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

Ann Reardon is almost certainly the last individual whose content material you’d be expecting to be banned from YouTube. A previous Australian youth employee and a mother of three, she’s been teaching hundreds of thousands of loyal subscribers how to bake given that 2011. But the removal email was referring to a video clip that was not Reardon’s regular sugar-paste fare.

Because 2018, Reardon has used her platform to alert viewers about dangerous new “craft hacks” that are sweeping YouTube, tackling unsafe things to do this sort of as poaching eggs in a microwave, bleaching strawberries, and working with a Coke can and a flame to pop popcorn.

The most significant is “fractal wood burning”, which will involve shooting a substantial-voltage electrical latest across dampened wooden to burn a twisting, turning department-like sample in its surface area. The follow has killed at least 33 people considering that 2016.

On this celebration, Reardon experienced been caught up in the inconsistent and messy moderation insurance policies that have extensive plagued the platform and in doing so, exposed a failing in the program: How can a warning about dangerous hacks be deemed risky when the hack videos themselves are not? Read the comprehensive story.

—Amelia Tait

DeepMind’s new chatbot utilizes Google searches additionally humans to give far better answers

The news: The trick to making a good AI-driven chatbot may be to have humans convey to it how to behave—and power the design to back up its claims making use of the world-wide-web, in accordance to a new paper by Alphabet-owned AI lab DeepMind. 

How it functions: The chatbot, named Sparrow, is skilled on DeepMind’s substantial language product Chinchilla. It’s intended to speak with individuals and solution questions, utilizing a are living Google look for or data to notify people answers. Based on how practical men and women obtain individuals solutions, it is then properly trained applying a reinforcement learning algorithm, which learns by trial and mistake to achieve a precise goal. Read the complete story.

—Melissa Heikkilä

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