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ChatGPT invested $180 million in anti-aging company, trying to increase the average life expectancy of human beings by 10 years.

In mid-2022, a startup company named Retro Biosciences came into public view, and it announced that it had obtained $180 million for a bold task: increasing the average life expectancy of human beings by 10 years. Just a short year ago, the company was headquartered in a warehouse near San Francisco. There were many containers on the concrete floor, where scientists worked and did experiments.

Retro said that as part of the "radical task", it would "stimulate the speed" and "tighten the feedback loop" in order to stop aging or even reverse it. But it is vague about the source of its funds. According to reports, it was still a "mysterious" startup, and its investors were anonymous.

Now MIT Science and Technology Review can reveal that all the investment was provided by Sam Altman, a 37-year-old senior entrepreneur and CEO of OpenAI.

Altman spent almost all his time on OpenAI, an artificial intelligence company, whose chat bots and electronic art programs have always been unique in the field of science and technology because of their comparable human capabilities.

But altman’s money is another matter. He said that he had emptied his bank account to fund two other very different but equally ambitious goals: pursuing unlimited energy and prolonging life.

He said in 2021 that one of the projects is Helion Energy, a nuclear fusion power generation startup, and he has invested more than 375 million US dollars in the company. The other is Retro, who invested a total of $180 million in the same year.

"This is a lot of money. I basically invested all my current assets in these two companies, "altman said.

Altman’s investment in Retro has never been disclosed before. This is one of the largest personal investments ever made by a startup company seeking to increase human life span.

Altman has always been a well-known figure in Silicon Valley. He used to run Y Combinator, a business incubator in San Francisco, but with the release of ChatGPT by OpenAI and its popularity all over the world, his name has been known all over the world.

It is reported that the breakthrough based on artificial intelligence technology has turned this seven-year-old company into a "member of the technology giant club". Microsoft promised to invest $10 billion in it, and altman, who has 1.5 million Twitter followers, is consolidating his status as a technology tycoon, and his invention will definitely change the society profoundly.

Altman is not on Forbes’ list of billionaires, but he is still very rich. His extensive investments include early shares in companies such as Stripe and Airbnb.

He said: "In the biggest bull market in history, I have always been an investor in technology stocks at an early stage."

Hard core technology

Now, in his words, he has invested his capital in a level that is "orders of magnitude far beyond the Y Combinator era". He has been betting these funds on several technical fields that he thinks will have the greatest positive impact on mankind: artificial intelligence, energy and anti-aging biotechnology.

Helion, headquartered in Everett, Washington, is eager to conquer atoms to create an "infinite clean energy". Joe Betts-LaCroix, CEO and co-founder of Retro, said that the company’s goal is to "prolong human life by discovering how to rejuvenate our bodies".

All these companies, including OpenAI, are what altman called "hard-core" start-ups-companies that need a lot of investment to make scientific progress and master difficult technologies. This is a shift for altman, from supporting fast-growing applications and companies in the era of Web 2.0 prosperity to supporting scientists engaged in long-term research.

Hard science companies need higher capital costs, but altman believes that their bigger goals are more likely to attract talented engineers. He recently quoted Daniel Burnham, a Victorian architect, on Twitter: "Don’t make small plans, they don’t have the magic to stimulate the blood flow."

Although nuclear fusion and life extension may be the most incredible projects (some researchers even think it’s daydreaming), few people believed that artificial intelligence would pass the medical school exam in 2023, just like ChatGPT, a chat robot of OpenAI, did this year.

Altman said that in fact, hard-core startups may have a better chance of success than simple companies. This is because there may be a thousand start-ups developing photo sharing applications, but only a few companies can build experimental nuclear fusion reactors.

enlarge the scale

Altman said that the areas he has been betting on are those where he can see some potential trends, so that technologies that seem impossible today are expected to spread quickly. This is what happened to OpenAI, which was established in 2015.

The company focuses on a machine learning technology called transformer and has steadily expanded its scale. In the process of creating its products, it only spent more than $1 billion on purchasing computing power.

The resulting model (program) can create pictures and complex text paragraphs in a few seconds, even close to human works. "We have an algorithm that we can learn, and as it performs more operations, it seems that it can be further extended," altman said.

As for the realization of controlled nuclear fusion, the trend that altman sees is bigger and stronger magnets. In order to fix the 100 million-degree thermal plasma vortex in the reactor core, we need very powerful magnets. Altman said that he initially invested about $10 million in Helion, but later increased the stakes because he was "very confident".

Although the problem of nuclear fusion has not been solved (reactors still use more energy than they produce), he has been urging Helion to list how to build several reactors every day-if nuclear fusion wants to replace coal and natural gas as the main power source, increasing production capacity is a necessary part.

"That’s what I’ve learned from my career. Scale it up and see what happens, "altman said.

Young blood

About eight years ago, altman became interested in the so-called "young blood" research. In these studies, scientists stitched young mice and old mice together so that they shared a blood system. Surprisingly, these old mice seem to have partially recovered their vitality.

This is a terrible experiment, but to some extent, it is very simple. Altman, then the head of Y Combinator incubator, asked his staff to investigate what progress anti-aging scientists were making.

He said: "It feels like this is a result I didn’t expect, and that is another result I didn’t expect. This means that something is happening quietly … Maybe there is a secret hidden here, and it is easier to find than we thought. "

In 2018, Y Combinator opened a special course for biotech companies, inviting companies with "radical anti-aging plans" to apply, but soon after, altman left Y Combinator to concentrate on his increasingly busy work in OpenAI.

By 2020, some researchers in California showed that they could achieve the effect similar to obtaining "young blood" by replacing the plasma of old mice with saline and albumin. This shows that the real problem lies in the "aging blood". Just by diluting it (and the toxins in it), we may be one step closer to drugs that resist or even cure aging.

Bates Lacroiva recalled, "Sam called me and said,’ My God, have you seen this plasma intervention paper?’ That’s not what I said, but the general idea is similar. Bates Lacroiva was a part-time biotechnology partner of Y Combinator and now leads a gathering of longevity lovers.

Bates Lacroix agrees that it’s cool and some companies should pursue it. "How about I fund you to do it?" Altman said.

But Bates Lacroix was already studying a different idea. He just finished an early joint venture project, a company called Vium. The company tried to "digitize" the rat population and added cameras and artificial intelligence to monitor the experiment. Vium has raised more than 50 million dollars, but it has not been successful. That year, it was merged into another biotechnology company, which bought its assets for $2.6 million.

Bates Lacroiva’s new plan is to set up a company to pursue cell reprogramming-another hot area involving the technology of making cells younger through genetic engineering. He has collaborated with Chinese scholar Ding Sheng Ding who has developed a new method of reprogramming cells. Bates-Lacroiva also believes that the process that cells use to process toxins (called autophagy) may be a direction worth exploring.

Altman’s answer is: "Why don’t you do all these things?"

"I will. I will set up a multi-project company around the biology of aging, which is a big project, "Bates Lacroiva recalled." Then he said,’ Great, let’s do it.’ "

The new company needs a lot of money-enough to keep it going for at least seven or eight years while conducting research, encountering setbacks and overcoming them. And it needs to finish the work quickly. The expenses of many biotech startups are decided by the board of directors, but in Retro, Bates-Lacroiva has all the decision-making power. "There is no bureaucracy here," he said. "I am a bureaucracy."

For example, Bates Lacroix did not wait for scarce laboratory space, but filled a warehouse with 40 prefabricated containers and used them as laboratories. This means that he can quickly carry out the first experiment, including repeating some plasma work on mice. Bates Lacroiva presented some preliminary results at a conference in 2022, saying that mice undergoing plasma exchange seemed to become stronger.

Mysterious start-up company

Retro employees submit experimental memos every week to record which work is progressing smoothly and which work is frustrated. Bates Lacroix said that he usually calls altman on weekends to tell him the highlights, and altman sometimes makes suggestions.

However, up to now, things related to this company in altman have been kept secret. This is a decision made by Bates Lacroiva, who wants Retro to open its own path. Altman agreed, because he tried to be "very careful not to hide the brilliance of the CEOs I worked with."

When Bates Lacroiva officially disclosed the company information in mid-2022, in a series of tweets, he still didn’t disclose altman’s name, but said that he was "lucky to get the initial capital of 180 million dollars", which was enough to "safely" support the company to run until 2030, when it planned to realize "the first proof of concept to extend life".

People familiar with the company’s thinking say it’s also because altman’s name may be a distraction. Of course, he is famous, but this reason may be wrong. Although altman’s position in the entrepreneurial world is unparalleled, his reputation is almost nonexistent in the biological laboratory and pharmaceutical industry, and a person’s scientific record is the most important in this circle.

"I’ve never heard of the name Sam altman," said Irina Conboy, a researcher at the University of California, Berkeley, although her work on plasma has amazed Sam. But she is really more familiar with Bates Lacroiva and his research on longevity.

"100 million is just a number, not a breakthrough," Comboy said.

Public discontent

Every technology also has risks. As far as artificial intelligence is concerned, it is chat bots that may spread lies and false information. As for reversing the age, if it is really effective, one of the risks often mentioned is public dissatisfaction, especially if it will be offered to the rich like altman first.

The basis of this idea is that if altman’s financial support is magnified conspicuously, Retro may become a victim and be classified as a vanity project misled by billionaires in pursuit of immortality.

We have reason to be so worried. In 2016, Peter Thiel, one of altman’s mentors, was ridiculed by the media as a "vampire looking for young victims" after he expressed interest in receiving anti-aging blood transfusion treatment. A year later, HBO’s spoof program "Silicon Valley" released an episode called "Blood Donation Boy". In the film, the CEO of a fictional technology company is in a meeting, and his vein is connected with that of a handsome young man called "blood transfusion assistant".

"We really don’t want to see those old billionaires pay for plasma donors," Bates Lacroiva said in the summer of 2022. Instead, he said, the company hopes to find more "credible" interventions, such as drugs that mimic the effect of blood replacement, for millions of people to use.

"We don’t want to treat billionaires with prejudice. I’m just saying that we don’t want to see treatments that are super expensive, awkward and difficult to implement. "

Altman said that his personal anti-aging methods include "trying to eat healthily, exercise and get enough sleep" and taking metformin. Metformin is a diabetes drug, but it is very popular in Silicon Valley because it may make people without diabetes healthier. "I hope I can use Retro therapy one day!" Altman said.

OpenAI in the field of anti-aging

Anti-aging research seems to be a promising investment field. One reason is that it has not received much funds in the past, at least relative to the scale of the research project. According to the data of the Center for Medicare and Medicaid Services in the United States-about $4.3 trillion, accounting for nearly one-fifth of the GDP of the United States-it is used for medical care, most of which is used to treat the elderly. Longevity researchers generally believe that if a drug can delay aging, it may help delay a series of serious diseases, including cancer and heart disease.

Bates Lacroiva said that in order to have the widest impact, he is looking for interventions that can scale up and affect "millions or billions" of people.

However, when Retro lifted the veil, the research on the problem of old age was becoming very popular. The Saudi government said that it will provide 1 billion dollars for related research every year, and an organization called Altos Laboratory has been established, claiming that it has 3 billion dollars. Famous investors are also involved, such as Yuri Milner, and even Jeff Bezos is rumored.

Compared with these investments, altman’s bet looks relatively small, even making Retro look insignificant. One of its projects is to test the rejuvenation technology on T cells, which are part of the immune system and play an important role in fighting infection and avoiding cancer.

These cells are particularly useful because they can be removed, rejuvenated in the laboratory and sent back to the patient. But other startups have similar goals, including Altos and NewLimit, a biotechnology company founded by cryptocurrency billionaire Brian Armstrong in 2022.

The competition for researchers is particularly fierce. Altos persuaded 24 university professors to leave their jobs and offered millions of dollars in salary and other benefits, which absorbed almost half of the top scientists in the field of reprogramming.

But Bates Lacroix also managed to attract some top talents. In 2022, he flew to Switzerland to visit Alejandro Ocampo, a researcher at Lausanne University. In 2016, Ocampo was the first scholar to study the rejuvenation of mice, and his research helped trigger the current craze for longevity investment.

"I’m glad to see Joe coming to see me in person," Ocampo said. He was so grateful for the attention he received that he later agreed to become a paid consultant for the company.

He also said that Bates Lacroiva is willing to accept his view that the age reversal of human beings will not happen in the short term. Some of Ocampo’s recent experiments explored why the reprogramming method he studied would kill some mice instead of making them live longer.

Ocampo said: "Some optimists think that we will achieve eternal life in 10 years, while some pessimists say that we will never prolong human life. As a realist, my personal opinion is that many people are choosing simple and fast experiments, but if we do the same, I don’t think we will go very far. Because this will not be an easy road. "

Ocampo said that Bates Lacroix convinced him that Retro was willing to explore these basic problems with its own funds. "They want to promote the development of science, not just pursue short-term goals," he said. "Other companies want to find an application scenario immediately, but they are willing to spend time exploring basic science."

Bates Lacroiva did not discuss Retro’s funding sources with Ocampo. Ocampo said that he didn’t know that altman was funding the startup until he was interviewed by MIT Science and Technology Review.

In an interview, altman didn’t worry about the competition from other companies. He believes that most biotechnology companies are accustomed to slow action and are usually "not good at management". He believes that the research on longevity needs an "OpenAI-style effort".

Altman said: "Retro’s main task is to become a truly excellent biological start-up company, because this is a rare thing. It combines great science with the resources of big companies in the spirit of a startup company. This is our current project. "

Original text:

Inzaghi faced two fateful battles at Inter Milan and Kong Di’s three choices in Italy.

Inter Milan lost to Spezia 1-2 away, which put coach Inzaghi in a delicate position at Inter Milan.

Next, the Nerazzurri need to face Porto in the Champions League and Juventus in Serie A..

These two games will play a decisive role in Inzaghi’s future.

Inter Milan’s minimum requirement for Inzaghi is to keep the top four position in Serie A, otherwise the coach may face dismissal after this season.

People’s doubts about Inzaghi are increasing.

On the other hand, Kong Di and Tottenham are both bored, and they will probably leave Tottenham after this season, and may even be fired in advance.

If Kong Di does not choose to coach in other leagues this summer and returns to Italy, then he has three main options.

At present, Kong Di’s net annual salary at Tottenham is about 10 million euros, which is one of the biggest obstacles for Kong Di to coach in Serie A..

Juventus and Inter Milan are two potential destinations for Kong Di in Serie A..

For Juventus, the current coach allegri’s net annual salary is about 7 million euros, and his contract with the team expires in the summer of 2025, which means that Juventus will have to pay a high price for firing allegri and signing Kong Di.

In addition, it is also possible for Kong Di to return to Italy for a year and then return to work.

These are Kong Di’s three main choices in Italy. Of course, there may be teams outside Italy who will hire Kong Di to coach.

Paris Saint-Germain is willing to spend 50 million pounds to introduce Maguire?

Paris Saint-Germain is preparing to offer 50 million pounds for Harry Maguire in the summer and bring him to France..

It is reported that Manchester United are willing to break the club record and sign Eduardo Camavinga from Real Madrid for 115 million pounds..

Tottenham Hotspur is facing a struggle to convince Thomas Tuchel to become their new head coach. It is reported that both he and Mauricio Pochettino are the best candidates to succeed Antonio Conte, and Chairman Daniel Levy has reservations about bringing back former head coach Pochettino..

Manchester United has added Mason Mount of Chelsea to the list of attacking midfield targets including ude Bellingham. If Erik ten Hag spends most of his summer budget on bringing in Harry Kane or Victor Osimhen, the summer transfer window will exceed the budget..

The exit of Paris Saint-Germain in the Champions League is likely to prompt the departure of head coaches Christophe Galtier and Sports director Luis Campos..

Considering the cost of living crisis, the soaring business income of Chelsea, the performance of the club this season and the possible impact of the rising ticket fees on the atmosphere of the match day at Stamford Bridge, Chelsea fans warned the club president Todd Boehly that if he decided to raise the ticket price after a bad season at Stamford Bridge, it would cause "irreversible harm" to the fans..

Before Saturday’s game against Brighton, Leeds may get unexpected good news, and striker Rodrigo may play only one month after ankle surgery..

Wolves hope to beat Premier League rivals Tottenham Hotspur and West Ham United and plan to sign Alex Scott of Bristol City for 20 million pounds..

Daniel Levy, chairman of Tottenham Hotspur, will consider a series of candidates to change coaches, including Mauricio Pochettino, who may return to the club, and Luis Enrique, who was fired by Spain after the World Cup. Celtics coach Ange Postecoglou, Brighton coach Roberto De Zerbi and Neapolitan coach Luciano Spalletti..

Laundry technology sharing: can ChatGPT make autonomous driving faster?

Recently, the hottest topic in the science and technology circle is "ChatGPT". However, ChatGPT is only an external manifestation, and what deserves more attention is the development of AI technology behind it and its future application.

Some people even describe the changes brought by ChatGPT optimistically: Before ChatGPT, AI was only a module of existing scene products at most. Then, after ChatGPT, AI will redefine the product framework of existing scenarios.

Whether it is as optimists say remains to be seen, but whether autonomous driving, as one of the important scenes of AI landing, will have further development in this wave has still aroused many people’s discussion.

Some people think that autonomous driving needs more graphics, images and data processing ability, requires higher image algorithm, and has little correlation with natural language processing ability. It is not possible to realize autonomous driving with ChatGPT’s ability at present.

Of course, some people think that the appearance of ChatGPT shows us a possibility, that is, trained AI will make high-level autonomous driving expected to appear in a few years.

Why does the progress of AI technology make people pay attention to whether autonomous driving is affected?

Observing the development history of autonomous driving, it is not difficult to find that every major breakthrough of autonomous driving is synchronized with the development of AI technology.

We know that,AI is actually imitating the brain neural network and learning some very humanized skills by analyzing a large amount of data.In 1980s, the first practical application of neural network happened in the field of automatic driving.

In 1987, researchers at Carnegie Mellon Artificial Intelligence Laboratory tried to make a truck that could drive automatically. They manually write codes for all driving behaviors and write as detailed instructions as possible for various situations encountered by trucks on the road, so as to make the vehicles run automatically. But unfortunately, this way can only make the car achieve a speed of several inches per second.

Manual code writing failed, and another doctoral student named Dean pomerleau chose another way: neural network.

He named his system ALVINN. After adopting this system, trucks use the images taken by the roof camera to track what drivers are doing, so as to observe how to learn to drive on the road. In 1991, ALVINN drove from Pittsburgh to Erie, Pennsylvania at a speed of nearly 60 miles per hour.

However, a more direct and broader impact occurred in 2012.

Jeff Hinton, a professor at the University of Toronto, and two of his students, Alex Krzyzewski and Ilya Satsky, won the first prize in the ImageNet image recognition competition, and published a paper introducing the algorithm AlexNet. This paper is not only the turning point of artificial intelligence, but also the turning point of global technology industry.

As the key technology of autonomous driving, target detection and image recognition are highly benefited from the breakthrough of computer vision algorithm. Therefore, with the recognition accuracy of Li Feifei team, director of Stanford Artificial Intelligence Laboratory, surpassing humans for the first time on ImageNet open data set in 2015, autonomous driving, as one of the most important landing scenes of AI, has also entered the fast lane of development.

So, will the appearance of ChatGPT become the Milestone of autonomous driving again?

Generally speaking, AI can be divided into three parts: voice, vision and natural language understanding.The last wave of AI was mainly based on the breakthrough of visual image recognition technology, and this time ChatGPT is a natural language processing technology based on GPT-3 model, which can effectively simulate human language understanding ability, thus helping people better understand and analyze natural language text data.

When we want to discuss what impact ChatGPT will have on autopilot, we think that we should first find out whether autopilot here refers to mass-produced low-level autopilot (assisted driving) or high-level L4 autopilot. Secondly, does ChatGPT refer to a language model or a more generalized generation model?

From the perspective of natural language understanding, ChatGPT has a more direct impact on human-computer interaction in the assisted driving part, but it may not have a great impact on L4-level automatic driving.

Cui Dongshu, secretary-general of the Federation, also wrote in his WeChat WeChat official account that the innovation of human-computer interaction and intelligent cockpit system is very strong, especially the human-computer interaction ability of domestic car companies is very strong. Only China enterprises can understand Chinese more deeply. With the empowerment of the bottom layer in the future, the domestic automobile industry will have more good human-computer interaction effects at the application level.

For example, by using ChatGPT, the vehicle can interact with the driver by voice or text, and provide the driver with real-time feedback on vehicle status and driving information.

Before this, although a large number of in-vehicle interactive systems have appeared, the pain point of the industry mainly focuses on the "understanding" part, and most of the in-vehicle voice interactive systems are not intelligent in "understanding", resulting in a single function and command word of the whole system. ChatGPT’s explosion made the market see the hope of solution.

However, Cui Dongshu, secretary-general of the Federation, also said that,Electrification is the core of new energy vehicles, and intelligence is just icing on the cake. In the future, the core competitiveness of car companies will still be to build electric vehicles, and at the same time make full use of intelligence such as ChatGPT to empower the development of the automobile industry.

Of course, whether it is the core or not, it is not enough to have a technological breakthrough if you want to get on ChatGPT. An AI industry person told Titanium Media that "there are still cost issues, including the use cost, cloud service cost and targeted training cost."

However, from a broader generative model, the generative model with big data and large parameters will help to achieve a higher level of autonomous driving.

He Xiang, a data intelligence scientist at Mimo Zhixing, said in an interview with Titanium Media App that the vehicle-side capabilities mainly include two categories: perception and cognition. The perception ability really relies mainly on image technology, while the cognitive ability relies more on similar generation technology of ChatGPT.

That is to say,ChatGPT’s revolutionary significance lies in: letting AI model enter the era of knowledge and reasoning. At present, the biggest shortcoming of autonomous driving lies in the lack of sufficient intelligence in decision-making planning.

ChatGPT uses a training method called "Human Feedback Reinforcement Learning (RLHF)", and He Xiang, a data intelligence scientist at Mimo Zhixing, explained to Titanium Media APP.GPT is a large-scale universal pre-training language model. GPT1, GPT 2 and GPT 3 mainly improve the parameter scale, while ChatGPT mainly introduces human feedback data for reinforcement learning.

The introduction of this method can ensure the minimum output of useless, distorted or biased information according to human feedback in training.

It happens that there is also a kind of automatic driving decision algorithm called imitation learning, which is to let the machine learn how human drivers do it in different scenarios.

Generally speaking, every takeover by a human driver is an artificial feedback to the autonomous driving strategy; This takeover data can be simply used as a negative sample, which is a record that the autopilot decision is corrected. At the same time, it can also be used as a positive sample to improve cognitive decision-making

"The big model of big data and big parameters can learn more potential knowledge, including different environments and different scenarios, which is equivalent to learning a lot of common sense of autonomous driving. This common sense is very important for autonomous driving decisions." He Xiang, a data intelligence scientist at the end of the year, told Titanium Media App.

That is to say,In the process of autonomous driving research and development, the idea of human feedback reinforcement learning can be used to train a model to verify and evaluate the output of the machine model, so that it can make continuous progress and finally reach the driving level of human beings.

Therefore, it can be said that the improvement of basic ability has brought about the expansion of imagination and applicable scenarios. However, at this stage, we still can’t accurately judge how much change the big model represented by ChatGPT will bring to autonomous driving. An industry person told Titanium Media App that the excellent generalization ability trained by the big model may make there no corner case in the world.

Corner case refers to a small probability event that may occur during driving, but the frequency is extremely low. Although it is rarely encountered at ordinary times, it is likely to lead to a fatal traffic accident when encountering a corner case that cannot make a decision for an autonomous driving system.

The emergence of ChatGPT has made the industry realize that it is possible to gain a higher level of autonomous driving technology by constantly accumulating kilometers and running like this.

In fact, before this, both foreign Tesla and domestic Tucki, Baidu and Mimo Zhixing were already exploring the route of "big model".

In 2020, Tesla announced that it would introduce a large model based on deep neural network into its autonomous driving, and now it has realized a large-scale public beta of pure visual FSD Beta; Tucki expressed the viewpoint of using large models to get through the whole scene of XNGP on the 1024 Science and Technology Day in 2022. Baidu Apollo believes that the Wenxin model will be the core driving force of the elevator’s automatic driving ability.

As early as 2021, Mimo Zhixing announced that it would improve its data processing ability with the help of a large model. On February 17th this year, Mimo Zhixing officially upgraded the large model of human driving self-monitoring cognition to "DriveGPT", which will continue to introduce large-scale real takeover data, and continuously improve the evaluation effect through intensive learning of human driving data feedback. At the same time, it also uses DriveGPT as a cloud evaluation model to evaluate the driving effect of small models at the vehicle end.

However,The development of high-level self-driving cars is a complex multidisciplinary field, involving a wide range of technical and regulatory challenges. The progress of artificial intelligence technology can bring some impetus, but this is not a short-term problem.

It is reported that GPT3.0 involves 170 billion parameters, with more than 300 GB of memory, and the training process costs more than 12 million US dollars. The above-mentioned industry insiders said that the autopilot algorithm is to run in the car. Can such a large model be deployed to the car? How much computing power does it need to support? In addition, autonomous driving can not be completed by repetitive and simple road data stacking, so how to ensure a large amount of data is also a key issue.

The article is reproduced from the titanium media. The opinions in the article are only for sharing and communication, and do not represent the position of WeChat official account. If copyright issues are involved, please let us know and we will deal with them in time.

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C Ronaldo’s secret history conjecture: open partner! Ukrainian surrogacy! The mansion is booming!

Recently, foreign media disclosed matters related to the confidentiality agreement of C Ronaldo’s followers, and the private life of this well-known commercial superstar once again aroused fans’ curiosity.

C Ronaldo’s entourage is numerous, including family, friends and staff, including nutritionists, trainers, chefs, cleaners and personal security. Foreign media disclosed: "C Ronaldo’s private life shall not be revealed within 70 years after the death of the player or his last relative."

Considering that Cristiano Ronaldo’s children are less than 10 years old, it is estimated that fans will never have a chance to know about Cristiano Ronaldo’s private life without media coverage. Therefore, this paper boldly makes some guesses about what secrets must be brought to the grave by his followers.

Conjecture 1: open partner

"You can touch my eggs, but not my money." The wife of xiaosheng, a popular national football player, once said this sentence to xiaosan, which shocked the fans, and also unveiled the tip of the iceberg of "open partners" of the rich.

The so-called open partner is to allow your partner to have more partners besides yourself, and you don’t need to be loyal to each other. C Ronaldo and Georgina have been together for many years, and they also have children, but they are not married. Georgina’s external identity is "C Ronaldo’s girlfriend (one of them? ) ",the real identity at home may be the housekeeper (kindergarten director), and this relationship may be an agreement reached between them.

A single girl once told me that she didn’t want to get married because all men were not suitable: 1. If she was a good enough man, there must be other women outside, and few people could withstand the temptation, so it was hard to accept sharing a man with others; 2. If you are not a good man, you will feel frustrated when you look at it, and you don’t want to stay together for a minute.

Some fans have also left a message behind Tang Jiaqi’s article about C Ronaldo: If you have his money and status, you may spend more money than him. At present, the conjecture about Cristiano Ronaldo’s open-ended partner is not only a conjecture, but also some clues. For example, female online celebrity announced that Cristiano Ronaldo cheated during pregnancy.

Online celebrity, a Georgia-Maria, said that she and Cristiano Ronaldo had an intimate relationship in March last year, when Georgina’s twins were pregnant. This happened during the training of the Portuguese national team. For this matter, Cristiano Ronaldo did not deny it. Previously, there seemed to be something else about Cristiano Ronaldo’s affair with his girlfriend Georgina during pregnancy.

There are also fans who question how this female online celebrity’s face value is too low to be liked by the president. In fact, as the saying goes, "Women chase men, and they are separated from each other", the difficulty is actually not that great. As long as the female is active enough, if the fans are lucky enough to have seen all kinds of one-night stands of Cristiano Ronaldo in Manchester United, in fact, this female online celebrity is not the ugliest.

Conjecture 2: Surrogacy in Ukraine

Among C Ronaldo’s children, at least three were born by surrogacy, not including the eldest son, Mini Ronaldo, who is also a surrogate baby. Since many transactions have been made with surrogacy agencies, and C Ronaldo’s daughters (eyes) seem to see the shadow of Ukrainian beauty, C Ronaldo in Europe will make people associate with Ukraine, the "European uterus".

Ukrainian beauties with beautiful skin and long legs are a beautiful scenic line in the world. Because the country is poor, they become surrogate tools.

The price of a Ukrainian woman’s surrogacy is only $30,000, which is one-fifth of that of Europe and the United States. Ukraine ranks among the "European Uterus" with its surrogacy industry of hundreds of millions of dollars every year, which means that thousands of surrogate babies are produced every year. Do C Ronaldo’s surrogate children have Ukrainian babies?

In view of the current Russian-Ukrainian war, Cristiano Ronaldo is openly on Ukraine’s side, announcing that "the world is with you, and I am with you". Is it possible that Cristiano Ronaldo feels the same because he is the father of the Ukrainian baby?

Conjecture 3: Mansion bashing

It’s no secret that the rich in Europe and America are partying in luxury houses. Berlusconi of Italy once held a celestial feast in luxury houses, playing large-scale dramas such as "multi-person sports" and "minors", which is in contrast to the fact that the rich in China only held a "sea-sky feast" on yachts on the high seas.

While rich and prestigious stars have luxury houses all over the world, "using local materials" should not be news. Even if the world "flies", it is not surprising that Neymar has repeatedly staged the drama of "Wan Li calling the way" to invite women from Brazil to Paris, Europe.

There are also many things about the call to C Ronaldo’s mansion. The roles involved are female students, professional workers, online celebrity, nurses, white-collar workers, wives, singers, models, etc. Here, you can search by yourself. These things, I believe that his family’s staff are informed, so it is necessary to sign a confidentiality agreement.

What secrets do you think may be involved in the private life of C Ronaldo staff’s confidentiality agreement?

There are so many ai robot outbound calling systems, how to choose the one that suits you?

As the artificial intelligence industry becomes more and more mature, the times are developing and the industry is progressing, and more industries will embrace artificial intelligence; Ai robot outbound system can make enterprises create more profits with less cost and shorten the cycle of finding customers. So, there are so many ai robot outbound call systems, how to choose the one that suits you?

Telephone:

To judge whether an ai robot outbound system is suitable for you, we should first pay attention to several aspects: 1. Connection rate 2. Time required for dialing 3. Speech skills 4. Whether the line is high or not. 5. Where the number belongs …

Constantly compare the function of this robot outbound system with that of the robot outbound, and choose who can meet the actual needs of your company;

It’s just that this choice takes a long time and costs a lot of time, so is there a simpler method?

1. It can be applied to mainstream industries and application scenarios.

Jiadan Technology Intelligent Sales Robot is suitable for covering mainstream industries and application scenarios.

Jiadan Technology intelligent telemarketing robot is equipped with a good platform, and uploads the exclusive speech recorded by a professional sound recorder. Technicians upload it to the system platform, and then they can make their own calls by importing the phone, so as to quickly and effectively screen customers who are interested in the products and push them to WeChat bound to the system platform to arrange professional contact and communication.

Faster and more effective, support interruption, support manual intervention, and improve work efficiency.

2. Automatically determine the intended customers. According to the intended customer label set by the system platform, what kind of customers are divided into: Class A, Class B, Class C and Class D all have clear standards; For example, how much money the customer asks, where the company is, and other keywords, the system will automatically judge it as a class A customer, and the call records can be viewed in real time without missing any intended customers.

3. After professional and intimate after-sales service cooperation, many-to-one guidance will be given to the docking group, and many customer service technicians will solve all kinds of problems encountered in the use process in real time.

If you are interested, please contact the above phone and WeChat to provide you with professional advice.

Haitong Securities: Private cloud will become the mainstream layout of AI big model computing power. It is recommended to pay attention to Pingao shares (688227.SH) and so on.

Zhitong Finance APP was informed that Haitong Securities released a research report saying that AI big model training has less demand for temporary rapid expansion of computing power, and private clouds can also shoulder computing power requirements. At the same time, for continuous and large-scale AI training, private cloud has higher efficiency and lower cost. From a completely visible point of view, with the help of private cloud, enterprises can completely control and visualize their network security status, and can customize it to meet their specific needs. The bank believes that the high security of private cloud makes it a more suitable solution. Suggested attention: Pingao (688227.SH) and Qingyun Technology (688316.SH).

The main points of Haitong Securities are as follows:

AI big model training has less demand for temporary rapid expansion of computing power, and private cloud can also shoulder the computing power requirements.

In the past, China’s public cloud market has always occupied the mainstream position of cloud computing. According to China ICT Institute, in 2021, the scale of China’s public cloud market reached 218.1 billion yuan, while the private cloud market was only 104.8 billion yuan in the same period. In the past, the development of the public cloud market was mainly due to the rapid growth of the demand of Internet enterprises in China in recent years, and the process of traditional enterprises going to the cloud was accelerated, while the public cloud had the advantage of flexibility and easy expansion. The bank believes that in this context, enterprises’ demand for cloud is increasing, while public cloud is easier to expand and more suitable for high-speed growth enterprises. The bank believes that in the context of the current rapid development of AI, the demand for rapid expansion of cloud servers is not so strong; Moreover, from another point of view, before the large-scale model training, there is often a preliminary understanding of the training computing power required by the model, and the required computing power will be prepared and laid out in advance, so it is unlikely that a large amount of computing power will be temporarily expanded during the model training, which makes the advantage that there is a cloud that can rapidly expand no longer exist in the field of AI large models, and the private cloud can also support the computing power demand of model training.

For continuous and large-scale AI training, private cloud has higher efficiency and lower cost.

When building a private cloud, the limited budget can be used efficiently by carefully planning hardware, capacity, storage and network configuration. On the other hand, although the public cloud has some advantages in ease of use, these services have great "binding" characteristics. For example, if users use Microsoft’s pre-trained DNN for image processing, they can’t easily run the generated applications on their own servers, and users can’t use Google’s TPU and AuoML tools in non-Google public clouds. However, in the current training of large models, it is necessary to constantly use new data and functions to keep its "freshness". Because the private cloud is only used by a single organization, the enterprise can completely control its software and hardware selection. This high degree of control means that the owner of the private cloud can reconfigure or customize the cloud resources for the task, further improving efficiency. As the big model becomes more and more complex, private clouds can provide greater generality and finer specifications (such as plugging in specific applications and ensuring continuous availability and data speed independence). The bank believes that on the one hand, the cost of public cloud layout and private cloud layout is basically the same for the demand of fixed pre-trained AI big model. Because there is no demand for rapid expansion, the scale cost advantage of public cloud will be weakened; On the other hand, the training efficiency of public cloud will be lower than that of private cloud specially built for its own AI training. For continuous and large-scale deep learning, using local private cloud can save a lot of costs and improve training efficiency.

Al training needs massive and highly sensitive data, and the high security of private cloud makes it a more suitable solution.

For the public cloud, when companies store their data and information in the cloud, it is difficult to ensure that these data and information will be adequately protected. The huge scale of the public cloud and the diversity of companies covering users also make it a favorite target for hackers to attack. In addition, there is the problem of hardware sharing in public cloud. Through public cloud, the work between different companies will be carried out on the same server, and this sharing mode is likely to lead to the disclosure of confidential data and information. Unlike public cloud, private cloud is a cloud infrastructure specially built to provide "isolated access" in a "single tenant environment", that is, it can only be accessed by a single entity, which is usually an enterprise that uses and maintains the cloud. The only purpose of establishing a private cloud is to provide services for enterprises that own the cloud. From the control point of view, because the owner completely controls the physical computing, storage and network equipment, the data security is promoted to the highest level, and the internal administrator has greater flexibility in implementing and accessing security tools; From a completely visible point of view, with the help of private cloud, enterprises can completely control and visualize their network security status, and can customize it to meet their specific needs. Because AI training needs a lot of data, for example, the data volume of GPT-3 pre-training reaches 45TB; Moreover, the application of artificial intelligence faces great security risks. On the one hand, data is associated with user privacy information, on the other hand, the destruction of the model will lead to decision-making errors, data poisoning will affect the effectiveness of intelligent services, deep forgery will be used for extortion, and data leakage will lead to user privacy exposure. Events occur frequently.Therefore, there will be higher requirements for security. Therefore, the bank believes that a private cloud with high security features is a more suitable solution.

To what extent have robots developed in China?

The development of robots in China has made great progress, and various types of robots have been popularized from manufacturing to service. The following is some information about the present situation and development trend of robot industry in China:

China is dominated by industrial production and occupies a leading position in the global market.Logistics, warehousing, processing and other businesses all involve robots.

Consumer robots are becoming more and more popular.For example, home cleaning robots, toy robots and robots that assist the elderly and the disabled.

In 2019, China successfully developed the first conversational AI robot. Its name is Xiaodi, which has the functions of speech recognition, natural language understanding, dialogue generation and emotion recognition. It is widely used in customer service and hotel reception.

Considering the aging population and increasing medical costs, China is actively exploring medical robots. Such as robotic surgery, nurse robots, etc.

In education, artificial intelligence and robots are being used in schools and higher education.For example, educational robots can help children improve their math and science skills.

The market demand is huge.With the transfer of global manufacturing, China has become one of the largest robot markets in the world. According to the data released by the Ministry of Industry and Information Technology, in 2020, the output of robots in China reached 242,000, and the sales revenue reached 51.1 billion yuan, up 8.5% year-on-year.

Low cost advantageCompared with Europe, America and other countries, the production cost of robots in China is lower, especially in the fields of processing and system integration.

Wide range of application scenariosChina robots have a wide range of applications, not only in traditional manufacturing, but also in services, health care and other fields, such as hotel reception, family support, surgery assistance and so on.

A fast-growing industryThe government’s support for the robot industry is one of the favorable factors for the development of robots in China. Policy support and industry innovation have continuously promoted the rapid development of robot industry in China.

The development prospect of robots in China is in a stage of rapid growth and expansion, and it is very likely that this trend will remain in the future. Here are some reasons:

Huge market demandWith the advancement of industrialization and the aging of the population, the demand for robots is increasing in the fields of manufacturing, medical care and service.

High technical levelChina is rising rapidly in science, technology and manufacturing at an alarming rate. With the introduction of advanced technology, the robot industry in China has also developed rapidly.

Comprehensive policy supportThe government is committed to providing all kinds of financial support for enterprises and encouraging more enterprises to invest and participate in the development of robots.

Innovative environmentAt present, the domestic robot industry has formed an innovation ecosystem, including research institutions, manufacturers, integrators, application services and other chains.

Accumulate rich experienceIn recent years, China robot enterprises have developed their business in overseas markets, gathered many excellent technical talents and R&D personnel, and accumulated rich experience and knowledge.

Based on the above reasons, the robot industry in China will develop at a high speed in the future, and at the same time, it will promote the progress of the whole intelligent manufacturing industry, thus comprehensively promoting the transformation and upgrading of China’s economy.

The robot industry in China is one of the most popular investment fields at present, but whether it is worth investing needs specific analysis. Here are some reference factors:

market prospectThe robot market in China is huge and has great potential for future development, which is a long-term and sustainable trend.

policy supportThe state has great support for the promotion of intelligent manufacturing and robot industry, and supports it in various policy forms, such as tax policy and financial subsidies.

Competition patternAt present, the competition in the robot industry in China is fierce, especially the competition between domestic enterprises and foreign brands in the market, which requires careful consideration of their respective advantages and disadvantages.

investment riskThe technology in this industry is changing rapidly, and the market share is uncertain. Therefore, investment needs to consider the sustainability of business model and control the risks.

Generally speaking, when investing in the robot industry in China, we should pay attention to the overall operation and financial situation of the corresponding enterprises, and at the same time pay attention to the impact of the global economic situation on the development and investment of the industry.

In a word, with the continuous promotion of new technologies and innovations in China, the coexistence of robots and humans will become closer in the future. China robot has strong competitiveness and market potential due to its large market demand, low production cost, wide application scenarios and government policy support.

The last stop of the ball king

I missed the quarter-finals of the Champions League again, and now it’s time for Paris to break up. The team must change the status quo a little now. "L ‘Equipe" recently talked about the future of Paris. At present, the top management thought is to build the team with Mbappé as the core of the team’s future. On the contrary, Messi, who is rumored to have a possible contract renewal, pointed out that the club has a high probability of giving up.

Although Messi won the Argentine championship in FIFA World Cup Qatar 2022 and got the last title puzzle of his career, it seems that Messi’s "nightmare" in the Champions League is not over yet:He fell to the quarter-finals for three consecutive years, missed the Champions League for eight consecutive years, and failed to break the door of Bayern for eight consecutive years.

Messi, who entered the animal year, announced the end of this season’s Champions League tour only in March. It’s so close and so far away from the fifth Champions League trophy, just like Jacky Cheung’s song.

Every time Messi has rumors of leaving the team, it is enough to shock football.

In the summer of 20 years, that "leaving email" that shocked football, he originally joined forces with his mentor Guardiola in Manchester City, almost decided to send out an application for leaving email, but Barcelona prevented Messi from leaving with the terms of "700 million liquidated damages".

In the summer of 21 years, Messi, who was originally married to Barcelona, was suddenly "abandoned" by Barcelona when he was enjoying the joy of winning the first America’s Cup, and had to switch to the Greater Paris in Neymar and Di Maria.

In the summer of 23 years, Messi will encounter a difficult "choice" again. In front of him, there are about three feasible ways.

Renew the contract with Greater Paris. So far, Paris Saint-Germain is the only club that has made a specific offer to Messi. However, Paris Saint-Germain also has its own problems, limited by the fiscal fairness bill, and there are rumors that they will make great adjustments to their lineup this summer, and some of them will have to reduce their salaries. The next few days will be the time for negotiations between the two sides.

Shares+real estate projects+various commercial marketing, MLS (American Professional League) tried its best to attract Messi to join.Join the American professional leagueProbably like Beckham in those days, except for a handsome salary, he may get his own franchise or a stake in Miami in the future.

The last road, of course, is the result that fans want to see most.Return to BarcelonaIt is the result that many Barcelona Messi fans have always wanted. After all, Barcelona still owes Messi a decent farewell ceremony. However, judging from the current salary space and financial situation of Barcelona, it is simply a gap to operate Messi’s return.

Xiao Bian believes that Messi will renew his contract with Paris in a high probability, at least in the five major leagues in Europe until the America’s Cup in 2024. After that, the plum ball king will make his next choice. Where do you think Messi will go this summer?

[Old Ghost Watching] The Premier League single-pass SMG Manchester United and Arsenal win.

Last night, Manchester United won the first title in the last five years, and casemiro, who headed the ball first in the game, contributed a lot. The Brazilian midfielder with strong fighting spirit is a natural winner. casemiro has played in various finals in his last nine times, and all the teams he played for have successfully won the championship and won the cup! Phil Jones also said after the game that casemiro is the spiritual leader of Manchester United.

Manchester United coach Tenhage’s number one goal before the season was De Jong of Barcelona, but as a result, he changed to casemiro. At that time, many fans thought it was a wrong decision to sign a 31-year-old midfielder with 60 million pounds, but casemiro proved his influence. This game is the 17th time that the Brazilian international has played in the Cup finals over the years, and he has won 15 of them, including the last 9 finals, all of which have won the championship, and four of them are Champions League finals. casemiro’s Champions League final in 2017 is also a key goal to lead Juventus.

Phil Jones, almost forgotten by Manchester United fans, has no chance to play this season, but he also feels the influence of casemiro: "casemiro has calmed the Manchester United team, and his leadership and game style have great influence on his teammates. As long as he is in the squad, you will see that this Manchester United is the most successful Manchester United in recent years." After the game, casemiro was photographed arguing with bruno fernandez about the specific details of the game. Fans all praised casemiro for winning many championships, and he was still persistent about what he didn’t do well in the game. He was definitely a natural winner!

Newcastle United lost the Carling Cup final last night. Before this game, the focus was goalkeeper carius. After 728 days, he played in the official game for the first time, and one kick was the final. Many fans were worried that something would happen to this goalkeeper with a criminal record of "butterfingers". However, the German goalkeeper’s performance in this game was excellent, and he made eight successful saves. He was not responsible for the two goals conceded by Newcastle United in the game, but carius’s performance won applause from fans.

Due to the suspension of Pope, the main starting goalkeeper, and Martin Dubrav, the No.2 goalkeeper, was not qualified to play in the game, which made carius have to be ordered to check the situation. He also saved eight shots with high catches and low blocks. After the game, Eddie Howe, the head coach of Newcastle United, said: "He played very well and comprehensively, and even scored very well. When we were behind, carius made a wonderful save, and he could be proud of his performance today."

Fans praised carius’s performance in the Carling Cup final, but the gloves he wore in this game were hotly debated by many people. A pair of brown gloves were very "retro", and a large number of fans left messages: "Are these gloves from World War II?"? Why is it the same as my grandfather’s gloves? "I know carius hasn’t played for a long time. Should I go to the workshop to find a pair of gloves temporarily?"

Angry, because you are not generous enough; Depressed, because they are not open-minded; Anxiety is because you are not calm enough; Sadness is because you are not strong enough; Melancholy, because they are not sunny enough; Jealousy is because you are not good enough …