A machine learning librarian at Hugging Face just released a dataset composed of one million Bluesky posts, complete with when they were posted and who posted them, intended for machine learning research.
Daniel van Strien posted about the dataset on Bluesky on Tuesday:
“This dataset contains 1 million public posts collected from Bluesky Social’s firehose API, intended for machine learning research and experimentation with social media data,” the dataset description says. “Each post contains text content, metadata, and information about media attachments and reply relationships.”
The data isn’t anonymous. In the dataset, each post is listed alongside the users’ decentralized identifier, or DID; van Strien also made a search tool for finding users based on their DID and published it on Hugging Face. A quick skim through the first few hundred of the million posts shows people doing normal types of Bluesky posting—arguing about politics, talking about concerts, saying stuff like “The cat is gay” and “When’s the last time yall had Boston baked beans?”—but the dataset has also swept up a lot of adult content, too.
This is misinformation.
The law is an extension to existing “Stand Your Ground” laws that applies to theft of commercial electronic telecommunication machines used to perform wireless financial transactions. The owner of these machines or someone employed by them may use reasonable force to prevent the theft, which does include shooting the thieves if the owner believes their life is in danger.
The ““loophole”” refers to the fact that this applies to suspected thieves too, with the Texas Supreme Court ruling that “[at] most one innocent suspect may be shot at. The owner must do his or her due diligence to prevent targeting multiple innocent individuals.”
Here’s some more unbiased information: https://www.foxnews.com/politics/extension-to-stand-your-ground-laws-how-trump-supports-small-businesses
