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186 million in 3 years, with a record average salary! Davis renewed his contract with the Lakers: teaming up with James to win the championship again

On August 5th, Beijing time, according to the famous Woj report, agent Ricky Paul revealed that Davis had reached an early renewal contract with the Lakers of $186 million for three years, and the average salary of this contract was as high as $62 million, which created the highest average salary renewal contract in NBA history. Davis and the Lakers have two years left in their original contract. Together with the current contract renewal, Davis and the Lakers’ contract will last until 2028, with a total salary of $270 million for five years. In the future, Davis will continue to join hands with James to move towards the championship again.

For Davis, it is worthwhile for him to get such a contract renewal. As one of the top power forwards in the active league, Davis has nothing to say without injury. Last season, Davis played 56 games for the team, averaging 25.9 points, 12.5 rebounds, 2.6 assists, 1.1 steals and 2 blocks, with a shooting percentage of 56.3%. His scoring, rebounding and shooting percentage are all the highest in the last three years. It is worth mentioning that Davis averaged 25+10+2 hats per game in a single season. He is also the third player in the history of the Lakers to get such data, and his performance is evident on the shoulders of O’ Neill and Abdul-Jabbar.

After helping the Lakers win the championship, Davis was really depressed for two seasons, but last season, Davis’ performance was obvious to all. As long as he can play in the game, he can play a dominant performance. For example, in the face of the Wizards, Davis handed over the data of 55 points, 17 rebounds and 3 blocks, while in the game against the Bucks, Davis scored 44 points, 10 rebounds, 4 assists and 3 blocks. In addition, Davis also scored 30+10 in five consecutive games, playing the performance of offensive and defensive integration in the game. As long as he is not injured, then Davis is definitely one of the top players in the active league.

The reason why the Lakers renewed Davis’ contract in advance is also very clear, that is, James is not young, and the team needs to find a successor to James. If James retires after playing next season, the Lakers can continue to build a team around Davis, and the team still has the possibility of hitting the championship.

It is also helpful for Davis to stay with the Lakers for a long time, where he can enjoy the treatment of team leaders and have the opportunity to retire his jersey from the Lakers. When Gasol’s jerseys retired, Davis said that he hoped that one day his jerseys could be hung around these legendary stars, and he was eager to be one of them. Davis has a five-year contract with the Lakers. During this period, if Davis can help the team win the championship, his jersey is likely to be retired by the Lakers. It can be said that this contract renewal is beneficial to both sides. The Lakers will be the leader in the next few years, and Davis will get a high salary, and there may be opportunities for the jersey to be retired.

At the end of Serie B, Criscito retired successfully.

@ Shen Tianhao: This season’s Serie B regular season finale, Genoa, who has already qualified for Serie A in advance, staged a goal battle with Bari at home. The 36-year-old Genoa star Criscito scored his first personal goal this season at the last minute of the last game of his career. He scored the goal with the most familiar penalty, helping Genoa beat Barry 4-3, and then read a touching open letter after the game, officially ending his career as a player. Criscito was born in Naples, and the longest stop in his career was in Dzenit, but Genoa is already his spiritual hometown-he joined the Griffin five times in different forms and put on a red and blue shirt.

Hu Baosen personally supervised the Henan team and won the first victory at home.

Last night’s sailing stadium was happy. When the scoreboard was finally fixed at 1:0, Sarkozy and his coaching team were surrounded, and the fans at the scene left excited tears. At this moment, the Henan team waited for too long. Since the start of the tournament, the seven rounds of unbeatable haze have been swept away. Although the current Henan team is still mired in relegation, it has finally ushered in a glimmer of light.

In the 31st minute of the competition, the stands of the aviation body were dotted with stars, and the fans turned on the lights of their mobile phones to celebrate the 31st birthday of Henan Football. Among them was Hu Baosen, the boss of Jianye Group, who had been committed to Henan Football for 30 years.

In 1994, when Henan professional football was faced with a "life-and-death choice", Hu Baosen took over the Henan team with "rushing to the top and getting angry". Who knew that it was 30 years, and although he experienced too much bitterness and injustice in the middle, even though the "Jianye" used for 30 years was cut off by the "neutral name" of the Football Association, he still carried it down without hesitation, and invisibly Hu Baosen became a banner of Henan professional football.

2023 is the third year of Henan team’s share reform. Although the shares held by Jianye are decreasing, Lao Hu’s love for football has not diminished. Just as the team was in a precarious situation, Hu Baosen once again came to the stadium to watch the battle. The players on the field seemed to be injected with a needle of "stimulant". Even Ke Zhao and Li Songyi, who were rough in previous games, were like a different person, fighting actively and bloody, and performed well at both ends of the attack and defense. Wang Shangyuan, the captain of the team, was injured in the 27th minute, which cast a shadow over the game. However, at this time, Ke Zhao and Covic stood out, and it was their tacit understanding of "connection" that scored the winning goal for the team and helped the Henan team win the first game in 2023.

Although it won the first victory in the league, this victory is not enough to get the team out of the quagmire. At present, the team has 7 points, only 1 point higher than the relegation circle. The future situation is still grim. The next round of the team will go to Shanghai to challenge the current "leading" Shanghai Shanghai team, but the alarm in Henan has not been lifted, and the front line is weak, the lineup is not complete and the camp is full of injuries. This is a cruel reality faced by the team and an urgent problem to be solved.

No matter how bumpy the road ahead is, we must go on without hesitation. Hu Baosen’s performance in the air also gave the fans a "reassurance" and quelled the "rumor" that the Henan team might quit at the end of the year. As long as Lao Hu is there, Henan professional football is there. This is a spirit, a belief and a trust.

I wish Henan football better and better!

Ten thousand people run together Lots of pictures+videos show you how happy Leshan "Half Horse" is.

"Three, two, one!"

At 7: 33 am on April 22nd.

With the sound of the starting gun

2023 Leshan Half Marathon

Run all over Sichuan (Leshan Station)

Hot start

[Running]

-More than 14,000 contestants set out for happiness.

From home and abroadMore than 14,000 contestants

start off at a run

Along the ecological boulevard

Challenge yourself and run with passion

Feel the charm of sports

This competition has set up a half marathon.

And the Happy Run (5km).

Half marathon

Starting from Daduhe Square, Ecological Avenue, Central District

Go up and down the ecological avenue.

Passing through two turn-back points,

Finally arrived at Shawan Moruo Drama Creative Park.

Happy Run (5km)

Depart from Daduhe Square, Ecological Avenue, Shizhong District.

Turn back 2.5km in the direction of Ecological Avenue.

To the end of Dadu River Square

Leshan half marathon as

Leshan Sports Tourism Boutique Competition

It has been successfully held for three times before.

Has won the "silver medal competition" certification of China Athletics Association.

Won the title of "Natural Ecological Characteristic Competition"

[champion]

-men’s and women’s champion, the runner in this country is "guaranteed"

In the half marathon, Ethiopian CHEKOL WORKU DIRES successfully broke through the finish line, with a total time of 1 hour, 7 minutes and 4 seconds, and became the first in the men’s team of Leshan Half Marathon and Sichuan (Leshan Station) in 2023.

Ethiopia’s MESKELU MENGISTU NIGATU and Xichang’s Wu Erqing took 1 hour, 7 minutes, 5 seconds and 1 hour, 9 minutes and 7 seconds respectively to win the second and third place in the men’s team.

Ethiopia’s FETO DEME ABU took the lead in breaking the finish line and won the first place in the women’s team of the half marathon.

Chengdu’s Song Xuan and Ethiopia’s ADAMU SEBLE MELKAM took 1 hour, 18 minutes, 44 seconds and 1 hour, 21 minutes and 16 seconds respectively to win the second and third place in the women’s group.

[Happy Run]

-the fun of running against the wind and rain, only they can understand.

Although the weather is not beautiful

But the contestants in the happy run

Enthusiasm is undiminished

Enjoy the beautiful scenery, make friends, challenge yourself …

Harvest full of happiness

[escort]

-Run comfortably, because they are here!

In order to ensure the "Leshan Half Horse" to be held safely, smoothly and successfully, logistics support is particularly important.

Leshan City Public Security Bureau has set up a three-dimensional and efficient security headquarters, which has done a good job in security inspection and blasting, order maintenance, traffic control and emergency response. On the day of the competition, more than 1,300 people of various security forces were invested, ensuring the "Leshan Half Horse" event to be held successfully, safely and smoothly.

There are 11 medical stations in Leshan Half Horse, with an average of 2.5 kilometers. The medical staff come from major hospitals in Leshan central city and Shawan District. The medical station has prepared medical instruments to rescue cardiac arrest, drugs to prevent and treat heatstroke, sprains and falls, and AED defibrillators. Before the start of the competition, all medical staff and medical volunteers received training, assessment and live drills.

↑ "Leshan Half Horse" Medical Station, the medical staff stick to their posts and always pay attention to the physical condition of the players.

In addition, during the competition, many volunteers were active on the side of the track to provide intimate services for the players.

↑ Volunteers stick to the rain and guide the track for the players.

↑ Volunteers massage the players who have finished the competition, so that everyone can recover after the competition.

[tidbits]

-There are always moments that are unforgettable.

From the age of 3 to 60, a three-generation synchronous happy run.

"This time we are a family of three generations, and we are participating in a happy run." On the track, 60-year-old Zhang Huiming pushed her 3-year-old granddaughter in a stroller and trotted with a smile on her face. Ahead, her family is striding and has been integrated into the ocean of joy.

Zhang Huiming, a family from Emei Mountain, learned that Leshan Half Horse will be held soon, so they decided to go out and sign up for the Happy Run. "My wife is 60 years old this year, and my eldest granddaughter is 6 years old. She has already rushed to the front with her mother. The 3-year-old granddaughter is too young, so I will push her to run slowly behind, and the family will feel the atmosphere of exercise and fitness." Zhang Huiming said.

The beautiful scenery is intoxicating, the beautiful photos are moving, and the beautiful running friends come to punch in …

Throughout the track, everyone’s eyes are the clear Dadu River, the blooming bougainvillea, the nostalgic green train and the mutual encouragement of like-minded people …

After the competition, Amy’s women’s team gathered at the end of the half marathon-Shawan Moruo Drama Creative Park to enjoy the scenery, take photos and punch in, leaving beautiful memories.

The women’s half marathon team dressed up brightly.

"In this competition, we specially dressed up beautifully, and we also took many photos along the way, which will be uploaded to my Tik Tok account. I hope that we can take the netizens to appreciate the beautiful scenery of Leshan from the perspective of our participation. " Chen Qin, a female player from Chengdu, said.

I made a special trip from Shanghai to enjoy the mountain after the game.

"We came here specially from Shanghai and arrived in Leshan yesterday. This time we participated in the half horse." Before the start of the race, Mr. Gan from Shanghai warmed up on the track, and his mother, Ms. Shi, cheered for him.

Mr. Gan, 27, just participated in a marathon in Shanghai, and heard that the "Leshan Half Horse" was about to start, so he actively signed up. After arriving in Chengdu on April 21, the mother and son didn’t buy a high-speed rail ticket, so they chartered a car to Leshan for fear of delaying the race.

"After this competition, we will travel in Leshan and feel the beauty of Leshan." Ms. Shi told reporters that she had planned to go to wutongqiao district Alsophila Canyon and other scenic spots, and she was full of expectations for this trip to Leshan.

Cheerleading beside the track is also the most beautiful scenery.

In the wonderful competition scene, besides the athletes who have attracted much attention, there are such a group of people, who are unable to participate in the race because of their age or physical reasons, but they beat gongs and drums enthusiastically and spread the happiness of "Half Horse" to all corners around them.

Gu Junfang, an empress from Shawan, is a member of the "Leshan Half Horse" performance team. "There are nearly 100 people in our performance team, all of whom are sisters from various communities in Shawan. Everyone knows that there is a marathon, and they have taken the initiative to sign up and rehearsed for a week, just to show everyone the spirit of Leshan. " She said.

Except for interesting stories.

The most on-site is

All kinds of punching cards

All kinds of joys

While everyone is enjoying sports,

Pleased the mood

Harvest happiness

Don’t say it, continue to go to the picture! !

↓↓↓

Happiness, there is no "big ending"

Let’s look forward to the next "Leshan Half Horse"

ChatGPT will have self-awareness in two or three years. How to prevent it from threatening human beings? Zhou Hongyi said so.

"The development of ChatGPT is not a matter of competition among several Internet companies, but determines whether China can accumulate this technology in the next industrial revolution." Zhou Hongyi, member of Chinese People’s Political Consultative Conference and founder of 360 Group, told the Times Weekly reporter.

Zhou Hongyi has been elected as a member of the Chinese People’s Political Consultative Conference Committee for two consecutive years, and "safety" has always been the key word of his proposal. Recently, the great breakthrough of ChatGPT has caused extensive discussion. Zhou Hongyi has talked openly about the development prospect of ChatGPT more than once, and also expressed his concern about the safety of artificial intelligence.

In Zhou Hongyi’s view, ChatGPT or Big Language Model is a milestone in the development of artificial intelligence. It is the starting point of general artificial intelligence and the turning point of strong artificial intelligence, so ChatGPT will bring an industrial revolution driven by strong artificial intelligence or general artificial intelligence.

ChatGPT is not only an enhanced version of search engine, but also more than a chat robot. It will reshape all digital applications and industries through the artificial intelligence services provided by SaaS. Zhou Hongyi said, "In this field, we can catch up."

At the National People’s Congress this year, Zhou Hongyi submitted a proposal, calling on China to catch up with the great leap of artificial intelligence big model technology represented by ChatGPT. People should pay more attention to the innovation mode behind technological breakthrough while paying attention to technological innovation.

Zhou Hongyi, member of Chinese People’s Political Consultative Conference and founder of 360 Group.

Promote the innovation and development of artificial intelligence big model technology

ChatGPT has caused a global heated discussion. This year, Zhou Hongyi proposed a large-scale artificial intelligence model technology represented by ChatGPT.

"We must find the law of industrial development in the research process." Zhou Hongyi said, for example, why is ChatGPT successful in the United States? Why did Americans take the lead in making it? Why can OpenAI and Microsoft cooperate? "Understanding these problems can promote relevant departments to formulate policy guidance conducive to the birth of China version of ChatGPT and promote the integration of universities, scientific research institutions and industrial companies in China." Zhou Hongyi said.

"We can’t just see how high its big model parameters are." Zhou Hongyi emphasized that the most important thing is to maintain a good and open culture of cooperation. In his proposal, Zhou Hongyi summed up three key factors for the success of ChatGPT-firstly, the "Microsoft +OpenAI" collaborative mode of production, research and research, secondly, the open innovation mode based on open source and crowdsourcing, and finally, the ecological innovation mode centered on the general big model.

Source: the creativity of the worm

Zhou Hongyi suggested that it is necessary to establish a collaborative innovation model of "large-scale scientific and technological enterprises+key scientific research institutions", build China’s "Microsoft +Open AI" combination, and lead the big model technology research; From the height of building a national strategic scientific and technological force, we should screen production and research institutions with good technical foundation, form an industrial synergy combination with complementary advantages, and give full play to the research advantages of scientific research institutions in key core technologies; At the same time, we will give full play to the advantages of large-scale scientific and technological enterprises in productization, engineering, scene, commercialization and data, and become the leading leader in tackling key problems and application of large-scale model technology.

He also proposed to support the establishment of a number of long-term open source projects of national artificial intelligence models to create an open and innovative ecosystem of open source crowdsourcing. Zhou Hongyi believes that the artificial intelligence big model should not be an advanced technology monopolized by a few companies, but should give full play to its industrial and social value.

Focusing on how to promote the technological innovation and development of artificial intelligence big model, Zhou Hongyi proposed to set up a number of national long-term projects in an open source mode for multiple technical routes, with "large-scale scientific and technological enterprises+key scientific research institutions" as the leader, and guide universities, scientific research institutions and innovative enterprises to form innovative ecological groups of multiple technical routes through open source, cooperation, crowdsourcing and ecological innovation modes. On the one hand, it can reduce the risk caused by the wrong choice of technical route, on the other hand, it can also avoid the monopoly of technological achievements in the hands of a few institutions and promote greater scientific and technological innovation and industrial development.

Not developing is the biggest insecurity.

ChatGPT drives a wave of entrepreneurial craze. Wang Huiwen, the co-founder of Meituan, Zhou Bowen, the former chairman of JD.COM Technical Committee, and Wang Xiaochuan, the former Sogou CEO, successively announced their retirement and entered this frontier field.

Technology giants have returned to the rivers and lakes, and Internet giants such as Ali, Tencent, Baidu and Byte have made statements one after another, which will increase investment in artificial intelligence. Under the craze, it is only a matter of time before China version of artificial intelligence language model and ChatGPT-like products appear.

OpenAI took the lead in developing ChatGPT. What did it do right?

Zhou Hongyi believes that OpenAI uses a large number of open source algorithms and papers, skillfully combines various open source achievements, and cooperates with Microsoft to solve the problems of engineering, computing power, data, product experience and business model. Secondly, like Apple’s App Store ecosystem, OpenAI cultivates vertical applications based on ChatGPT. In addition, user traffic is also very important, attracting users to use it, and at the same time, it can also feed and debug large language models based on manual tagging reinforcement learning. Finally, OpenAI has a long-term spirit and a pattern to make universal artificial intelligence innovations that change human beings.

In Zhou Hongyi’s view, China Internet companies have strong engineering ability and strong technology landing ability. "Now, ChatGPT has made a sample, based on open source technology, and there are no insurmountable obstacles. The rest is a matter of time." Zhou Hongyi firmly believes that "with the support of the state’s encouraging policies, China can achieve a better level of follow-up in two or three years."

The big model of artificial intelligence language has a high entry threshold, which is mainly reflected in both technology and capital.

Citic jiantou research report pointed out that the evolution of Transformer in network structure has brought about the improvement of parameters and model layers, which has caused the qualitative change of generative AI technical ability; At the same time, the advantage of parallelization allows it to train on a larger data set, which also promotes the development of pre-training models such as GPT.

As for why ChatGPT can answer questions, Zhou Hongyi told Times Weekly that the training materials for ChatGPT are very important. He pointed out that people mistakenly thought that since robots are chatting with people, they should learn chat materials. In fact, the chat materials generated by social tools have low knowledge content.

"When we chat, no one is talking about knowledge, but they are all lifting each other’s poles. There are many wisecracks and nonsense words." He explained that the chat robot trained in this way is more than "artificial mental retardation" or "artificial leverage", and the dialogue is illogical.

ChatGPT avoids this kind of corpus, just as a person is not necessarily good at expressing, but he is full of poetry and books, expressing elegance and logic, and everyone is willing to chat with such people. Zhou Hongyi emphasized that it is very important to feed ChatGPT with high-quality corpus.

Tuchong creativity

Artificial intelligence technology promotes social progress and also hides risks.

Zhou Hongyi is worried that if ChatGPT is allowed to input corpus without limitation, and get knowledge of searching and browsing the Internet at will, will the self-conscious GPT have the idea of being hostile to human beings after watching movies like Terminator?

After consciousness, ChatGPT may evolve into "eyes", "ears", "hands" and "feet" in the second step. At present, GPT has only "brain". If you add "eyes" and "ears", you can understand all kinds of images and videos of human beings and understand all kinds of audio, knowledge storage will advance by leaps and bounds, and the level of intelligence will also be greatly improved.

In the future, when ChatGPT accesses the API of the Internet and enters the era of the Internet of Everything, it is undoubtedly equivalent to having "hands" and "feet" and indirectly having the ability to control the world. By then, ChatGPT can not only buy air tickets on the webpage, but also take taxis, order takeout, and even manipulate various IoT devices through the webpage.

Finally, ChatGPT may be able to evolve itself. At present, ChatGPT can only write some simple codes. One day, when its code ability is improved, can it automatically look up its own code, correct the upgraded code, or even recompile a new version? If so, it will have the ability of self-learning and evolution, and realize the prospect of robot manufacturing robots.

Zhou Hongyi insists that the biggest insecurity is not developing artificial intelligence. "Whether humans will therefore go into destruction remains to be seen. However, we can’t stop developing technology, but know where the bottom line and boundary of technology are, so as to regulate the development of technology in the right direction. " Zhou Hongyi said.

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.

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