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posted by Dopefish on Monday February 24 2014, @06:00AM   Printer-friendly
from the i-for-one-welcome-our-new-computer-overlords dept.

kef writes:

"By 2029, computers will be able to understand our language, learn from experience and outsmart even the most intelligent humans, according to Google's director of engineering Ray Kurzweil.

Kurzweil says:

Computers are on the threshold of reading and understanding the semantic content of a language, but not quite at human levels. But since they can read a million times more material than humans they can make up for that with quantity. So IBM's Watson is a pretty weak reader on each page, but it read the 200m pages of Wikipedia. And basically what I'm doing at Google is to try to go beyond what Watson could do. To do it at Google scale. Which is to say to have the computer read tens of billions of pages. Watson doesn't understand the implications of what it's reading. It's doing a sort of pattern matching. It doesn't understand that if John sold his red Volvo to Mary that involves a transaction or possession and ownership being transferred. It doesn't understand that kind of information and so we are going to actually encode that, really try to teach it to understand the meaning of what these documents are saying.

Skynet anyone?"

 
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  • (Score: 2, Insightful) by kumanopuusan on Monday February 24 2014, @07:08PM

    by kumanopuusan (2575) on Monday February 24 2014, @07:08PM (#6071)

    Why give birth to biological children? Your argument applies equally to that.

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  • (Score: 1) by TheLink on Tuesday February 25 2014, @03:56AM

    by TheLink (332) on Tuesday February 25 2014, @03:56AM (#6374) Journal
    The last I checked most of the answers to "why create strong AI" seem a lot different to the answers to "why have children", at least when coming from not too crappy parents.

    The answers sound closer to those from farmers asked "why have chickens/cows/pigs".