Monday, January 4, 2016

When the machine will write a novel Mo Yan s Terminator to do

When the machine will write a novel, Mo Yan's

Starting from the 1999 study, each September, National Novel Writing Month (NaNoWriMo Kenzo tiger iPhone 6 case

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) Is a special event for writers. It's kind of like the game, contestants were asked at the beginning of September began to write a novel, ends before the end of this month, at least 50,000 words in length. The event this year is the 15th, and participation in activities from the initial development of 21 people to 200,000 people today (2010).

Last year, a man named Darius Kazemi network creators to mimic NaNoWriMo, launching a group called National Novel Generation Month (NaNoGenMo) activities, key word of "writing" into "production", where the rules changes: the writer is a man, but machines with artificial intelligence.

Such as this one, I have a pet alligator of a novel which is generated by the code, the programmer from 10 o'clock in the morning to write code, by midnight, the program handed over a hundreds of thousands of words of the novel.

Readability of novels can't guarantee, and no one really cares about. Some basic rules and stuff just to give the program sources, it will start its own "creation".

NaNoGenMo last year, has a lot of original material from press reports, Twitter, science fiction, or Jane Austen, finally rendering results, like two roommates about cleaning disputed 50,000 word length and the other looks like a first-grade primer. Of course, no one expects robotic versions of Shakespeare or Hemingway, but occasionally some readable content. Kazemi's own work was like sponsors start like this:

"Philomena, and Dita, and Vivianna, and Darby, Kiah and Gale sad to discover that their uniform by his irresponsible mother left in the party. "

Still is enough.

Literature is not what Kazemi after, he is looking for is a stunning "foreign culture" and "machine to machine. "

In fact, writing machines are not new, there have been many media are on the front lines began to use machines to write. Last year, a Los Angeles earthquake early this morning, the first message is the software issued by the Los Angeles Times; Meanwhile, used by more than 20 mainstream media Narrative Science launched a software can replace manual written reports of the same name.

Machine writing highly stylized, limitations, more common in sports, finance, weather reports, and more data or charts more than subjective information field of the comment. System provides several versions of the writing model, the machine will use the syntax and format of the data, and then written, at first glance, read really like writing.

Kristian Hammond, founder of Narrative Science predicted that in 2017, the machine can write a Pulitzer Prize-winning news reports that by 2030, 90% news from the machine.

He may be right, but the software needs to be improved where there is too much. Than in 1952 write a touching love letter the Ferranti Mark 1 machine, existing similar software and not much real progress.

At present, Google, IBM and other companies have invested a lot on semantic analysis of natural and human resources. The latter's "Watson" (Watson), the super computer, have been able to "understand" normal English, and humans can be a simple "dialogue." You give it an information input, it will output a message to output what is by its own (in accordance with the established rules) judgment.

Future news will be like "Watson", when the machine gets a message, it will output some content according to context.

Another problem is that the machine can create a literary work? Anyone doing experiments, articles some level, according to some rule to change the order of statements, cut off some content can get an unexpected result. Just like a game, if you put a bunch of subject, predicate, object, attribute, adverbial and complement categories into a different box, then any extract one as a single sentence, the final result may be funny, or it could be very poetic. This game is very easy to write programs, the machine is not difficult to understand.

But this art is too random, nor the ultimate mission of the semantic analysis of natural, so no need to be on top of this a lot of thought. The most likely scenario, the machine will not replace the work of those authors, but will like the amplifier with guitar, pottery wheel from the sculptor, the machine will become the creative collaboration tool.

https://www.youtube.com/watch?v=0tmZUXKJ6GU

Kazemi, whether it is rigorous journalism, literary and artistic creation, which is not what we expect of the artificial intelligence. He looks forward to the day when the machine out of human syntax set, write some of the machine's own, which is "foreign" thing.

Article compiled from SingularityHub Kenzo case

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