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Twitter Misinformation Reporting Feature Expands to More Countries

Andrew Orr ·

Twitter misinformation reporting is a feature the company announced in August 2021. Now it’s rolling the tool out to Brazil, Spain, and the Philippines, reports TechCrunch.

The ability to flag tweets as misinformation allows users to more quickly and directly flag content that may not fit into existing rules, as well. But the reports themselves are tied into Twitter’s existing enforcement flow, where a combination of human review and moderation is used to determine if a punitive action should take place.

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'Wordle!' Developer Sells App Proceeds to Charity

Andrew Orr ·

The game Wordle has taken the internet by storm recently. But, there’s a similarly-named app named Wordle! and the developer speaks.

Cravotta chalks the sudden increase up to “major publications” failing to specify “that this was an ‘internet browser’ only game, so naturally people went to the App Store to search Wordle.” Even without that, though, the sudden spate of hard-to-parse, link-free tweets promoting the browser game probably got plenty of people assuming it was a reference to a mobile app.

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Hot Cakes Selling Like Microsoft's Xbox Series S, Xbox Series X

Andrew Orr ·

Sales of the Series X and S of the Xbox variety have been wildly popular, a report says recently.

The boss of Xbox discussed the commercial performance of the two consoles on a recent New York Times podcast. The Xbox Series X and S were released 14 months ago on November 10, 2020, and Spencer says that “at this point, we’ve sold more of this generation of Xboxes, which is Xbox Series X and S, than we had any previous version of Xboxes.”

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'TinyML' Wants to Bring Machine Learning to Microcontroller Chips

Andrew Orr ·

TinyML is a joint project between IBM and MIT. It’s a machine learning project capable of running and low-memory and low-power microcontrollers.

[Microcontrollers] have a small CPU, are limited to a few hundred kilobytes of low-power memory (SRAM) and a few megabytes of storage, and don’t have any networking gear. They mostly don’t have a mains electricity source and must run on cell and coin batteries for years. Therefore, fitting deep learning models on MCUs can open the way for many applications.