YouTube’s lethal crafts, and DeepMind’s new chatbot


    Ann Reardon might be the final particular person whose content material you’d count on to be banned from YouTube. A former Australian youth employee and a mom of three, she’s been educating hundreds of thousands of loyal subscribers the way to bake since 2011. However the removing e mail was referring to a video that was not Reardon’s typical sugar-paste fare.

    Since 2018, Reardon has used her platform to warn viewers about harmful new “craft hacks” which can be sweeping YouTube, tackling unsafe actions akin to poaching eggs in a microwave, bleaching strawberries, and utilizing a Coke can and a flame to pop popcorn.

    Essentially the most severe is “fractal wooden burning”, which includes capturing a high-voltage electrical present throughout dampened wooden to burn a twisting, turning branch-like sample in its floor. The follow has killed not less than 33 individuals since 2016.

    On this event, Reardon had been caught up within the inconsistent and messy moderation insurance policies which have lengthy plagued the platform and in doing so, uncovered a failing within the system: How can a warning about dangerous hacks be deemed harmful when the hack movies themselves usually are not? Learn the complete story.

    —Amelia Tait

    DeepMind’s new chatbot makes use of Google searches plus people to offer higher solutions

    The information: The trick to creating a very good AI-powered chatbot may be to have people inform it the way to behave—and drive the mannequin to again up its claims utilizing the web, in response to a brand new paper by Alphabet-owned AI lab DeepMind. 

    The way it works: The chatbot, named Sparrow, is educated on DeepMind’s giant language mannequin Chinchilla. It’s designed to speak with people and reply questions, utilizing a reside Google search or info to tell these solutions. Based mostly on how helpful individuals discover these solutions, it’s then educated utilizing a reinforcement studying algorithm, which learns by trial and error to attain a particular goal. Learn the complete story.

    —Melissa Heikkilä

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