This article is produced by NetEase Smart Studio (public number smartman 163). Focus on AI and read the next big era! [Netease smart news October 23 news] Just as the emergence of the video erased the radio star's post, artificial intelligence will also destroy the work of writers, reporters and editors. From Freerr freelancers to New York Times reporters, a large number of textual experts may soon find themselves unemployed. However, they were not beaten by overseas competitors but were defeated by algorithms. In order to understand the future of writing and the appearance of artificial intelligence writers, we first need to understand the types of work that are already being replaced. Automation does not extend the reach of the antennae to all jobs equally. This is very easy to see in American society. Ohio, in the post-industrial hinterland, presents a completely different picture than a highly concentrated intellectual capital city like San Francisco. Although the spearhead is directed at overseas competition, it seems that the biggest job killer is not outsourcing, but automation. After all, U.S. manufacturing has performed quite well: manufacturing has grown by nearly 2.2% annually, far faster than the overall economic growth in the United States. In 2016, the U.S. economy grew by 1.6%. It seems that manufacturing is booming and the number of workers is not. But why is the work of the factory so easily affected by the robot? Why are not San Francisco programmers or New York writers affected? This is due to the task. Diversified organizations such as Oxford, McKinsey and PricewaterhouseCoopers have concluded that the jobs that are most easily automated have several important commonalities. They must have repetitive routines and a high degree of predictability. Reference can be made to assembly lines or storage boxes in large warehouses. The jobs in these positions are simple and straightforward and do not require adaptation or lateral thinking. On the contrary, highly unpredictable work and complex problem-solving needs are less likely to be accepted by the machine. NPR has a gadget that can predict the likelihood of your job being replaced by automation. This gadget's rating for the writer's position is that 3.8% of the possibilities are replaced by computer programs. The traditional view is that creativity is not easily copied by machines. Is that right? To make an AI programmer's work efficient, it must be tested by Turing, in which the computer must deceive humans and make them mistakenly think that it is human. This is especially important for creative algorithms. Users don't want to use content created by robots because we don't think robots can effectively connect with us on the emotional level. We think that there is no formulation of creativity, that is, we cannot simply The literary works such as "War and Peace" were simplified into algorithms and binary input. But the reality is that programmers can actually inspire creativity and they have done it. As early as 2011, an undergraduate at Duke University modified an algorithm to break poetry into smaller parts (eg, poems, lines, phrases) and automatically generate poetry. One of them was even adopted by The Archive, Duke University’s literary journal. Therefore, the work of this artificial intelligence writer was considered as a human work, and thus passed the Turing test. Of course, in the New York Times, there is a world of difference between a nine-pronged poem and a lengthy article. However, it is important to realize that this is a key milestone. For many years people have always thought that creativity is beyond the reach of the machine. Today, artificial intelligence has created poetry, songs, and even short films, which have become reality. What would a robotic writer look like? Some people think that the existence of AI writers is unimaginable. One of the reasons for this may be that most AI writers are hard to reach the similar level of human writers. For example, Facebook closed its artificial intelligence language construction system because they could not effectively use natural languages. However, ignoring artificial intelligence because of such events is very dangerous because artificial intelligence has taken its place. Not only do artificial intelligence writers pass the Turing test, but they can also rely on specialized algorithms such as deep learning to hone their writing skills. The recent deep learning application has caused workers to defeat humans in the Go tournament. In addition, artificial intelligence has been able to seamlessly process large amounts of data all the time, while humans still need to eat and rest. For example, despite initial setbacks, IBM's Watson has been able to analyze thousands of reports, generate his own insights, and even help doctors diagnose and save lives. This is a small step for robotic writers. In advertising, artificial intelligence copywriting is very versatile: they can draft hundreds of different advertising campaign texts, test and analyze the advantages of each different iteration, and use deep learning to quickly create good works. The most important thing is that artificial intelligence does not need to rest, get paid, and there is no need to spend money on the award ceremony. In order to avoid repeating the mistakes, it is clear that we need a new way of cooperation between people, not competition. In fact, there has been an article written by an AI writer on The Washington Post. Media executives turned to artificial intelligence writer Heliograf to help expand their online audience. The editors input keywords and templates for various news events to Heliograf. Heliograf then searched for data and keyword matches on the web, and then it generated reports or reminded reporters to repeatedly check the text for errors. Heliograf can write simple reports on events such as elections or the Olympic Games. However, they can't do in-depth analysis. This is a decision that the Washington Post made after careful consideration. This article does not use some well-studied narratives to attract small segments of the audience. It used Heliograf to create a large number of short, small reports that increased page views. As an enhanced intelligence that works with humans, Heliograf is a more aggressive model of human-computer interaction. Humans still have the opportunity to continue researching and writing in-depth articles such as reports on maternal mortality in the United States and private investigations into private prisons. Even if machine learning matches artificial intelligence with human writing ability and can screen a large amount of data, the interest points of interest and interviews of human beings are difficult to control. In the future, reporters may write relatively few simple reports and publish more high-level analysis and investigation articles. However, the pain may be inevitable: the emergence of the new version of Heliograf may cause massive layoffs because the media may cut costs by dismissing local reporters and sports reporters, even if the investigator's position is retained. Manufacturing may have some similarities: automation increases output, expensive manpower is laid off, and the rest of the work requires more advanced education or experience. Ultimately, it depends on numbers: A human welder charges $25 per hour (plus benefits and holidays), and robots are installed, maintained, and operated at only $8 an hour. One thing is absolutely clear about the future of writing: Artificial intelligence writers have emerged. However, the magnitude of the danger it poses, the amount of lay-offs we can meet, and the amount of pain associated with it are still unclear. Indeed, people want to be able to interact with artificial intelligence in an enhanced smart mode, but this does not mean that writers can sit back and relax. After a decade or two, writers may find themselves in the same predicament as factory workers who are now being replaced. (Selected from: TNW compilation: NetEase see intelligent compiler platform review: small ka) Pay attention to NetEase smart public number (smartman163), get the latest report of artificial intelligence industry.