Chapter 2045 AI Changes the World
Chapter 2045 AI changes the world
Author: Wilderness Elegy
Zhou Buqi previously communicated with Zhou Shaoning that Asda's current market valuation can reach US$35 billion, while Nokia's current market value is only US$32.7 billion.
If you don't count companies like Microsoft and Samsung that do not focus on mobile phone manufacturing, then Asda 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 its valuation does not exceed Apple, Microsoft, and Samsung, how much difference can it make if the valuation is US$35 billion, US$45 billion, or US$55 billion?
If Asda's valuation is high, then in the Motorola mobile phone business deal, Google can get "a lot of money" and feel proud.
Google's stock price soared, and Larry Page was in high spirits.
At the same time, Asda will also benefit.
Even Google recognizes Asda's ultra-high valuation. Why don't other venture capital institutions agree? So when Asda launches a new round of financing, it can use Google as a springboard to launch a new round of financing.
A higher quote.
This allows Asda to raise more money while diluting the same number of shares.
It is definitely a mutually beneficial and win-win transaction.
Blowing bubbles is indeed a powerful tool in the capital market!
The other party's proposal is really worth considering.
Next, Larry Page mentioned the choice of the technical direction of cloud computing. This is a secret. Zhou Buqi cannot just talk about it casually and just pretend that he is a technical layman and does not understand anything.
Larry Page then suggested, "I have a product in my hand. It's not very good, but I think it's in the right direction, and it's consistent with many of Ziweixing's products. You can take it away if you need it;
If not, I will close the business within a few months."
"What product?"
Zhou Buqi would not listen to what he said so nicely. 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 unsaleable milk.
want to?
You have to spend money to buy it.
Not buying?
I poured it directly into the smelly ditch.
Larry Page said: "Knol, you know? A product designed to compete with Wikipedia was developed in 2007 and launched in 2008. However, after several years of use, the results were not very good. Google's core strategy now is to
Social networking and some products that are distracting and perform poorly will be shut down one after another."
"Wikipedia's competitor?" Zhou Buqi was really interested, "Tell me more about it."
in the country, Ziweixing has Weidian 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".
Producing content has always been a direction that Ziweixing is striving to develop in domestic and foreign markets.
In the future Internet market, content is ultimately king.
Whoever has the content has hegemony.
Including future artificial intelligence large language models.
For AI products such as ChatGPT and Wen Xinyiyan, if they want to achieve amazing intelligent performance, they must be trained with countless data contents.
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 around the world.
There are all languages available, more than 90% of them are English corpora, and the Chinese corpus data is only about 2%.
Almost all AI models in the world rely on these public data contents for training. Because they are all English data, these AI models must be based on English.
So when Baidu's Wen Xin Yi Yan is launched, many things that are difficult to understand will appear... In fact, the reason is very simple. Wen Xin Yi Yan uses English data, and there is too little Chinese corpus data.
Despite the large number of people in China, there is not much truly valuable content on the Internet. If it goes a little too far, these valuable corpus will be deleted according to laws and regulations.
What's left is a bunch of junk content that can't be used to train AI.
For example, what kind of book is "The Peak of the Great Era"?
If someone says it's good and someone says it's not, these contents are all valuable. After some training and evaluation, the AI model can give a more objective and fair evaluation.
If the author wants to maintain harmony in the comment area and leaves all the good stuff and deletes all the bad stuff, leaving only a chorus of praises, then even if these praises are correct, this is still spam.
Because there is a lack of diversified judgment for AI models.
There are ten thousand roads from the starting point to the end point. The training of the AI model is to walk all these ten thousand roads and then select the most suitable road. This is the value of AI.
Just like biopharmaceuticals, there are 10,000 choices. AI can help give you the best choices, which will greatly reduce research and development expenses and increase the success rate of research and development.
If you only provide one path from the beginning, it will be a waste of training. If you don’t give the AI the opportunity to choose, judge, think and analyze, and just tell it a standard answer, 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. However, due to environmental limitations, there is also very little valuable data.
Therefore, if you want to train a world-class AI model, you can only use English corpus for training.
This requires some AI models for weak languages, which must have language conversion capabilities to convert them into English.
Just like using Wen Xinyiyan and asking him to draw a picture of a crane.
The result was a crane.
This is very puzzling.
It's actually very simple. The English word for crane is crane, and crane in English mainly refers to crane. So the AI model drew a picture of a crane.
Another example is "Cola Chicken Wings". In the Chinese context, it is easy to understand that it is just a dish. However, there is a translation procedure. Translating "Cola Chicken Wings" into English causes problems during the translation process.
The information is dispersed, resulting in the drawing of Coke and chicken wings.
ChatGPT will also encounter this dilemma.
If you ask questions to ChatGPT in English, the response speed will be very fast and the accuracy will be extremely high; if you ask questions in Chinese, Japanese, Korean, French, German and other languages, the response speed will be very slow and the answers given will also be
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 Wen Xinyiyan wants to express it more intelligently, it cannot connect to Chinese corpus. It has to connect to English training data, and then add a set of translation algorithms and content review algorithms behind it.
Therefore, if you want to make a great AI product, in addition to the top algorithms in the field of artificial intelligence, there is also a very important factor, which is the data for training the AI model.
Some of these data are open source public data that can be used by the whole world. Some are private data that only you can use.
Silicon Valley giants like Microsoft, Google, and Facebook can use not only huge public data, but also huge and valuable English private data. The AI models they produce will be better than those trained only on public data.
AI models need to be more powerful.
Therefore, Zhou Buqi is very important for content, especially overseas English content.
These are all private data and may become Ziweixing's most valuable asset in future competition in the world.
If the Knol mentioned by Larry Page is really a product that targets Wikipedia, it would be very meaningful. Wikipedia is public data, and 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 capable and authoritative users who work together to explain what a thing is, how to do it, the causes, consequences and
Its surroundings, and indicate the author’s real information, so as to make the content more accurate and authoritative.”
Larry Page made a simple comparison.
Zhou Buqi immediately understood the reason for the failure of the Knol product.
The accuracy and authenticity of information are actually not important at all. The public does not care about the truth at all, only the appearance. This will form a phenomenon of "the more popular, the more popular" and "the more authoritative, the more niche".
Google wants to build Knol into 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 domestic products, Weizhi and Toutiao.
The content on Weizhi is much better than Toutiao.
However, Weizhi’s daily traffic is only over 65 million, while Toutiao’s daily traffic is as high as 280 million. This is because Weizhi’s content is so good, and Toutiao’s content is very capable of sensationalizing and capturing the public’s attention.
After a brief exchange between the two, Zhou Buqi became more and more interested in the Knol product and planned to go back and study it first. If it is suitable, he 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 step is to get the board of directors' approval to try to do something in this field."
Zhou Buqi smiled half-heartedly, "How much money do you need to invest?"
Larry Page said loudly, "U.S. 2 billion. The funds are too small and there is no need to ask the board of directors for approval. I plan to establish a subsidiary specializing in biological research for anti-aging related research, with the goal of realizing human
Long life and even eternal life.”
Zhou Buqi asked: "Integrated with IT?"
Larry Page said frankly: "Of course, it must be related to artificial intelligence. Now every time humans study 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
If we get up, we can decipher the functions of all known proteins in mankind at once."
Zhou Buqi gave a thumbs up, "I have a pursuit."
"Will you also participate? AI is changing the world."
Chapter completed!