1. We are (or at least I am) used to thinking about robots as relatively autonomous contraptions: reliant on the sensors, memory, and processing power they carry on board. That sort of structural autarky represents a huge functional constraint; building machines that must carry the equipment to detect everything they’ll need to detect to do their jobs, process the incoming information, and draw upon an internal database that covers most every eventuality greatly limits the functions that can economically be done by robots. But that constraint no longer binds. The world is now blanketed in sensors, most of which are connected to the internet. The machines of the future will be able to draw on that information (or a lot of it, anyway) and use it to inform themselves about their surroundings
     
  2. 15:05

    Tags: funny

    image: Download

    (via Cartoon: Google bus)
     
  3. The Vatican Apostolic Library has announced it will digitize all 82,000 manuscripts in its 135 collections…. That’s 41 million pages spanning nearly 2,000 years of church history
     
  4. Silicon Valley has become one of the most ageist places in America. Tech luminaries who otherwise pride themselves on their dedication to meritocracy don’t think twice about deriding the not-actually-old
     
  5. image: Download

    (via Pin by Lynette on Randomness | Pinterest) - great error message from Virgin

    (via Pin by Lynette on Randomness | Pinterest) - great error message from Virgin

     
  6. Over 720 million videos rendered, with 9 million videos rendered per hour
    In early January we decided to move forward with the idea of creating Look Back videos… We had only a faint idea of how we would make more than a billion videos in 25 days….. [Results:
    Over 200 million people watched their Look Back movie in the first two days, and more than 50% have shared their movie]
     
  7. I can’t believe that it is a tourist attraction there … such a difference in attitudes

     
  8. Great eloquent, cutting & direct speech, shame so few people were in chamber to see it live but thank god for the Internet.

     
  9. Rule 1: “The war room and the meetings are for solving problems. There are plenty of other venues where people devote their creative energies to shifting blame.”

    Rule 2: “The ones who should be doing the talking are the people who know the most about an issue, not the ones with the highest rank. If anyone finds themselves sitting passively while managers and executives talk over them with less accurate information, we have gone off the rails, and I would like to know about it.” (Explained Dickerson later: “If you can get the managers out of the way, the engineers will want to solve things.”)

    Rule 3: “We need to stay focused on the most urgent issues, like things that will hurt us in the next 24—48 hours.”

    The stand-up culture—identify problem, solve problem, try again—was typical of the rescue squad’s ethic.

     
  10. This is the story of a team of unknown—except in elite technology circles—coders and troubleshooters who dropped what they were doing in various enterprises across the country and came together in mid-October to save the website. In about a tenth of the time that a crew of usual-suspect, Washington contractors had spent over $300 million building a site that didn’t work, this ad hoc team rescued it and, arguably, Obama’s chance at a health-reform legacy.
     
  11. Apple needs to answer some serious questions.

    Why wasn’t this broken code spotted by some sort of review process before it ended up in a software build? After all, this sort of mistake can even be picked up by various automated code analysis tools, let alone by human reviewers.

    Why wasn’t the failure picked up in the testing phase, before the software was published? After all, testing that each step in a security authentication process still works is kind of important.

    Why was a patch for iOS released, thereby revealing the existence of the problem and giving security researchers good and evil the opportunity to reverse engineer it and see whether the problem also existed in OS X — which it did — before that operating system was also patched? After all, both operating systems are produced by the same company. Don’t these people talk to each other?

    I think we have some cultural problems here, folks

     
  12. (via Online-to-Offline: From the App to Aisle)
     
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  14. image: Download

    (via xkcd: Mobile Marketing)
     
  15. DeepMind has been building “learning algorithms — ones that automatically learn how to do things from raw data, rather than being programmed to do things”. … The only public demonstration so far of what his company has achieved was getting his AI to learn how to play Space Invaders on an old Atari computer just by showing it the information on screen