Chapter 158 Crowdsourcing Services

After more than a month of adjustment, after Shirley came, the company consolidated the fruits of last year's labor and improved the company's organizational structure. At the very least, YouTube will not be afraid of the six major copyright threats. In particular, the company's revenue is getting higher day by day, and after last year's joint promotion, the biggest winners are YouTube and Twitter, because advertisers are willing to pay more for Twitter and YouTube promotion.

After starting the copyright cooperation negotiations, I thought it would not be difficult, but I didn't expect that there would be problems. For the cooperation of the six majors, Zhou Shi and they discussed three copyright cooperation, which can be up to one percent of the shares, and three strategic cooperation, which can be up to two percent of the shares.

Other companies are willing to talk in detail, but Sony Columbia's turn is in big trouble, and the other party makes all kinds of unreasonable demands, such as they want to buy YouTube for $1 billion, or buy shares according to $1 billion, which is almost like brain-dead, which also makes Shirley and Zhou Shi inexplicable.

But everything happens for a reason, and if the other party is willing to compromise, he will find a way to let you know the reason. Zhou Shi and Shirley are not in a hurry, if you want to find trouble, you can find trouble, at most we will take the legal route.

Pressed down on negotiations with Columbia Pictures, Shirley looks for her next target.

The development of the American Friends Network is okay, but there are still many problems. For example, there are many temporary and cumbersome chores such as the translation of websites in various countries. The cost overseas is much higher than that of the domestic one, and the funds are limited, so they also have to be careful with their budgets.

"What do you think?" Zhou Shi is not good at dealing with specific affairs, one of these two people is technology, the other is sales operations, and they don't seem to be good at the management of the company, and Zhou Shi has no good experience.

"Let's keep hiring, there doesn't seem to be a good way to do anything other than this. "Shen Haoyu

"Is there really no other way? I don't believe it. "Zhou Shi is simple and straightforward

Lu and Shen were not easy to answer, and waited for Zhou Shi's statement.

"We outsource some simple and tedious work to netizens through the Internet, what do you think?" Zhou Shi looked at the two of them as if he still didn't understand, "Do you know Amazon Mechanical Turk? We will use their platform first, and then build our own crowdsourcing platform after stability! Of course, it is better to use their platform less, we will be competitors in the future." You can use the API interface to access the friend network in the form of a third-party application. Zhou Shi emphasized again.

"Amazon Mechanical Turk?" the two don't seem to know each other very well, and it's possible that now is not the time for crowdsourcing platforms to grow. The first big development of crowdsourcing was in the subprime mortgage crisis, and then with the development of artificial intelligence, the role of crowdsourcing platforms has become more and more important.

"Why are we developing our own crowdsourcing platform?" Lu Qi didn't know why he asked this first, and not anything else.

"What do you think about deep learning and artificial intelligence?" Zhou Shi

Lu Qi looked at Zhou Shi with a big head, where are you here, what are you doing with a crowdsourcing platform so far?But Zhou Shi didn't let him think about it for a long time.

"Do you say that our data analysis, machine learning and artificial intelligence research should deal with a lot of data, is there a lot of repetitive and tedious simple work, and even in the future, will there be such a platform for self-learning and evolution of artificial intelligence?" Zhou Shi's unexpected answer shocked the two again, Zhou Shi's success is really not unreasonable, and his foresight obviously surpasses that of many people in the industry. There are many things that even professionals like them don't know what to do next, and Zhou Shi has already started to prepare in advance. He doesn't understand artificial intelligence, but he knows what external conditions are needed to develop artificial intelligence, and he still completes the layout quietly.

"This crowdsourcing platform is the direction of our future?" asked Shen Haoyu

"It's just a tool, we just need to make sure it's easy to use, and if it develops to the end, it's obviously a good business to monopolize the market. ”

"I think crowdsourcing is a great idea that will make a big difference in the future. ”

Isn't this nonsense, behind the rise of deep learning and artificial intelligence, there is a huge computing infrastructure that continues to devour data. Google's open-source Google Open Image Datasets contains 9 million images, Youtube-8M contains 8 million tagged videos, and the ImageNet project, chaired by Li Feifei, is the earliest image dataset with more than 14 million classified images. Most of this carefully labeled data was completed by 50,000 people on Amazon's labor outsourcing platform over a period of two years. Workers from all over the world, alternating day and night, manually enter and sort the data to distinguish whether there is a "dog" in the next photo, and whether the "bass" in the statement is a bass or a bass. By 2018, Amazon's crowdsourcing platform even had millions of registered users, with more than 20,000 monthly active users.

Some people even commented on the Amazon Mechanical Turk platform: "When humans become assembly line workers who feed machines, Amazon AMT has also become the Foxconn in the AI era." "But in any case, crowdsourcing platforms may be modern sweatshops, but they are also an opportunity for the further development of artificial intelligence.

Zhou Shi and the others discussed the establishment of a crowdsourcing platform, thinking that there should be no problem, through clear and clear rules, to eliminate the transaction costs of the market, can achieve better results than outsourcing companies, so that these workers can use their leisure and fragmented time to obtain lower salary than the minimum standard stipulated in the United States.

Facebook's Xiaozha uses the volunteer model to explore overseas markets, and Zhou Shi adopts the crowdsourcing model, and the professionalism of building the website is obviously different, and it reflects the different thinking patterns of the founders of the two sides, and I don't know what the media will discuss in the future.

The social network of US imperialism, Friendster is declining more and more, MySpace is dominant, and Facebook and friends are struggling to catch up. Zhou Shi originally wanted to buy Friendster, but the other party's asking price was too high, and Zhou Shi was a little hesitant. The main reason is that the names of the two are too close, and there will be a lot of trouble if he is allowed to exist. The user value of Friendster doesn't seem to be very great for Friendster.

Friendster is the originator of authentic SNS. It reached 3 million within a few months of its launch in 2002, doubled to 8 million registered users a year later, and at its peak there were 200,000 new users added every week, 20 people per minute, and it is said that almost one in three people in Silicon Valley was using Friendster at that time, she was the largest SNS site before 2004, and at its peak in 2008, Friendster had more than 115 million users, and in 2009, it was used by Malaysia's MOL Global acquired for $26.4 million.

To acquire such a broken settlement, Zhou Shi entrusted this matter to Lehman, so as not to open his mouth to the other party, and at the same time, it also passed the approval of the board of directors of domestic time friends. Although it is not yet known what the final purchase price will be, several domestic venture capital shareholders have not participated in such a large-scale asset restructuring.

(End of chapter)