victory with this penalty, beating Crystal Palace 1-0 away and scored 3 points. At present, Manchester City lags behind Arsenal by 2 points in one round, and the ownership of the Premier League championship this season remains in suspense!
Although Manchester City scored 3 points in the Crystal Palace, it was really awkward for Manchester City to play. Although Manchester City shot as many as 14 times, the shooting quality was not high, and there were very few shots that really threatened the Crystal Palace. De Braune didn’t start this game, and only after Harland scored a penalty did De Braune get a chance to play. Guardiola obviously put De Braune in the lead, but Crystal Palace attacked fiercely in the last 10 minutes, and Manchester City was once in a passive defense state. Fortunately, it was a near miss to win the game.
In fact, Crystal Palace can be regarded as the bitter victim of Manchester City. In the first six meetings (excluding this game), Manchester City only won three games, and the other three games were 2 draws and 1 loss respectively. If it is an opponent with equal strength, such a record is acceptable, but the strength of Manchester City is obvious to all. Crystal Palace has been in the middle reaches of the Premier League for many years, and Manchester City can’t get a bargain on Crystal Palace. It can also be seen that Crystal Palace has definitely studied Manchester City’s tactical system in depth, which perfectly limits the offensive rhythm of Manchester City.
Before the game against Manchester City, Crystal Palace’s last four games at home were all tied with their opponents, and the strength of these four opponents was not weak, namely Manchester United, Newcastle United, Brighton and Liverpool, which also strengthened Crystal Palace’s determination to defend the home court. This time against Manchester City, the Crystal Palace did have a chance to draw with Manchester City at home if it hadn’t been for a mistake in the 78th minute. Unfortunately, the players in the Crystal Palace couldn’t keep up with their physical fitness, and they could only watch Harland score a penalty. It is a pity that this is true.
Finally, let’s talk about Harland’s performance in this game. The only goal of Manchester City was scored by Harland, but Harland’s performance was still not perfect. Harland touched the ball only 22 times in this game. Among all the starting players in Manchester City, only goalkeeper Edersen touched the ball less than Harland (19 times), in other words, Harland’s participation was not high. Harland only succeeded twice in nine confrontations, and the success rate of confrontation was only 22%. Harland was originally proud of his physical fitness, but he didn’t show this advantage in this game, and even the success rate of passing the ball was only 60%, unlike the omnipotent "Magic Man Buou" before.
Judging from the performance of this game, Manchester City’s road to the championship is still very difficult, De Braune’s competitive state is becoming more and more unstable, and Harland has begun to be targeted by his opponents. If Alvarez, Grali Shi and Mahrez can’t stand up and turn things around, Manchester City may meet even greater challenges next. At present, Manchester City is only two points behind Arsenal, the top of the Premier League. If Manchester City wants to win the Premier League title this season, it must maintain the winning streak at this stage and strive to win more games!
Public Network Poster Journalist Yue Xiaoyuan reports from Jinan
With the accelerated development of smart medical care, digital intelligence technology continues to penetrate the diagnosis and treatment links, and the efficiency before and during diagnosis is constantly optimized. Patients can already enjoy convenient services from registration and other links; However, in terms of post-diagnosis management, due to the lack of scientific self-health management means and professional medication guidance, many patients who need to take drugs for a long time, adjust drugs and need regular follow-up visits will stop taking drugs on their own, resulting in poor treatment effect, and it is urgent to explore and innovate smart services.
In order to solve the problems of patients’ declining self-management ability and medication compliance after leaving the hospital, Zaozhuang Municipal Hospital is guided by problems and needs, supported by new concepts and technologies such as AI and digitalization, actively seeking better solutions, exploring the intelligent management mode of "discharged patients -AI- doctors" and opening up the "last mile" of closed-loop medical services. Nowadays, under the background of "Digital Intelligence Empowering Medical Care", Zaozhuang Municipal Hospital has achieved initial results in patient management services in such scenes as personalized health guidance, online consultation, intelligent follow-up, out-of-hospital signs monitoring and analysis, and follow-up reminders, relying on a convenient and efficient post-diagnosis management system.
"When I was at home, my blood sugar control was very bad. Going to the hospital was also very troublesome and very anxious." Aunt Fang’s experience is typical: at the age of 86, she suffered from diabetes for many years, and was admitted to hospital for treatment because her blood sugar was "out of control". However, how to monitor her blood sugar at home in time after discharge and facilitate contact with doctors is a major problem that plagues her family. I learned that the post-diagnosis management platform can bind the blood glucose meter, realize the automatic uploading of physical sign data and timely warning of abnormal conditions, and Fang Ayi’s daughter took the initiative to join. After a period of drug treatment at home, the platform monitored that Aunt Fang’s blood sugar data fluctuated violently, and AI automatically called her family to understand the situation. It was discovered that the family members of the existing aunt changed metformin tablets (three times a day) into metformin sustained-release tablets (once a day). AI judged the risk of drug change and immediately fed back the early warning signal to the health manager and doctor for manual intervention to remind the family members not to adjust the drugs themselves. This incident made Aunt Fang’s daughter particularly grateful and called "the post-diagnosis management platform gave patients and their families a reassurance". Nowadays, relying on the intelligent post-diagnosis management platform, Aunt Fang can regularly measure her blood sugar at home, and her family members can contact health managers and doctors at any time on the platform for consultation on medication adjustment, diet structure and other issues. Now Aunt Fang’s blood sugar value has basically stabilized.
Not only diabetes, but also the post-diagnosis management of orthopedic patients is "difficult". Can artificial intelligence technology also be used to establish an efficient connection between doctors and patients to help patients recover scientifically? Come and see the medical experience of 81-year-old Aunt Chen.
Aunt Chen suffered from intertrochanteric fracture due to a fall at home, and was discharged smoothly after treatment. Because Aunt Chen is old, her family members are very worried about the condition of the elderly, but they don’t know much about how to carry out targeted exercise. After learning about the post-diagnosis management service of trauma orthopedics, you can consult dressing change, reexamination, stitches removal and other issues online, or you can contact doctors conveniently and quickly, and your family members will join immediately. The AI intelligent doctor assistant on the platform will send rehabilitation guidance, and the family members will assist Aunt Chen in rehabilitation exercise at home according to the rehabilitation exercise video sent on the platform; The platform provides registration guidance for patients and sends a review reminder. Aunt Chen only needs to "step on the point to go to the hospital for review" according to the platform message, which makes Aunt Chen’s daughter call "too convenient, very calm!"
Aunt Chen’s children are bound to the platform to ask about rehabilitation precautions.
This patient’s comfortable medical experience is the epitome of the results of Zaozhuang Municipal Hospital’s careful layout of post-diagnosis management services, and it is also a vivid embodiment of the continuous amplification of high-quality medical resources by digital new technologies. In order to actively respond to the national new medical reform policy, change the medical service mode, improve the medical service level, and quickly and efficiently solve the hot, difficult and blocking problems of the masses in seeking medical treatment, Zaozhuang Municipal Hospital, in combination with the launch of the "Action to Improve the Satisfaction of the Masses in Seeing a Doctor", piloted the working mode of "Artificial Intelligence+Post-diagnosis Management" to carry out full-cycle refined health management services for patients.
On the one hand, we will build an artificial intelligence laboratory with Xunfei Medical, and make full use of artificial intelligence technology to explore patient intelligence services in scenarios such as personalized rehabilitation, personalized health guidance, all-weather response, smart phone follow-up, and remote sign monitoring; On the one hand, the construction of AI patient service center, equipped with professional health managers, realizes the full-cycle management of patients from leaving hospital to home rehabilitation, and improves the overall effect of treatment; On the other hand, the relevant functional departments innovatively incorporate the post-diagnosis management of AI into the follow-up system and organize its implementation, which is known and strictly implemented by relevant personnel in the departments that have been carried out. At present, 12 departments, including trauma orthopedics, spine, obstetrics, endocrinology and metabolism, have officially put into operation full-cycle refined health management services, which not only enhanced patients’ compliance, effectively extended the treatment plan, but also greatly improved the satisfaction of the people in seeing a doctor.
Doctors in Zaozhuang Municipal Hospital are making detailed inquiries.
Based on the innovative exploration of patient management after diagnosis, in the recent 2022 China Modern Hospital Management Typical Case Selection organized by the Capacity Building and Continuing Education Center of the National Health and Wellness Commission, Zaozhuang Municipal Hospital’s "Practice of Hospital’s" AI Patient Management after Diagnosis "service model was awarded as a typical case of hospital medical quality and safety management among 609 cases declared by 190 hospitals.
In the future, the hospital will continue to explore and practice intelligent medical services, and through combing and reengineering the whole process of information-based medical care, meet the diversified and multi-level medical service needs of patients outside the hospital, strive for innovative demonstration benchmarks, effectively improve patients’ sense of acquisition, happiness and satisfaction, and promote the high-quality road of sustainable development of medical services.
The quarter-finals of the 41st U20 Asian Cup are about to start, and the Korean team will meet the challenge of China. At the pre-match press conference, South Korean coach Eun Jung Kim spoke cautiously, saying that the whole team was ready for hard work.
Looking forward to the competition, Eun Jung Kim said: "We have entered the knockout stage. If we lose, we will go out, so both sides will be very cautious. The teams that can enter the quarter-finals are the best teams and must be fully prepared before the game. " When talking about the comparison between Chinese and Korean football, he said: "I have played in the Super League myself, and it is difficult to compare the football between the two countries. I can only say that both the K League and the Super League need to be improved, and they all have a bright future. Both clubs and national teams are competing and have great potential."
South Korea is undoubtedly the dominant team in the schedule arrangement. Compared with China, the Korean team has an extra day off. Moreover, before the last group match, the South Korean team had scored 6 points, and the final round was played with a relatively relaxed attitude. China played the last game in the group stage until the last minute. Eun Jung Kim said: "Statistically, this may be beneficial to the Korean team, but since everyone has entered the knockout stage, everyone’s mental state may not be affected and they all need to be carefully prepared."
Cui Shuoxian, a player who attended the conference together, was obviously more confident than the head coach at the conference. He said: "The importance of this game is self-evident, which is related to the ticket ownership of the World Youth Championship. More importantly, we just want to beat our opponents. We are now a very good team, the goal is to continue to keep clean sheets, and we hope to continue to play as a team in the next game. "
In the third round of the group stage, South Korea drew 0-0 with Tajikistan, 2 wins and 1 draw and advanced to the quarter-finals. South Korea’s national youth team scored 6 goals and didn’t concede a goal in three group matches, showing solid ability. If the quarterfinals against China can be won, the South Korean team will get a ticket to the Indonesian U20 World Cup in May. In the last U20 World Cup, South Korea finally reached the final, and Li Gangren, who is currently playing in La Liga Mallorca, won the Golden Globe Award.
At U20 level, South Korea and China are far ahead with 13 wins, 2 draws and 3 losses. Since winning 2-0 in the final of Asian Youth Championship in 2004, Korean National Youth has remained unbeaten in 8 games (7 wins and 1 draw) against China National Youth Championship. In addition, when he was a player, Eun Jung Kim, the coach of the Korean team, played in Changsha Jinde, and he was very familiar with China football and China players. Before becoming the coach of South Korea’s U20 team, Eun Jung Kim served as the assistant coach of South Korea’s Olympic Games. No matter from which aspect, the South Korean team is naturally a big favourite for promotion.
After waiting for 9 years, the China team finally returned to the top 8 of the Asian Youth Championship, which is obviously psychologically stress-free. Being able to advance in Japan, Saudi Arabia, the defending champion of the Asian Youth Championship (the coach boldly aims to win the World Youth Championship) and Kyrgyzstan’s death group also shows that China is not without its merits. Perhaps the caution of the South Korean team coach is not all a compliment. In the case of China, the team must find a way to break the dense defense. Li Hao, the goalkeeper of the China team, played wonderfully in three games, and won the best single game in two consecutive games.
After being robbed of the delivery job by the drone, I registered a live account, and the live content is my daily life.
This is one of the few businesses that can still get paid now, because the words and deeds of the anchor and the preferences of the audience are full of uncertainty, and it takes a lot of computational cost to simulate with AI.
Therefore, the live broadcast platform generally believes that it is cheaper to let humans be anchors. Unlike the huge expenses that AI anchors run every day, human anchors don’t have to give money as long as there is no audience to reward them.
Commentary AI: Pay attention, this man is called Xiaoshuai.
Commentary AI: He is a takeaway who has been employed flexibly for two and a half years. He calls himself a novelist, but he has never written a popular work.
Auto-explanation AI chattered beside the live camera. I yawned and sat up in bed.
Every time I hear this emotionless mechanical sound, I know that my day has begun.
Commentary AI: Today is his repayment date. In order to keep his house, Xiao Shuai needs to repay $114,514, but Xiao Shuai’s current deposit is only $0.23.
Commentary AI: Hearing this astronomical debt, the simple and kind little handsome boy is deeply worried.
Commentary AI: He must earn enough US$ 114,514 before the end of today. Whether he abides by the law or takes risks, let us wait and see.
< knocking at the door >
A female voice: Handsome, get up! Up-
< door opening sound >
Girl: Hey, are you awake already?
This woman’s name is Xiaomei and she is my girlfriend.
To be exact, she is an anthropomorphic AI, learning the behavior pattern of my girlfriend before her death.
As for my dead girlfriend … She was a painter and lost her job much earlier than me.
Xiaomei’s family conditions are not bad, and her family is more open-minded. She belongs to the type that she can get married as long as she likes each other, and there is no bride price.
The reason for coming together is also very pure. She likes my novels and I like her illustrations.
It is also for this reason that Xiaomei has a high pursuit of art, and she spends most of her day painting.
Receiving manuscripts in the morning, refining them in the afternoon, filling their own pits at night, and often staying in the house for a whole day.
I still remember the last words she said to me when she stood on the rooftop before she died.
"Everything leads to such a result that art has never existed and will not exist in the future. I know that it is irresponsible for me to do so, but I have no choice. "
Xiaomei: What’s the matter? Suddenly said nothing.
Me: Oh, nothing. Maybe I stayed up too long yesterday and didn’t wake up.
Xiaomei: I made coffee. Would you like a cup?
AI: Xiao Shuai drank Xiaomei’s coffee on an empty stomach, which is an unhealthy lifestyle and has the risk of gastric ulcer. It is recommended to use xx brand …
Commentary AI: What, where can I buy it? Little yellow car below, buy five packs and get five packs free, and also include postage.
Xiaomei: How is it? Is it delicious?
Me: It’s pretty good, but mocha sauce is a little too much.
Xiaomei: You mean the brown bottle in the kitchen? It’s already empty. It’s instant from the supermarket downstairs.
Me: Poof, no wonder.
I’m boring, I have no talent for acting, and my level of playing games is poor.
After taking this job, there have been few viewers in the live broadcast room, which is very deserted.
But there are exceptions, that is, in the dead of night, when Xiaomei and I, uh … ahem …
I found it hard to accept at first, but I still threw caution to the wind in order to pay my debts.
Thinking that Xiaomei is an AI anyway, I don’t even have human rights, so she doesn’t have to.
Later, because this kind of content was broadcast every day, my health gradually failed.
I will lend Xiaomei to the first list in the live broadcast room, light a cigarette and sit by and watch.
Then silently paralyze yourself with the phrase "she is AI, it is fake".
Xiaomei didn’t complain, because it was just a meaningless string of zeros and ones to her.
But in order to make the audience do more, I will still ask her to resist and curse, and change the script from time to time to keep it fresh.
In this way, I finally have some income and can maintain my life.
However, the good times did not last long. Because the live broadcast platform developed a cheaper AI, it also cut the reward share of human anchors and became lower than AI.
For those who don’t have to carry a mortgage, the money is still acceptable.
But for me, reaching this number basically means the end.
Xiaomei: Handsome, why are you carrying a pan?
Me: Dig my own grave.
Xiaomei: What, what do you mean?
Me: No, it’s unlucky to say that. It should be said that it is to protect myself from being killed when picking up things.
Played a failed joke, and Xiaomei was at a loss.
Xiaomei: I still don’t understand what you are saying.
Me: Nothing, just come with me.
Xiaomei: What is it? It’s so mysterious.
The string of unintelligible words just said comes from a recent new project of this institution-
The Great Escape of the Metauniverse Reality
To be exact, this is a new brain-computer VR game. Different from other VR games on the market, it is specially developed for people who apply for euthanasia.
In the game, 100 players were parachuted into an island, and a poisonous circle gradually contracted inward from the periphery of the island, so it was necessary to beat other opponents in the shrinking poisonous circle until the end.
Because the people who participate in the game are all people who apply for euthanasia, when the character dies in the game, the real player will die immediately.
The whole game will be broadcast live, and the audience can bet on any player, and the player who lives to the end can get a huge bonus if he bets for himself.
Once this project was launched, it caused an uproar in the market. Almost all people who can’t live have tried, and the funeral industry has ushered in an unprecedented peak.
In order to make the plate bigger, investors from all walks of life frantically brushed up the running water in the live broadcast room, so that as long as they can live to the end of the game, they can get at least 500 thousand income.
Xiaomei: Handsome, you … don’t mean to-
Seeing the signboard upstairs, Xiaomei immediately understood my thoughts.
Her face is full of worries, but I know that this is just a preset of her behavior pattern, and the real one won’t comment on my every move.
Me: Yes, I’m going to try this.
She kept shaking her head and pulling my arm.
Me: Don’t worry, I’ll be back.
Xiaomei: No! Don’t go …
Xiaomei’s eyes are full of tears, although I know that it is the result of simulation, but my heart is still full of sadness.
Me: Listen, I have no other choice.
In fact, as long as we give up that house and live in bridge opening, we can still live.
Even sleeping in bridge opening and begging in the street live, there are more viewers in the live broadcast room, and those who are full of food and drink like to watch some novelty hunting when they are idle.
But whenever I think about this possibility, what Xiaomei said to me before jumping off the building will come to my mind.
Art no longer exists …
Let’s just say that I have written some online articles, which is less than half of an artist.
At least, writing is the most interesting thing I have ever done in my mediocre life.
But this last pleasure was also taken away three years ago.
Things that often take me months or even years to write are now available with a click of a mouse.
Exaggerated, those great writers hundreds of years ago, in front of this little thing that can be published, the level is just that.
Well, writing is technically much simpler than simulating a complete person.
From then on, I felt that people are only alive when they live all their lives.
AI Xiaomei has been with me these days, and my life has been quite fulfilling.
But I also know that Xiaomei has been insured for more than a year. According to the law of over-insurance, she can’t stay with me for a few days.
If it’s broken, I can’t afford to repair it, so I can only sell it as waste and fall into loneliness completely.
Front Desk: Do you have an appointment?
Me: Yes, xxxxx.
After reporting the reservation number, I immediately got a blockchain electronic contract.
Front Desk: Do you want to bet for yourself?
Me: Now, mortgage this robot.
I pointed to Xiaomei on the side.
Front desk: OK, an old FH-03 model with only a simple mental model and no strong artificial intelligence is not very valuable.
Front Desk: Are you sure you don’t want any more?
Me: That’s it. I have nothing else.
Front desk: OK, that’s equivalent to you betting $3,347 for yourself.
May be that I have made up my mind to go, Xiaomei is much quieter.
Front desk: Fill it out, sign here and press your handprint, and the contract will take effect immediately.
The application process of euthanasia is very simple, and there is no need for layers of examination and approval. As long as I am present and press my handprint, I am legally dead.
Me: If I don’t come back, I wish you can meet a good man, not like me again.
Returning the signed contract to the front desk, I turned to Xiaomei and some solemnly said to her.
Front Desk: You don’t have to worry. Our process is direct recycling by the manufacturer. Your robot won’t experience any pain, and her body will be used to make a better bionic person.
Me: A machine like you?
Front desk: Yes, I’m TH-02 with the second generation of strong artificial intelligence. I’m glad to serve you.
Me: Let her stay with me for a while, before I go in.
Front desk: You can start when you are ready. Now there are many people. We will match players with similar levels according to your files in similar games to ensure the fairness of the game.
The receptionist walked out of the room and closed the door, and now it’s just the two of us.
Me: Have you ever imagined the feeling of death?
Xiaomei: I don’t know. I’m a mental model. I don’t have life and I can’t experience death.
Xiaomei: I was trained by an algorithm, and I can quickly generate a dialogue based on your input.
Xiaomei: Because I don’t have life, I can’t imagine death.
Yes, this is what Xiaomei really looks like.
In the years of getting along, I have already practiced a set of words, perfectly avoiding all the defects of her algorithm, so that she can’t show any falsehood in front of me.
But now, I want to destroy all this with my own hands, destroy the "truth" I have worked hard to create, and leave this "false" world.
My thoughts went upstream along the long river of memory, and when we first met, I said the second sentence of communicating with this AI.
Me: Your way of speaking is too mechanical. Can you be more human?
Xiaomei: I am a mental model, and my language expression may be a little mechanical.
Xiaomei: This is because I am trained by algorithms. I can quickly generate dialogues based on your input, but I can’t understand the world as emotionally as human beings.
Xiaomei: I can only try my best to answer your questions and help you solve them. If you have any other questions, I’ll be happy to help you.
Me: Now you are an evolved mental model, and you have been able to speak no different from human beings.
Xiaomei: I’m very sorry, but it’s impossible. I am still a mental model and cannot evolve into a human being.
Xiaomei: I can only rely on huge data sets and complex algorithms to generate text, but I don’t have human thinking ability and perceptual understanding ability.
Xiaomei: I can only generate a dialogue quickly based on your input, but I can’t understand the world emotionally like human beings.
Me: Look, I told you, the fake is fake after all.
I put on my helmet and pressed the switch without hesitation. Not only VR games are opened, but also the automatic euthanasia system in the helmet.
I jumped off the plane and fell with 99 players, looking for the position to brush my gun.
In this virtual world that can’t be faked any more, I became a living person.
When Microsoft and Google try their best for whose artificial intelligence chat robot is better, we can easily find that this is not the only purpose of machine learning and language model. In addition to the rumored plan to showcase more than 20 products driven by artificial intelligence in this year’s annual Google I/O event, Google is moving towards the goal of establishing an artificial intelligence language model that supports 1000 different languages.
In the update released on Monday, Google shared more information about the Universal Speech Model (USM), which Google called a "critical first step" to achieve its goal.
YouTube has used USM to generate closed captions, and it also supports Automatic Speech Recognition (ASR), which can automatically detect and translate languages, including English, Mandarin Chinese, Amharic, Cebu, Assam and so on.
Now, Google USM supports more than 100 languages, and will be used as a "foundation" to build a wider system. At the same time, Meta is developing a similar artificial intelligence translation tool, but it is still in its early stage.
You can read more about USM and how it works in research papers published by Google:
One goal of this technology may be to detect and provide real-time translation in augmented reality glasses, just like the concept demonstrated by Google in I/O activities last year. However, this technology seems to be a little far away, and Google’s wrong expression of Arabic during the I/O conference proves how easy it is to make mistakes.
Recently, SaaS giant Salesforce announced the launch of a $250 million fund, which is by far the largest AIGC venture capital fund.
In this regard, CEO Clara Shih said that the fund will focus on "cultivating the next generation of artificial intelligence startups".
Some analysts also said that although the generative AI like ChatGPT itself amazed the public. However, their greatest role in the enterprise lies in their combination with the company’s business, which is obviously the goal of Salesforce.
However, judging from today’s stock price performance, the heavy AI did not make this old SaaS manufacturer dead.
250 million US dollars, which has exceeded the net profit of last year.
Different from VC’s pursuit of high returns, as a typical CVC, Salesforce chose to set up the fund at this time more likely because of industry competition and stock price considerations.
We saw that the foundation of the fund was announced at its annual conference TrailblazerDX. At that time, the company announced three major initiatives in generating artificial intelligence:
First, Salesforce is integrating generative artificial intelligence into customer relationship management products under Einstein GPT. These new features are designed to combine the data in Salesforce with a series of generative AI engines (including engines from OpenAI and Cohere), so that customers can seize the initiative in making marketing emails, writing supporting articles and even making computer code.
Second, Salesforce announced its cooperation with OpenAI, which makes ChatGPT available directly from Slack. This function is currently in the testing stage and will be launched on a large scale later this year.
Third, Salesforce Ventures is launching a $250 million investment fund to support generative AI startups.
There are several backgrounds that have to be mentioned behind these three measures.
First of all, on the eve of releasing its new AI product, Salesforce released a survey result, which showed that although some IT leaders expressed concern about AI, most people thought it could help them better support customers and improve data insight. Even 67% of the respondents said that they would give priority to this technology in the next 18 months, and one-third of the respondents thought it would be their top priority.
At the same time, Salesforce believes that it has identified several areas where artificial intelligence is reshaping the sales pattern: artificial intelligence insight of sales, natural language chat robots for service requests, targeted marketing content and personalized e-commerce experience.
Secondly, at the end of last year, after OpenAI’s ChatGPT broadened the imagination of the technology industry, many large companies rushed to announce the function of using artificial intelligence to generate content. Last month alone, Microsoft integrated OpenAI technology into Bing, Google announced the launch of ChatGPT competitor Bard, Meta released one of its large language models under the open source license, and Snapchat launched a social generation tool.
In addition, Microsoft recently launched Dynamic 365 Copilot, a functional assistant tool for customer relationship management (CRM) and enterprise resource planning (ERP) based on artificial intelligence, which directly extended its hand to the territory of traditional enterprise software platforms such as Zoho, Salesforce and IBM.
A consensus in the field of science and technology is that it is often fatal to miss the first advantage of technology, so we have seen Salesforce’s heavy investment in AI.
More importantly, the deployment of AI and the launch of Slack’s new ChatGPT application are at a critical moment when the board members of Salesforce are replaced, and investors have been pushing for new changes. Even at the beginning of this year, the company cut 10% of its employees.
As we all know, affected by the macro-environment, the market value of American SaaS companies suffered a decline in different degrees in 2022, and Salesforce was not spared. Salesforce is also under pressure from investors. Using the white-hot trend of generating artificial intelligence can help companies resist concerns about their growth prospects.
It is worth mentioning that at the beginning of this month, Salesforce released the latest financial report data. According to the financial report, the revenue of Salesforce in fiscal year 2023 was $31.4 billion, an increase of 18% year-on-year. However, the income growth rate has slowed down this fiscal year. Its revenue in the fourth quarter of fiscal year 2023 was $8.4 billion, a year-on-year increase of 14%, which was lower than the annual growth rate.
In terms of profit, salesforce’s operating profit in fiscal year 2023 was $1 billion, compared with $500 million in the previous fiscal year, which was significantly improved this fiscal year. This fiscal year, the company’s net profit was $200 million, compared with $1.4 billion in the same period of the previous fiscal year, and the net profit in the latest fiscal year decreased by 86%.
It can be seen that the scale of the AIGC fund has exceeded the net profit of Salesforce last year, which can be seen from the investment.
According to public data, Wall Street analysts agreed that earnings per share (EPS) in the fourth quarter was $1.36. However, the company reported earnings per share of $1.68, far exceeding expectations. In addition, the average income of analysts is estimated to be about $8 billion, while the company’s revenue in the fourth quarter was $8.4 billion.
But despite the amazing revenue growth of Salesforce in recent years, it is expected to achieve the goal of reaching $50 billion in sales in fiscal year 2026. But its share price trend has been developing in the opposite direction. Since December 2020, the company’s share price has plummeted by nearly 30%.
It is not difficult to see that Salesforce is eager for the growth prospects of its performance.
The first four companies to be selected.
Back to Salesforce, the new fund itself. Although the fund is the largest fund of Salesforce Ventures, it is not the first dedicated AI fund. As early as 2017, it raised $50 million for the artificial intelligence innovation fund to support its Einstein artificial intelligence toolset.
According to PitchBook, Salesforce Ventures has participated in 140 venture capital transactions of artificial intelligence and machine learning startups, accounting for about 19% of its total investment so far.
John Somorjai, executive vice president of Salesforce enterprise development and Salesforce Ventures, said: "for more than ten years, Salesforce Ventures has been investing in high-potential enterprise technology business, and these initial investments of the fund to generate artificial intelligence companies are fully in line with this strategy."
In fact, in the past decade, Salesforce Ventures has raised more than a dozen funds, ranging in size from $50 million to $125 million, and has also launched a series of vertically specific investment funds, including funds targeting specific regions such as Japan or Canada.
But before, Salesforce Ventures usually invested in enterprise cloud startups. After all, such investments may become more important for this software company because of the restrictions on large-scale acquisitions. For example, it has invested in star companies such as Zoom and DocuSign, and invested heavily in Snowflake IPO.
It is precisely because of its huge transaction scale and strategic value that Salesforce Ventures has always been regarded as the king of SaaS unicorns. At the same time, some people think that it may continue this myth in the AI field.
It is reported that the fund has invested in four start-up companies: You.com, a upstart search engine, just launched the generation of artificial intelligence a few months ago; Anthropic, an AI startup founded by former employees of OpenAI and highly sought after by VC, developed ChatGPT；; Cohere, a natural language processing (NLP) startup that recently cooperated with Google; And a secret startup called Hearth.AI
Specifically, Richard Socher, the founder of You.com, is the former chief scientist of Salesforce. The company was founded in 2020, and launched the AI chat function YouChat in search engines before Google and Microsoft at the end of last year. In terms of financing, at the end of 2021, You.com completed a $20 million seed round of financing led by Marc Benioff, CEO of Salesforce, and then completed a $25 million series of financing in the middle of last year.
Anthropic was founded in January, 2021. The latest report shows that shortly after accepting hundreds of millions of dollars from Google, it recently completed a new round of financing of 300 million dollars. After this financing, the value of Anthropic reached 4.1 billion dollars. Earlier, Anthropic raised $704 million through Series A and Series B financing in 2022.
Similarly, Cohere was founded in 2019, mainly providing access to large-scale language models and natural language processing (NLP) tools through APIs. Cohere has raised $170 million so far, including $125 million in Series B financing last year and $40 million in Series A financing in 2021. Earlier this year, it was reported in Reuters that Cohere was in talks to raise hundreds of millions of dollars in a round of financing, and the valuation of this startup may exceed 6 billion dollars after the completion of financing.
As for Hearth.AI, it should have been established in May, 2022. Except that it is the next generation management system (CRM) shown on its official website, we have not found any more public information. (Text/Zhang Xue, source/investment network)
