Zhou Hongyi: Artificial intelligence has bubble pure AI without business model

Recently, Zhou Hongyi, Chairman and CEO of 360 Company, mentioned his views on artificial intelligence in his speech in Beijing. After a recent survey of a series of artificial intelligence companies in Silicon Valley, he believes that the entire artificial intelligence in the United States will become the next industry bubble, similar to the O2O model that flocked to the current year. And stressed that pure artificial intelligence has no business model, must be combined with a field, an industry.

When applying artificial intelligence to the search service, he believes that there will be two main usage patterns, one is "you ask me to answer", similar to Apple's Siri. From the search for big data to artificial intelligence, let the phone answer your questions, you need a more accurate answer; the other is "I search for you", using artificial intelligence technology to understand a person's preferences, use The machine automatically helps him aggregate the content of interest, which is commonly referred to as information flow or automatic recommendation.

Search for two directions for future development: you ask me to answer, I search for you

Searching and navigating to subsequent developments, it actually produces two branches, with two important directions.

One of them asks you to answer me, just like Siri made by Apple. Extending from the search for big data to artificial intelligence, so that the phone can answer your questions, this time you need a more precise answer, so this one direction.

There is also a direction. In fact, many of the information content of today must be partial entertainment and partial sports. Because everyone is rich in life, they are more entertaining. But in entertainment content, many times you don't have a clear keyword, saying that I know what I am looking for. A lot of time is to have fun, 30 minutes of fragmentation time, I hope to watch some videos and see some information, but I don't have a clear goal. At this time, we made a statement that I searched for you. It is also the technique of using artificial intelligence. After understanding a person's preferences, I use the machine to automatically help him to aggregate, find the content he is interested in, and then push it to him. There is no need for the user to go through a keyword to find, someone calls this information flow, and some people call this automatic recommendation.

In fact, the name is not important. What is important is that I think these two directions represent the development of future search.

We are in search, because after all, there is a lot of accumulation, in terms of technology, I think it can compete with Baidu, Google and other manufacturers. In the past few years, we have hundreds of millions of users, and we have accumulated a lot of user preferences and habits. Because big data is calculated, you can have great information about this kind of user.

We have done some explorations in these two aspects. We can see that on our smart hardware products, our children's watches and children's robots have been able to do human-machine dialogue. We also cooperated with Beijing TV Station and cooperated with some traditional media in Beijing to invest in the new media group, because we just started, but we will put our search technology into this aspect, put our artificial intelligence discovery technology into it, and then With the combination of content, we hope to be able to explore security. We also hope that we will have some of our content software in the user's mobile phone in the future, which will allow users to spend 40 minutes to an hour a day.

How to look at artificial intelligence: there is a bubble, pure AI has no business model

Go's AlphaGo defeated South Korea's top nine masters and made a popularization of artificial intelligence. But everyone has a lot of arguments about artificial intelligence. For example, is artificial intelligence a terrible consequence? In the end, what is the level of artificial intelligence?

I am talking about my personal point of view.

First, the artificial intelligence industry has a bubble component.

I also went to Seattle this year and went to Silicon Valley to visit some companies. I didn't go to Stanford, went to Berkeley, and did some communication with Berkeley's eight laboratories. I feel that the whole artificial intelligence in the United States will become the next. An industry bubble, come out to be a company today, you have to say that you are using deep learning, artificial intelligence, you are embarrassed to come out. Just two years ago, if you want to say that you are O2O, you are embarrassed to go to finance. I think this is a bubble.

Second, pure artificial intelligence has no business model.

Artificial intelligence must be combined with a field and an industry. For example, the launch of AlphaGo's DeepMind, a British company acquired by Google, is just a way for them to embody artificial intelligence. They can use the computer algorithm to do a lot of things in the future, such as using computers to manage mutual funds. With a return on investment that is one percentage point higher than a manually managed fund, it can become the world's largest fund management company. So we have seen many companies in the United States from a pragmatic perspective, combining artificial intelligence with many things.

Third, artificial intelligence is not enough to threaten humanity.

Today's artificial intelligence does not have many literary authors, or many literary youths, and many sci-fi movies imagine as magical. In fact, today's artificial intelligence strictly means that computers do not produce thinking, and it is even less likely to produce consciousness. Without consciousness, there is no emotion. Therefore, the machines in the "Terminator 1, 2" that everyone is worried about destroy the human world. Everyone thinks it is still far away.

Let me give you an example. I talked to them in Berkeley. Today's so-called artificial intelligence is just called a new bottle of old wine. In other words, the computer computing power is enhanced, which makes the past algorithm have a great speed improvement; today's Internet and The access of the mobile phone collects a large amount of data, and then uses the deep learning algorithm, on the basis of big data, actually enables the computer to make some qualitative leap in some areas, for example, in image recognition, Now the computer gives you 100,000 photos, all beautiful, and then show it a new photo, let it judge whether it is beautiful.

We are already doing this kind of thing now. Now there are hundreds of thousands of anchors every day to the pepper platform. I have to rate him by hand. I found that it is really too late, and the scoring standards are not uniform. We took the computer to automatically score, and later found that the standard is all awl face, the computer will define all the awl face as a beauty.

Conversely, let the computer understand the language we speak. If we say something, we can do real human-machine dialogue, and we can't do it until now. So you see Siri, why don't you use it once? Because you talk about it again, you know that it is not a real person, including that we see a lot of human-machine dialogue, not that it is smart, because it has a lot of dialogue. Corpus, such as taking your conversation out is the answer to another person's question, which does not represent true artificial intelligence. So at this point, today's artificial intelligence I think it will take at least five to ten years to develop in the future.

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