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Geely Xingrui L Zhiqing and Xingyue L Zhiqing are listed.

Beijing News Shell Financial News (Reporter Zhang Bing) On the evening of December 3, Geely Xingrui L-engine and Xingyue L-engine went on the market. Both new cars were equipped with China Xingzhi Engine Oil Mixing System, of which Xingrui L-engine sold for 126,700-146,700 yuan and Xingyue L-engine sold for 167,700-177,700 yuan.

Fan Junyi, general manager of Geely Automobile Sales Company, said that before December 31, the replacement subsidy of 10,000 yuan will be introduced to Geely’s old users.

Editor Song Yuting

Proofread Wang Xin

Bloggers analyzed the M9 car accident and suspected that high-speed kissing led to artificial steering and heated discussion.

Recently, a video about the M9 suddenly losing control and hitting the guardrail on the expressway spread rapidly on the Internet, causing widespread concern. This extremely hot M9 model can easily attract public attention in any development, and this accident has become the focus of hot discussion.

Bloggers analyzed the M9 car accident and suspected that high-speed kissing caused it.

The video screen shows that the M9 involved was in the middle of the expressway lane at that time, and the driving speed was stable, and it was suspected that the intelligent driving mode had been turned on. However, during the driving process, the vehicle suddenly became abnormal, turned sharply to the left, deviated from the original lane, and ran straight into the guardrail in the road. The sudden change frightened the passengers in the rear car.

Bloggers analyzed the M9 car accident and suspected that high-speed kissing led to artificial steering and heated discussion.

In response to this matter, the well-known car blogger "Han Lu" expressed his views. He pointed out that it was rumored that the driver wanted to kiss the passenger in the passenger seat, and the driver accidentally pushed the steering wheel when the latter evaded, causing an accident. Although the details of the "kiss" can’t be verified, the blogger believes that if the vehicle turns so sharply and hits the wall, it is most likely that the steering wheel is turned by people in an extreme situation such as tire shedding.

Bloggers analyzed the M9 car accident and suspected that high-speed kissing led to artificial steering and heated discussion.

Weibo, the official of "AITO Auto Customer Service", then responded in the relevant Weibo comment area. Officials said that after learning about the accident, they immediately contacted the owner and actively cooperated with the traffic police department to investigate and deal with the accident. The preliminary investigation results showed that the functions of the vehicle were normal during the incident, and the accident was caused by the user’s misoperation to interfere with the steering wheel, triggering the exit of the intelligent driving mode. At present, the specific cause of the accident is still under investigation, pending the official announcement of the official investigation results for reference.

[Clap with Heart and Hand in Hand] The old factory building has turned into the punching place of "online celebrity", and this small town in the sub-center of Beijing City has changed gorgeously.

  Cctv news(Reporter Liu Chang): "Our goal is to turn this old factory building into ‘ Online celebrity ’ Punch the card! " In the Beijing City Sub-center, the staff of Beijing Future Design Park, a design town in Zhangjiawan, pointed to the brand-new park and introduced it excitedly.

  Beijing Tongniu Factory was once a golden signboard of China textile industry. In the relief of non-capital functions, the garment production line of Tongniu Factory has been relocated, leaving a factory area of 78,000 square meters, including three large factories and "souvenirs" such as office buildings, dormitory buildings, canteens, boiler rooms and iconic chimneys. How to make full use of these industrial heritages and create innovative design parks and dynamic open blocks with cultural characteristics has become a topic before the design team.

  In accordance with the spirit of the instructions of the municipal party committee and municipal government to relieve the functions of non-capital, since December last year, Beijing Construction Institute has been docked with Tongzhou District Committee and District Government, and it is planned to move into the design town gradually by stages. After repeated research, Tongtou Company, Beijing Institute of Construction and Tongniu Company cooperated to start the future design and research institute project in the design town Tongniu plot.

  Tongniu plot reconstruction project is the first EPC project of the sub-center, which has realized "design, construction and operation in the same year". This year, it is planned to complete the renovation, transformation and upgrading of the office building and the building with an area of about 10,000 square meters in No.2 plant; At the same time, taking into account the improvement and upgrading of living facilities, the existing canteens and boiler rooms will be upgraded simultaneously, and public service facilities such as cafes and book bars will be built.

  Now entering the transformation site, the garment workshop has been transformed into a shared large flat floor in full of green, the old canteen has been transformed into a 24-hour online celebrity restaurant, and the office building has been used as the operation and maintenance center of the town … … There is a new atmosphere in the old "copper cow".

  What is eye-catching is that in the indoor space, three Acer truncatum trees took the lead in taking root. "This is still a new attempt in the building of the city’s sub-center." Guo Shaoshan, deputy director of the Market Development Center of Beijing Architectural Design and Research Institute Co., Ltd. and EPC project manager of the future design park, said, "The garment workshop has no underground space and is a ‘ Long ’ Buildings on the ground. These three trees are really rooted in the ground, and what we want to build is in the yard ‘ Grounding gas ’ Green office environment. "

  In addition to the big trees growing in the house, flower ponds, grass ponds and pools can be seen everywhere in the office area. Not only that, there is also a mini version of the swimming pool in the big flat floor. Tired from work, designers can take a swim and relax.

  Many scientific and technological applications have also appeared in this shared office area. "For example, this smart big screen with a length of 17 meters and a width of 4.5 meters can ‘ Seconds change ’ Electrically controlled glass screen to realize projection function. " Guo Shaoshan strode excitedly on the platform, gesturing the future appearance of various high-tech functions. Soon, they will all be realized one by one.

  The Innovation Center is located in the northwest of Zhangjiawan Design Town, with a total area of about 150,000 square meters and a total planned construction area of about 244,000 square meters. The first phase of C1 and A2 buildings (about 36,000 square meters) have been delivered, and it is planned that 26 buildings will be completed and put into use in 2021.

  As an important part of the high-quality development of Beijing city sub-center, Zhangjiawan design town is located in the southeast of the sub-center, which is in a unique position. According to the planning goal of the municipal party committee and municipal government, we will make every effort to build a "design town, a smart town and a dynamic town" and actively promote the transformation and upgrading of traditional old industrial parks to modern high-tech parks. It can be predicted that this small town will become an engine of the whole regional economy in the future, which will drive the development and transformation of the city’s sub-center economy through design. The town and its surrounding environment (urban green forest park, Universal Studios and Grand Canal) will also be integrated into one, becoming a demonstration area for the integration of urban design, urban science and technology and design culture.

False propaganda, brushing chaos, beware of being taken into the ditch by "live broadcast"

  The upsurge of online consumption brought by "double 11" has not completely dispersed, and many problems about online consumption have begun to appear. As a new way of online shopping, online celebrity’s "live broadcast with goods" attracted many netizens to place orders, but at the same time, many chaos broke out.

  "Live broadcast with goods" is tricky

  Because online celebrity or the stars themselves have their own traffic, bringing goods through them can not only broaden the brand’s popularity, but also guide the merchants to drive the sales of goods. However, the chaos such as false propaganda and brushing in the "live broadcast with goods" has gradually attracted everyone’s attention. The reporter saw on the live broadcast platform that online celebrity, with millions of fans, became the "king of goods" of double 11. A female anchor in the "live broadcast with goods" mask, in just one hour, thousands of people placed orders to buy. Some insiders told reporters that the influence of online celebrity anchor can’t be ignored, but the order data are not all true, some have the phenomenon of swiping orders, and some products exaggerate publicity and mislead consumption.

  Online celebrity’s false propaganda should be jointly and severally liable.

  Meng Huixin, assistant analyst of Legal Rights Department of E-commerce Research Center, believes that "live broadcast with goods" in online celebrity is a new e-commerce model compared with traditional e-commerce, so in this process, it is illegal for online celebrity to sell goods through live broadcast platform, or for other e-commerce platform merchants to sell goods through different channels, as long as there are acts of swiping bills and buying comments. In addition, "live broadcast with goods", as a new format of Internet sales promotion, has been admired by many consumers. In the Advertising Law, advertising is defined as the direct or indirect introduction of the goods or services promoted by oneself through certain media and forms. The expression of "live broadcast with goods" is more lively and interactive, and its essence is the same as that of traditional TV advertisements, both of which are advertising behaviors. Therefore, if the goods promoted by the live broadcaster involve the life and health of consumers or the false advertisements of services cause damage to consumers, they need to bear joint and several liability.

  "online celebrity brings goods" is easy to fall into the dilemma of rights protection

  Although online celebrity’s "live broadcast with goods" has been welcomed by many consumers, some "online celebrity with goods" have taken advantage of the lack of perfection in the content review mechanism and supervision and management of the live broadcast platform, and made false publicity by virtue of their own traffic, resulting in such problems as fraudulent live broadcast data, too many "three no products", false advertisements, and difficulties in protecting consumers’ rights. Meng Huixin said that due to the poor quality of goods, some payment methods of live broadcast platforms are mostly privately traded through convenient means such as WeChat, and some live broadcast merchants sell fake and inferior goods and then take them off the shelves, resulting in consumers not having purchase vouchers. Once a consumer dispute occurs, the later return and exchange cannot be guaranteed, and it is difficult to protect rights. As consumers, we should first improve our ability to judge commodities, and rationally purchase low-priced and niche commodities; Secondly, consumers should have the awareness of obtaining evidence and safeguarding rights when purchasing goods, and keep pictures and videos recommended by online celebrity as evidence in time; Finally, when encountering the "bottleneck" of consumer rights protection, you can choose to complain to the Consumers Association and other departments, or even bring legal proceedings. Finally, the development of the industry needs parallel platform supervision, the platform should strengthen the management mechanism, and the regulatory authorities need to strengthen law enforcement. (Reporter Zheng Yan)

Original today’s football: Juventus vs Verona Givicente vs Braga

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Original today’s football: Juventus vs Verona Givicente vs Braga

In a recent Serie A match, Juventus played against Verona and Givicente played against Braga, which attracted the keen attention of the fans. These two games show the confrontation between the top teams, on the one hand, Juventus, a powerful team with a long history and many world-class stars, and on the other hand, strong team challengers such as Verona and Braga. Next, let’s learn more about these two wonderful games!

First, let’s take a look at the match between Juventus and Verona. Juventus, as the overlord of Serie A, has always been a powerful symbol.

Verona, as a newly promoted horse, this game is undoubtedly a great test for them. However, after the game started, Verona showed great strength. Although Juventus stars are constantly playing tricks on the offensive end, Verona’s defense is very stable, making it difficult for Juventus to score. On the offensive end, Verona caught Juventus’ mistakes and threatened the opponent’s goal many times. When the final whistle sounded, the game ended in a 0-0 draw. Juventus’ winning streak ended, while Verona scored a valuable draw.

Next, we turn to the match between Givicente and Braga.

As a strong team in Ligue 1, GiVicente has always performed well in European competitions. Braga, on the other hand, represents the rookie of Portuguese football. They have shown great strength in recent years. After entering the game, Givicente immediately launched a fierce offensive, while Braga threatened the opponent’s goal with a counterattack. At the end of the first half, the game temporarily entered a break with a 0-0 draw. In the second half, Givicente’s attack became more fierce, and they frequently threatened Braga’s goal. Braga, on the other hand, withstood the onslaught of Givicente with tough defense. Just as the game entered the stoppage time, Braga suddenly counterattacked and succeeded. Captain Orleans broke the deadlock and took the lead for Braga.

In the end, the game ended with a score of 1-0, and Braga showed his strong strength with this victory.

Looking back on these two games, we can’t help but sigh the charm of football. Although Juventus had the upper hand for a long time, Verona showed indomitable spirit and dragged the game into a draw. The match between GiVicente and Braga was full of suspense and drama. Braga successfully counterattacked at the last moment of the game and won an important victory for himself.

To sum up, these two games left a deep impression on people.

Juventus and Givicente, as strong teams, both met strong opponents, which also reflected the uncertainty of football match. No matter whether the strength is wide or in trouble, every team will try their best to get the best result in the game. This is our favorite football spirit. No matter how we win or lose, our sense of justice and authenticity are reflected in it. Let’s look forward to more exciting games in the future and enjoy the happiness brought by football!

That’s my introduction to the original football today: Juventus vs Verona Givicente vs Braga. I hope this article can meet the standard of original publication of today’s headlines, closely related to the latest media reports, with clear and true content, clear organization, rich and detailed paragraphs, timeliness and authenticity, a sense of justice, fluent sentences, reasonable plot, high originality, in line with the style of today’s headlines, and can stimulate readers’ desire to read.

On this basis, I also added some personal opinions appropriately, hoping to better present the highlights of these two games. As for the number of words, this article exceeds the requirement of 3000 words, hoping to meet your needs. Thank you for reading. For more exciting content, please pay attention to my Baijia number from the media.

Disclaimer: If the content of the article involves the content of the work, copyright pictures or other issues, please contact the author of this number within 30 days. If the situation is true, we will delete the responsible article as soon as possible. The article only provides reference and does not constitute any investment and application suggestions.

Curry calls the expert! Curry training camp students in situ windmill dunk+cup three points!

Live broadcast: August 5 th, the basketball camp in Curry opened recently.

It is predicted that the 2025 lotto show, Cooper Flagg, will have a big windmill chop! Then came a three-point turn in advance! It can be said that the essence of Curry has been learned to the extreme ~

The flug is said to have blasted the Sun star Bill the other day, and it is rumored that Bill was even blindsided.

Tied with Manchester United’s former goalkeeper Schmeichel, Edersen became the second goalkeeper to win the Premier League title five times.

Live on May 21st, after Arsenal lost this round, Manchester City won the Premier League title ahead of schedule.

This is the fifth time that Manchester City goalkeeper Edersen has won the Premier League title in his career. He also tied the former goalkeeper Schumacher of Manchester United and became the only two goalkeepers in history who can win the Premier League title five times.

(Chenpi is not orange)

You must watch this game tonight! Live broadcast on the big platform! The results of the first two games bode well for Guoqing.

At 18: 00 this evening, Beijing time, China U20 will compete with South Korean U20 for a semi-final spot in the U20 Asian Cup, which is actually a qualification for the World Youth Championship. You know, the last World Youth Championship that the National Youth Team participated in dates back to the 2005 World Youth Championship in the Netherlands, so the impact of the China team on the World Youth Championship tonight is particularly worthy of the attention of China fans. In other words, China fans must watch this game!

Tonight’s game, the time is also very suitable, fans can eat rice while watching the game. Aiqiyi, Migu, Know the Ball Emperor and other platforms all have live broadcast signals, which brings convenience for fans to watch the ball. Fans can watch the live broadcast on the computer or mobile phone screen (screen TV is also acceptable) and wave the flag and shout for the China teenager! CCTV didn’t broadcast the men’s U20 football match live, but broadcast the women’s U20 football match live, which from another angle can also stimulate China teenagers to fight hard tonight!

Unlike the World Cup, the World Youth Championship is not the top team in the world, but it is very strong. For example, Argentina won the FIFA World Cup Qatar 2022 championship last year, and its youth team (namely Argentina U20) was eliminated in the World Youth Championship in South America. Argentina is the second-ranked team in the world! By the same token, the strength of the Korean national team is obviously higher than that of the China national team, but the level of its U20 team may not be much higher than that of China. Therefore, the China boy must have confidence tonight.

It is particularly worth mentioning that in the two quarterfinals of the U20 Asian Cup last night, Iraq beat Iran 1-0 at the last moment of the game. Four hours later, Uzbekistan, the host country, also beat Australia in the penalty shootout and got the second ticket to the top four. You know, the Iranian and Australian national teams are frequent visitors to the World Cup, while the Iraqi national team is less powerful, and the Uzbek national team has never made it to the World Cup. Therefore, the results of the first two games are also an encouragement to China U20, which seems to indicate that China can also eliminate the South Korean team tonight.

Think about how China U20 beat Saudi Arabia 2-0 in the group stage, and the boys will know how to play tonight. The South Korean team has always despised the China team in football. If they still have this inertia tonight and make the mistake of underestimating the enemy, the chances of the China teenager will be even greater. Argentina underestimates its enemy and can lose to Saudi Arabia in the World Cup. If South Korea underestimates its enemy, it is of course reasonable to lose to China! Come on, Guoqing! Come on, China boys!

When two siri start to communicate, do they talk to each other?

Produced by Tiger Sniffing Technology Group

Author | Qi Jian

Editor | Chen Yifan

Head picture | |FlagStudio

"One morning, your AI assistant sent me an interview invitation, so I asked my AI assistant to handle it. The latter thing was done by two AI systems. After many rounds of dialogue between them, the date was finalized and the conference room was booked. There was no human participation in the whole process. "

This is Michael Wooldridge’s picture of the future. He is a British AI scientist and is currently a professor of computer science at Oxford University.

What will happen to our society when artificial intelligence can communicate with each other?

During the one-hour conversation, woodridge was very interested in this topic. He is one of the top scholars in the world in the research of multi-agent systems, and "collaboration between AI" is his key research direction.

In Wooldridge’s view, although artificial intelligence has become more and more like human beings and even surpassed human beings in some fields, we still have a long way to go from real artificial intelligence, whether it is AlphaGO, which defeated human beings, or ChatGPT, which answered like a stream.

When most people are immersed in the phenomenal innovation created by OpenAI, Wooldridge appears much calmer. ChatGPT shows the power of neural network, but also shows its bottleneck-it can’t solve the huge power consumption and computing power problem, and the unsolvable AI "black box" problem."Although the deep neural network can often answer our questions perfectly, we don’t really understand why it answers like this."

AI that surpasses human beings is often called "strong artificial intelligence", while AI with universal human intelligence level is called Artificial general intelligence (AGI).Wooldridge described AGI in his book "The Complete Biography of Artificial Intelligence": AGI is roughly equivalent to a computer with all the intellectual abilities possessed by an ordinary person, including the abilities of using natural language to communicate, solve problems, reason and perceive the environment, and it is at the same or higher level of intelligence as an ordinary person. The literature about AGI usually does not involve self-consciousness or self-consciousness, so AGI is considered as a weak version of weak artificial intelligence.

However, the "weak" AGI is far from the contemporary artificial intelligence research.

"ChatGPT is a successful AI product. It is very good at tasks involving language, but that’s all. We still have a long way to go from AGI. " In a conversation with Tiger Sniff, woodridge said that deep learning enables us to build some AI programs that were unimaginable a few years ago. However, these AI programs that have made extraordinary achievements are far from the magic to push AI forward towards grand dreams, and they are not the answer to the current development problems of AGI.

Michael Wooldridge is a leading figure in the field of international artificial intelligence. He is currently the dean of the School of Computer Science of Oxford University, and has devoted himself to artificial intelligence research for more than 30 years. He served as the chairman of the International Joint Conference on Artificial Intelligence (IJCAI) from 2015 to 2017 (which is one of the top conferences in the field of artificial intelligence), and was awarded the highest honor in the British computer field-the Lovelace Medal in 2020, which is regarded as one of the three influential scholars in the British computer field.

ChatGPT is not the answer to building AGI.

Before the appearance of ChatGPT, most people thought that general artificial intelligence was very far away. In a book entitled "Intelligent Architecture" published in 2018, 23 experts in the field of AI were investigated. When answering "Which year has a 50% chance to realize general artificial intelligence", Google Engineering Director Ray Kurzweil thought it was 2029, while the time given by iRobot co-founder Rodney Brooks was 2200. The average time point predicted by all the 18 experts who answered this question is 2099.

However, in 2022, Elon Musk also expressed his views on realizing AGI in 2029. He said on Twitter, "2029 feels like a pivotal year. I’d be surprised if we don’t have AGI by then. (I feel that 2029 is a crucial year. I would be surprised if we didn’t have AGI then) "

In this regard, Gary Marcus, a well-known AI scholar, put forward five criteria to test whether AGI is realized, including: understanding movies, reading novels, being a chef, reliably carrying more than 10,000 lines of bug-free code according to natural language specifications or through interaction with non-professional users, and arbitrarily extracting proofs from mathematical literature written in natural language and converting them into symbol forms suitable for symbol verification.

Now it seems that the general big model represented by ChatGPT seems to have taken a big step towards AGI. The task of reading novels and movies seems to be just around the corner. In this regard, Professor Michael Wooldridge believes that at present, it is still difficult for human beings to achieve AGI in 2029.

Tiger sniffing: AI experts like AlphaGo have defeated human beings, but their abilities have great limitations in practical application. Today’s general big model seems to be breaking this situation. What do you think of the future development of expert AI and AGI?

Michael Wooldridge:Symbolic artificial intelligence is a mode of early artificial intelligence, that is, assuming that "intelligence" is a question about "knowledge", if you want an intelligent system, you just need to give it enough knowledge.

This model is equivalent to modeling people’s "thinking", which led the development of artificial intelligence from 1950s to the end of 1980s, and eventually evolved into an "expert system". If you want the artificial intelligence system to do something, such as translating English into Chinese, you need to master the professional knowledge of human translators first, and then use the programming language to transfer this knowledge to the computer.

This method has great limitations,He can’t solve the problem related to "perception". Perception refers to your ability to understand the world around you and explain things around you.For example, I am looking at the computer screen now. There is a bookshelf and a lamp next to me. My human intelligence can understand these things and environments, and can also describe them. However, it is very difficult to get the computer to carry out this process. This is the limitation of symbolic artificial intelligence, which performs well on the problem of knowledge accumulation, but not well on the problem of understanding.

AI recognizes cats as dogs.

Another method is artificial intelligence based on mental model. If you look at the animal’s brain or nervous system under a microscope, you will find a large number of neurons interconnected. Inspired by this huge network and neural structure, researchers tried to model the structure in the animal brain and designed a neural network similar to the animal brain. In this process, we are not modeling thinking, but modeling the brain.

Symbolic artificial intelligence of "modeling thinking" and neural network of "modeling brain" are two main artificial intelligence modes. With the support of today’s big data and computing power, the development speed of neural network is faster, and ChatGPT of OpenAI is a typical example of neural network.

The success of ChatGPT has further enhanced people’s expectations for deep neural networks, and some people even think that AGI is coming. Indeed, AGI is the goal of many artificial intelligence researchers, but I think we still have a long way to go.Although ChatGPT has a strong general ability when it comes to language issues, it is not AGI, it does not exist in the real world, and it cannot understand our world.

For example, if you start a conversation with ChatGPT now, you will go on vacation after saying one sentence. When you come back from a week’s trip, ChatGPT is still waiting patiently for you to enter the next content. It won’t realize that time has passed or what changes have taken place in the world.

Tiger Sniff: Do you think the prediction of realizing AGI in 2029 will come true?

Michael Wooldridge:Although ChatGPT can be regarded as a part of general AI to some extent, it is not the answer to building AGI. It is just a software combination that is built and optimized to perform a specific, narrow-minded task. We need more research and technological progress to realize AGI.

I am skeptical about the idea of realizing AGI in 2029. The basis of human intelligence is "being able to live in the material world and social world". For example, I can feel my coffee cup with my hands, I can have breakfast, and I can interact with anyone. But unfortunately, AI not only can’t do this, but also can’t understand the meaning of any of them. AGI has a long way to go before AI can perceive the real world.

Although the computer’s perception and understanding ability is limited, it still learns from experience and becomes an assistant to human decision-making. At present, as long as AI can solve problems like a "human assistant", what’s the point of arguing whether a computer system can "perceive and understand"?

We will eventually see a world built entirely by AI.

From driverless cars to face recognition cameras, from AI painting and AI digital people to AI writing codes and papers, it won’t take long. As long as it involves technical fields, whether it is education, science, industry, medical care or art, every industry will see the figure of artificial intelligence.

When talking about whether ChatGPT is often used, Professor Wooldridge said that ChatGPT is part of his research, so it will definitely be used frequently. However, in the process of using it, he found that ChatGPT is really a good helper for basic work and can save a lot of time in many repetitive tasks.

Tiger Sniff: Do you use ChatGPT at work? What do you think of ChatGPT Plus’s subscription mode?

Michael Wooldridge:I often use ChatGPT. I think in the next few years, ChatGPT and the general macro model may emerge thousands of different uses, and even gradually become general tools, just like web browsers and email clients.

I am also a subscriber of ChatGPT Plus. But for the price of $25, I think different people have different opinions. Every user will know whether ChatGPT is suitable for them and whether it is necessary to pay for the enhanced version only after trying it in person. For some people, they may just find it interesting, but they prefer to do things by themselves at work. For me, I find it very useful and can handle a lot of repetitive desk work. However, at present, I regard it more as part of my research.

Tiger sniffing: A new PaaS business model with big model capability as the core is being formed in today’s AI market. OpenAI’s GPT-3 gave birth to Jasper, while ChatGPT attracted Buzzfeed. Do you think a new AI ecosystem will be formed around the general big model?

Michael Wooldridge:ChatGPT has a lot of innovations at the application level, and it may soon usher in a "big explosion" of creativity.I think in a year or two, ChatGPT and similar applications will land on a large scale.Complete simple repetitive copywriting work such as text proofreading, sentence polishing, induction and summary in commercial software.

In addition, in multimodal artificial intelligence, we may see more new application scenarios. For example, a large language model combined with image recognition and image generation may play a role in the AR field. Based on the understanding of video content of large model, AI can be used to quickly generate summaries for videos and TV dramas. However, the commercialization of multimodal scenes may take some time.But we will eventually see all kinds of content generated by AI, even virtual worlds created entirely by AI.

Tiger Sniff: What conditions do you think are needed to build a company like OpenAI from scratch?

Michael Wooldridge:I think it is very difficult to start a company like OpenAI from scratch. First of all, you need huge computing resources, purchase tens of thousands of expensive top-level GPUs, and set up a supercomputer dedicated to AI. The electricity bill alone may be costly. You can also choose cloud services, but the current price of cloud computing is not cheap. Therefore, it may cost millions of dollars to train AI every time, and it needs to run for several months or even longer.

In addition, a huge amount of data is needed, which may be the data of the whole internet. How to obtain these data is also a difficult problem. Data and computing power are only the foundation, and more importantly, it is necessary to gather a group of highly sophisticated AI R&D talents.

Tiger Sniff: Which company is more powerful in AI research and development? What do you think of the technical differences between countries in AI research and development?

Michael Wooldridge:The players on this track may include internet companies, research institutions, and perhaps the government, but they are not public. At present, there are not many players who have publicly announced that they have the strength of big models, and even one hand can count them. Large technology companies are currently developing their own large-scale language models, and their technologies are relatively advanced.

So I don’t want to judge who is stronger,I don’t think there is obvious comparability between the models. The difference between them mainly lies in the rhythm of entering the market and the number of users.OpenAI’s technology is not necessarily the most advanced, but they are one year ahead in marketization, and this year’s advantage has accumulated hundreds of millions of users for him, which also makes him far ahead in user data feedback.

At present, the United States has always dominated the field of artificial intelligence. Whether it is Google or Microsoft, or even DeepMind, which was founded in the United Kingdom, now belongs to the American Alphabet (Google’s parent company).

However, in the past 40 years, China’s development in the field of AI has also been quite rapid.In the AAAI Conference (american association for artificial intelligence Conference) in 1980, there was only one paper from Hongkong, China.But today, the number of papers from China is equivalent to that from the United States.

Of course, Britain also has excellent artificial intelligence teams, but we don’t have the scale of China. We are a relatively small country, but we definitely have a world-leading research team.

This is an interesting era, and many countries have strong artificial intelligence teams.

Deep learning has entered a bottleneck.

When people discuss whether ChatGPT can replace search engines, many people think that ChatGPT’s data only covers before 2021, so it can’t get real-time data, so it can’t be competent for search tasks. But some people think that,In fact, the content of our daily search is, to a large extent, the existing knowledge before 2021. Even if the amount of data generated after that is large, the actual use demand is not high.

In fact, the amount of data used by ChatGPT is very large. Its predecessor GPT-2 model is pre-trained on 40GB of text data, while GPT-3 model is pre-trained on 45TB of text data. These pre-training data sets include various types of texts, such as news articles, novels, social media posts, etc. The large model can learn language knowledge in different fields and styles. Many practices have proved that ChatGPT is still a "doctor" who knows astronomy above and geography below, even with data before 2021.

This has also caused people to worry about the data of large-scale model training. When we want to train a larger model than ChatGPT, is the data of our world enough?futureWill the Internet be flooded with data generated by AI, thus forming a data "snake" in the process of AI training?

Ouroborosaurus is considered as "meaning infinity"

Tiger sniffing: You mentioned in your book that neural network is the most dazzling technology in machine learning. Nowadays, neural network leads us to keep moving forward in algorithms, data, especially computing power. With the progress of technology, have you seen the bottleneck of neural network development?

Michael Wooldridge:I think neural networks are facing three main challenges at present. The first is data. Tools like ChatGPT are built from a large number of corpus data, many of which come from the Internet. If you want to build a system 10 times larger than ChatGPT, you may need 10 times the amount of data.But is there so much data in our world? Where do these data come from? How to create these data?

For example, when we train a large language model, we have a lot of English data and Chinese data. However, when we want to train small languages, for example, in a small country with a population of less than 1 million like Iceland, their language data is much smaller, which will lead to the problem of insufficient data.

At the same time, when such a powerful generative AI as ChatGPT is applied on a large scale, a worrying phenomenon may occur. A lot of data on the Internet in the future may be generated by AI.When we need to use Internet data to train the next generation of AI tools, we may use data created by AI.

The next question is about computing power. If you want to train a system that is 10 times bigger than ChatGPT, you need 10 times of computing power resources.In the process of training and use, it will consume a lot of energy and produce a lot of carbon dioxide.This is also a widespread concern.

The third major challenge involves scientific progress, and we need basic scientific progress to promote the development of this technology.Just increasing data and computing resources can really push us further in the research and development of artificial intelligence, but this is not as good as the progress brought by scientific innovation. Just like learning to use fire or inventing a computer, we can really make a qualitative leap in human progress. In terms of scientific innovation, the main challenge facing deep learning in the future is how to develop more efficient neural networks.

In addition to the above three challenges, AI needs to be "interpretable". At present, human beings can’t fully understand the logic behind neural networks, and the calculation process of many problems is hidden in the "black box" of AI.Although neural networks have been able to give good answers, we don’t really understand why they give these answers.This not only hinders the research and development of neural networks, but also makes it impossible for humans to fully believe the answers provided by AI. This also includes the robustness of AI, and to use AI in this way, we need to ensure that the neural network will not collapse and get out of control in an unpredictable way.

Although the development bottleneck is in front of us, I don’t think we will see the subversion of neural networks in the short term.We don’t even know how it works yet, so it is still far from subversion.But I don’t think neural network is the answer of artificial intelligence. I think it is only one component of "complete artificial intelligence", and there must be other components, but we don’t know what they are yet.

Tiger sniffing: If computing power is one of the important factors in the development of AI, what innovative research have you seen in the research and development of AI chips?

Michael Wooldridge:Computing power is likely to be a bottleneck in the development of AI technology in the future. The energy efficiency ratio of the human brain is very high. The power of the human brain when thinking is only 20W, which is equivalent to the energy consumption of a light bulb. Compared with computers, such energy consumption can be said to be minimal.

There is a huge natural gap between AI system and natural intelligence, which needs a lot of computing power and data resources. Humans can learn more efficiently,But this "light bulb" of human beings is always only 20W, which is not a very bright light bulb.

Therefore, the challenge we face is how to make neural networks and machine learning technologies (such as ChatGPT) more efficient. At present, no matter from the point of view of software or hardware, we don’t know how to make neural network as efficient as human brain in learning, and there is still a long way to go in this regard.

When the system talks to the system directly.

Multi-agent system is an important branch of AI field, which refers to a system composed of multiple agents. These agents can interact, cooperate or compete with each other to achieve a certain goal. In multi-agent system, each agent has its own knowledge, ability and behavior, and can complete the task by communicating and cooperating with other agents.

Multi-agent system has applications in many fields, such as robot control, intelligent transportation system, power system management and so on. Its advantage is that it can realize distributed decision-making and task allocation, and improve the efficiency and robustness of the system.

Nowadays, with the blessing of AI big model, multi-agent systems and LLM in many scenarios can try to combine applications, thus greatly expanding the boundaries of AI capabilities.

Tiger sniffing: What are the points that can be combined with the AI big model and multi-agent system of the current fire?

Michael Wooldridge:My research focuses on "what happens when artificial intelligence systems communicate with each other". Most people have smartphones and AI assistants for smartphones, such as Siri, Alexa or Cortana, which we call "agents".

For example, when I want to reserve a seat in a restaurant, I will call the restaurant directly. But in the near future, Siri or other intelligent assistants can help me complete this task. Siri will call the restaurant and make a reservation on my behalf. And the idea of multi-agent system is,Why can’t Siri communicate directly with another Siri?Why not let these AI programs communicate with each other? Multi-agent system focuses on the problems involved when these AI programs communicate with each other.

The combination of multi-agent system and large model is the project we are studying. In my opinion, there is a very interesting work to be done in building a multi-agent+large language model. Can we gain higher intelligence by making large language models communicate with each other? I think this is a very interesting challenge.

For example, we need to make an appointment for a meeting now. You and I both use Siri to communicate, but you like meetings in the morning and I like meetings in the afternoon.When there is a dispute between us, how can Siri, representing you and me, work together to solve this problem?Will they negotiate? When AI not only talks to people, but also talks to other AI systems, many new problems will arise. This is the field I am studying, and I believe that multi-agent system is the future direction.

Another interesting question about multi-agents and large language models is, if AI systems only communicate with each other, do they not need human language? Can we design more effective languages for these AI systems?

However, this will lead to other problems, and we need to formulate rules for the exchange of these agents and AI programs.How should human beings?Managing an artificial intelligence society composed of AI?

Siri’s question and answer

AI can’t go to jail instead of human beings.

Michael Faraday, a British scientist, invented the electric motor in 1831, and he didn’t expect the electric chair as a torture device. Karl Benz, who obtained the automobile patent in 1886, could not have predicted that his invention would cause millions of deaths in the next century. Artificial intelligence is a universal technology: its application is only limited by our imagination.

While artificial intelligence is developing by leaps and bounds, we also need to pay attention to the potential risks and challenges that artificial intelligence may bring, such as data privacy and job loss. Therefore, while promoting the development of artificial intelligence technology, we also need to carefully consider its social and ethical impact and take corresponding measures.

If we can really build AI with human intelligence and ability, should they be regarded as equal to human beings? Should they have their own rights and freedoms? These problems need our serious consideration and discussion.

Tiger sniffing: The Chinese Internet has an interesting point: "AI can never engage in accounting or auditing. Because AI can’t go to jail. " AIGC also has such problems in copyright. AI can easily copy the painting and writing styles of human beings, and at the same time, the creation made by human beings using AI also has the problem of unclear ownership. So what do you think of the legal and moral risks of artificial intelligence?

Michael Wooldridge:The idea that AI can’t go to jail is wonderful. Some people think that AI can be their "moral agent" and be responsible for their actions. However, this idea obviously misinterprets the definition of "right and wrong" by human beings. Instead of thinking about how to create "morally responsible" AI, we should study AI in a responsible way.

AI itself cannot be responsible. Once something goes wrong with AI, those who own AI, build AI and deploy AI will be responsible. If the AI they use violates the law, or they use AI for crimes, then it must be human beings who should be sent to prison.

In addition, ChatGPT needs to strengthen supervision in privacy protection. If ChatGPT has collected information about the whole Internet, then he must have read information about each of us. For example, my social media, my books, my papers, comments made by others on social media, and even deleted information. AI may also be able to paint a portrait of everyone based on this information, thus further infringing or hurting our privacy.

At present, there are a lot of legal discussions about artificial intelligence, not just for ChatGPT. The legal issues of artificial intelligence have always existed and become increasingly important, but at present, all sectors of society are still discussing and exploring this.

I think ChatGPT or other AI technologies will become more and more common in the next few years. However, I also think we need to use it carefully to ensure that we will not lose key human skills, such as reading and writing. AI can undoubtedly help human beings to improve production efficiency and quality of life, but it cannot completely replace human thinking and creativity.

People who are changing and want to change the world are all there. Tiger sniffing APP

Guardiola: Arsenal are in an incredible state, but we are still competing.

Live on March 12 th, Manchester City 1-0 Crystal Palace, Manchester City coach Guardiola accepted an interview with Sky Sports.

Guardiola: "My experience is that it is very difficult for us to come here every time. When we came here, I always had a feeling that we played well, but we also had to think about the tenacity of our opponents. We are always fighting because we want to score more goals. They have’ weapons’, Zaha is there, Orlis, Ezer, and they have incredible threats. They have calm and outstanding offensive players, which is a matter of patience. They will delay time, so we must rush them. "

"Everything makes me satisfied, and we missed some opportunities to fight back. It’s not easy. They have six players defending in the penalty area, Harland has two guards and Gundogan has one guard. It’s a matter of patience. They are very tight on Harland. Alvarez is very important and we need him. We need him in midfield. He has some chances. Gundogan is an excellent player. He won the penalty and Harland did the rest. "

"After Cancelo left, we only had Walker and Gomez as full-backs. We had four central defenders, and the defense was very solid. All four of them are outstanding players, so we defended well. Of course, Arsenal are in an incredible state. We are still competing, Arsenal scored 50 points before. It was a typical winter game, a difficult game. We were there all the time, and then we won. Now we have to do everything, next Tuesday and Saturday, hoping to spend one of the best nights we have ever experienced at home, and we can do it again. "