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Joined March 2007

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  1. Pinned Tweet
    Dec 14

    Cover Story: In China, the concept of “social credit” has hit the mainstream—where your purchases, activities, and even your mistakes get tallied into a score that quantifies your reputation

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  2. 26 minutes ago

    Miners and scientists are working together to create deep sea mining technology that minimizes environmental destruction

  3. 2 hours ago

    Opinion: "Internet and telecom companies would be wise to stop fighting each other and confront the mounting animus towards all of them."

  4. 2 hours ago

    Still underestimating ? The prototype of their new mixed-reality goggles could change your mind

  5. 3 hours ago

    More than 400 video games were released in 2017. These are ones we felt were best

  6. 3 hours ago

    This snake bot is more likely to save your life than suck it out of you:

  7. 4 hours ago

    Slot-machine hacking, Trump's covfefe tweet, the iPhone X: Here are the most-read WIRED stories of 2017

  8. 5 hours ago

    Not sure what gift to get someone this holiday season? Try one of these books

  9. Retweeted

    I made a list of the 17 most-read stories on in 2017. Our readers have excellent taste.

  10. 6 hours ago

    "Like-minded people gathered before the internet era, but now it can be done with much less friction, and by more people," writes

  11. 7 hours ago

    These are the things venture capitalists will likely invest in come the new year

  12. 8 hours ago

    These tech books are worth your money

  13. 8 hours ago

    New Year's resolution idea: work out at least as hard as this robot:

  14. 9 hours ago

    "Social media can perpetuate a culture of supposed instant success and leads to a culture of insecurity, especially amongst young women"

  15. 10 hours ago

    With Magic Leap's augmented-reality goggles unveiled today, revisit our inside look at their secretive Florida headquarters in 2016

  16. 10 hours ago

    Not every product we see is truly exciting. These are the ones this year that actually were

  17. Retweeted

    Here is my first piece for about a very weird thing in AI called "adversarial examples." We still don't know how deep learning algorithms work, and they don't think like people do. Because of that, they end up making some really puzzling mistakes.

  18. 10 hours ago

    The method could one day be used to, say, dupe a luggage-scanning algorithm into thinking an explosive is a teddy bear, or a facial-recognition system into thinking the wrong person has committed a crime

  19. Retweeted
    Dec 14
  20. 11 hours ago

    The letter speaks of efforts to “hack” competitors’ apps, to steal trade secrets, data, passengers, and drivers

  21. 12 hours ago

    Opinion: "The US is pretending it can keep running an economy that's designed to make humans and machines compete for work"

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