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HomeArtificial IntelligenceYouTube's lethal crafts, and DeepMind's new chatbot

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

Ann Reardon might be the final individual whose content material you’d anticipate to be banned from YouTube. A former Australian youth employee and a mom of three, she’s been educating tens of millions of loyal subscribers how one can bake since 2011. However the elimination 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 are sweeping YouTube, tackling unsafe actions resembling 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 entails taking pictures a high-voltage electrical present throughout dampened wooden to burn a twisting, turning branch-like sample in its floor. The apply 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 present higher solutions

The information: The trick to creating a very good AI-powered chatbot may be to have people inform it how one can behave—and power the mannequin to again up its claims utilizing the web, based on 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 realize a selected goal. Learn the complete story.

—Melissa Heikkilä

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