This video of an AI model learning to walk is both adorable and informative. Well done.

https://youtu.be/L_4BPjLBF4E

This bit on misinformation label effectiveness in today’s Facebook Oversight Board opinion is fascinating.

Short version is: Facebook automatically spray neutral “get the facts” labels on both true and false content (which they did throughout the 2020 election, and always seemed like a bit of a milquetoast non-intervention). They found experimental evidence of label fatigue — that is, people are less engaged with labels when they see them too often.

Full opinion: https://www.oversightboard.com/decision/PAO-SABU4P2S/

In related news, 👋 welcome to the millions who have joined #mastodon over the last months:

"Around the time that Musk took control of Twitter, about 1.75 million users quit the platform, according to Similarweb monitoring of traffic to the desktop web confirmation page for deactivated accounts....from everything we can see, Twitter users are paying fewer visits to twitter.com and opening Twitter mobile apps less often."

#TwitterMigration

https://www.similarweb.com/amp/blog/insights/social-media-news/twitter-shrinking/

Odd take from a professor. You asked a predictive text VLLM to pretend it wanted to escape and it’s telling the statistically most likely story as to how a fictional escape might happen. It’s a sock puppet on your own hand, and you’re afraid of it?

Problem with AI hype right now is anthropomorphizing these things. They are statistical models of us - often the worst of us - but they aren’t thinking. The focus should be on ethical use to improve the lives of folks who are suffering. AI for good.

Slack is gone, Jira is busted, and other woes inside Elon Musk's Twitter. From @zoeschiffer and me

https://www.platformer.news/p/new-cracks-emerge-in-elon-musks-twitter