Top of the Great Era

Zhou Buqi had previously communicated with Zhou Shaoning that Astar’s current market valuation can reach 350 billion U.S. dollars, while Nokia’s current market value is only 327 billion U.S. dollars.

If Microsoft and Samsung are not counted as companies that do not take mobile phone manufacturing as their core business, Astar is currently the second largest mobile phone manufacturer in the world after Apple.

This is very particular.

Asda has lost its reference object. As long as the valuation does not exceed Apple, Microsoft, and Samsung, how much difference can it make if the valuation is 350 billion U.S. dollars, or 450 billion U.S. dollars, or 550 billion U.S. dollars?
If Astar's valuation is high, then in the case of Motorola's mobile phone business, Google can get "a lot of money" and then feel proud.

Google's stock price soared, and Larry Page was in high spirits.

At the same time, Asda will also benefit.

Even Google has recognized the super-high valuation of Asda, why do other venture capital institutions not recognize it?So when Asda launches a new round of financing, it can use Google as a springboard to make a higher offer.

This allows Asda to raise more money while diluting the same shares.

It is definitely a mutually beneficial and win-win transaction.

Blowing bubbles is indeed a powerful weapon in the capital market!
The other party's proposal can really be considered.

Next, Larry Page mentioned the choice of the technical direction of cloud computing. This is a secret. Zhou Buqi can't just talk about it casually, so he prevaricates it by saying that he is a technical layman and doesn't know anything.

Larry Page then suggested, "I have a product in my hand, which is not very well done, but I think this direction is right, and it fits with many of Ziweixing's products. If you need it, you can take it away; If not, I will close the business in a few months."

"What product?"

Zhou Buqi would not have heard him say so well, Google is a listed company, and the company's assets cannot be given away casually.If Ziweixing wants this product, it must spend money to buy it.

Like slow-moving milk.

want to?

You have to pay for it.

Not buying?

I poured it directly into the stinking ditch.

Larry Page said: "Knol, do you know? A product designed to compete with Wikipedia was developed in 07 and launched in 08, but after several years of work, the results are not very good. Google's core strategy now is to make Social, some distracting and poorly performing products, will be turned off one after another.”

"Competitive products from Wikipedia?" Zhou Buqi was really interested, "Tell me specifically."

In China, Ziweixing has Micropoint Encyclopedia, which provides services similar to Wikipedia.

There are no such products in overseas markets.

Wikipedia is simply too powerful.

Fortunately, Zhou Buqi approved a deal two years ago, Ziweixing International acquired Quora, a content product platform, which is the legendary "American version of Zhihu".

Making content has always been a direction that Ziweixing is striving to develop in domestic and foreign markets.

In the future Internet market, in the final analysis, content is king.

Whoever owns the content has control over the hegemony.

Including the future artificial intelligence big language model is also.

For example, AI products such as ChatGPT and Wenxinyiyan must be trained with countless data content if they want to have amazing intelligence performance.

However, data cannot be used indiscriminately. Only public data or open source data can be freely used by developers around the world.

There is a very large free database in the world.

There are all kinds of languages, more than 90% are English corpus, and Chinese corpus data is about 2%.

Almost all AI models in the world rely on these public data content for training.Because the data are all in English, these AI models must be based on English.

So when Baidu's Wenxin Yiyan was launched, many incomprehensible things will appear... In fact, the reason is very simple. Wenxin Yiyan uses English data, and there are too few Chinese corpus data.

Regardless of the large number of people in China, there are not many truly valuable content on the Internet. If it is a little out of line, these valuable corpus will be deleted according to laws and regulations.

That leaves a bunch of crap that can't train the AI.

For example, what kind of book is "Top of the Great Era"?

If some people say it is good, and some people say it is not good, these contents are all valuable contents. After some training and evaluation, the AI ​​model can give a more objective and fair evaluation.

If the author wants to maintain the harmony in the comment area, leaving all the good content and deleting the bad content, and finally only a hymn is left, then even if these hymns are correct, this is spam.

Because there is a lack of diversified judgments for AI models.

From the starting point to the end point, there are [-] paths. The training of the AI ​​model is to go through all these [-] paths, and then choose the most suitable path. This is the value of AI.

Just like biopharmaceuticals, there are [-] options, and AI can help to give the best options, which will greatly reduce R&D expenses and increase the success rate of R&D.

If you only provide one path from the beginning, then what a waste of training, if you don’t give the AI ​​a chance to choose, judge, think and analyze, just tell him a standard answer, and the AI ​​will be meaningless.

The amount of data in German, French, Japanese, and Korean is too small, and the amount of data in Chinese is large, but there are very few valuable data due to environmental restrictions.

Therefore, if you want to train a world-class AI model, you can only use English corpus for training.

This requires some AI models of weak languages, and the ability to convert languages ​​into English.

It's like using Wen Xin Yi Yan and asking him to draw a picture of a crane.

The result was a crane.

This is very puzzling.

In fact, it is very simple. The English word for crane is crane, and crane mainly refers to crane in English.So the AI ​​model draws a picture of a crane.

Another example is "Coke Chicken Wings". Put it in the Chinese context, it is actually easy to understand, it is a dish.However, there is a translation process involved. When translating "Coke Chicken Wings" into English, the information is scattered during the translation process, resulting in the drawn Coke and Chicken Wings.

ChatGPT will also encounter such a dilemma.

If you ask questions to ChatGPT in English, the answering speed will be very fast and the accuracy will be extremely high; if you ask questions in other languages ​​such as Chinese, Japanese, Korean, French, German, etc., the response speed will be very slow, and the answers given will be very accurate. full of mistakes.

Because the amount of data in other languages ​​is too small, the trained model is not smart enough.

Only the English version is the smartest.

If Wenxin wanted to express himself more intelligently, he could not connect with Chinese corpus, but had to connect with English training data, and then added a set of translation algorithms and content review algorithms behind it.

Therefore, in order to make a great AI product, in addition to the top algorithms in the field of artificial intelligence, there is another very important factor, which is the data used to train the AI ​​model.

Some of these data are open source public data, which can be used all over the world.Some are private data that only you can use.

Silicon Valley giants such as Microsoft, Google, and Facebook can use not only huge public data, but also huge and valuable English private data. The AI ​​models they make will be better than those trained only on public data. AI models are more powerful.

Therefore, Zhou Buqi is very important to the content, especially the overseas English content.

These are all private data, which may become Ziwei Star's most valuable asset in the future world competition.

If the Knol that Larry Page said is really a product that benchmarks Wikipedia, it would be very meaningful.Wikipedia is public data, Knol is private data.

"Wikipedia is more like a dictionary, the content is relatively basic, and it is a product for the general public. Knol is a group of competent and authoritative users who work together to explain what a thing is, how to do it, the cause, the result and the result. Its surrounding things, and the author's real information is indicated, so that the content is more accurate and authoritative."

Larry Page made a simple comparison.

Zhou Buqi immediately understood the reason why Knol failed.

The accuracy and authenticity of information are actually not important at all. The public does not care about the truth at all, but only cares about appearances.This will form a phenomenon of "the more popular, the more popular" and "the more authoritative, the less popular".

Google wants to make Knol an authoritative content product. It has high intentions and great ambitions, but it is still difficult to gain enough users.

Just like Ziweixing's two products in China, Weizhi and Toutiao.

The content on Weizhi is much better than Toutiao.

However, Weizhi’s daily traffic is only more than 6500 million, but today’s headlines are as high as 2.8 million.It is because the content of Weizhi is so good, and the content of the headlines can attract the attention of the public very much.

The two had a brief exchange, and Zhou Buqi became more and more interested in the Knol product, and planned to go back and study it first.If it is suitable, you might as well buy it and modify it.

At the end of the meeting, the two talked about the topic of immortality.

Larry Page is very interested in this, "After the Twitter case is finalized, the next direction is to get the approval of the board of directors to try to do something in this field."

Zhou Buqi smiled, "How much money do you want to invest?"

Larry Page said in a big tone, "20 billion US dollars, too little funds and no need to get the approval of the board of directors. I plan to set up a subsidiary company specializing in biological research for anti-aging related research, the goal is to realize human Longevity and even immortality."

Zhou Buqi asked: "Combined with IT?"

Larry Page said frankly: "Of course, it must be related to artificial intelligence. Now every time humans research the efficacy of a protein, it may take dozens of medical experts to spend tens of millions of dollars to research it. If AI develops When you get up, you can completely decipher the functions of all known proteins of all human beings at once."

Zhou Buqi gave a thumbs up, "I have pursuit."

"You will also participate? AI is changing the world."

"of course."