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HomeTechnologyYouTube's lethal crafts, and DeepMind's new chatbot

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 instructing hundreds of thousands of loyal subscribers how you can bake since 2011. However the elimination electronic 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 are sweeping YouTube, tackling unsafe actions reminiscent of poaching eggs in a microwave, bleaching strawberries, and utilizing a Coke can and a flame to pop popcorn.

Essentially the most critical 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 folks 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 aren’t? Learn the total story.

—Amelia Tait

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

The information: The trick to creating AI-powered chatbot may be to have people inform it how you can behave—and power the mannequin to again up its claims utilizing the web, in keeping with a brand new paper by Alphabet-owned AI lab DeepMind. 

The way it works: The chatbot, named Sparrow, is skilled on DeepMind’s massive language mannequin Chinchilla. It’s designed to speak with people and reply questions, utilizing a dwell Google search or data to tell these solutions. Based mostly on how helpful folks discover these solutions, it’s then skilled utilizing a reinforcement studying algorithm, which learns by trial and error to realize a selected goal. Learn the total story.

—Melissa Heikkilä

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