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Elon Musk: "We are Summoning the Demon"

posted by LaminatorX on Monday October 27 2014, @11:23AM   Printer-friendly
from the doctor-faustus dept.

jimbrooking writes:

Elon Musk was recently interviewed at an MIT Symposium. An audience asked his views on artificial intelligence (AI). Musk turned very serious, and urged extreme caution and national or international regulation to avoid "doing something stupid" he said.

"With artificial intelligence we are summoning the demon", said Musk. "In all those stories where there's the guy with the pentagram and the holy water, it's like, 'Yeah, he's sure he can control the demon.' Doesn't work out."

Read the story and see the full interview here.

 
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  • (Score: 2) by tibman on Monday October 27 2014, @10:45PM

    by tibman (134) Subscriber Badge on Monday October 27 2014, @10:45PM (#110684)

    There are some fuzzier versions of AI out there. Neural network being the big one. It would be more like: if (confidence(data_analysis)>threshHold) {/*do stuff*/}. Which can certainly look like magic at times because of the unexpected decisions it can make.

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  • (Score: 2) by FatPhil on Monday October 27 2014, @11:34PM

    by FatPhil (863) <{pc-soylent} {at} {asdf.fi}> on Monday October 27 2014, @11:34PM (#110697) Homepage
    > if (confidence(data_analysis)>threshHold) {/*do stuff*/}

    There's probably even more:
    do(stuff_that_works_if_I'm_right in proportion to confidence(data_analysis)) +
    do(stuff_that_works_if_I'm_wrong in proportion to 1-confidence(data_analysis))

    (By which I mean to represent blended strategies for reaching Nash equilibria, it it wasn't clear.)
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  • (Score: 0) by Anonymous Coward on Tuesday October 28 2014, @08:50AM

    by Anonymous Coward on Tuesday October 28 2014, @08:50AM (#110790)

    There's nothing special about neural networks vs. other statistical machine learning techniques. Don't get me wrong, they've been quite successful in research, but people get excited because the word "neural" is in there when they are only very vaguely similar to a vastly oversimplified model of how the brain works. They're still just a clever way to store/learn a statistical summary of your data.

    • (Score: 2) by tibman on Tuesday October 28 2014, @01:25PM

      by tibman (134) Subscriber Badge on Tuesday October 28 2014, @01:25PM (#110842)

      I find neural networks that are "taught" using genetic algorithms and fitness functions to be way exciting (and organic) than computed answers. I threw in some more cool words to get people excited : )

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