• 23 Posts
  • 466 Comments
Joined 2 years ago
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Cake day: June 20th, 2023

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  • Caption on the source for the image is helpful:

    Texas Department of Public Safety officers guard the women’s bathroom and ask some individuals to show ID to enter at the Capitol in Austin on Dec. 6, 2025. Members of 6W Project protested the newly enacted Senate Bill 8 “bathroom bill” by checking what the enforcement measures to enter the bathroom would be at the Capitol. SB 8, also known as the Texas Women’s Privacy Act, is aimed at restricting transgender people’s access to certain restrooms in the state, and went into effect on Dec. 4, 2025. Salgu Wissmath for The Texas Tribune

    So yes, ID required just to enter the building, and guarding the women’s bathroom entrance?







  • No. I’ll name three.

    Pleias, an LLM family of models that train on the common corpus, compliant with EU copyright and fair use law. They filtered a public domain dataset for racism and other bias’s, and released the results.

    common canvas is a (suite) of text-to-image models trained on a data they know is well sourced.

    Apertus, public ai is a chat-gpt style bot made in collaboration with the swiss government, with a commitment to using only training data that complies with swiss fair use. They’ve chosen a model design that let’s them remove training data which is improperly labeled, or becomes no longer accessible (ie, by changing robots.txt).

    Not to mention the hundreds of models academics in ML have trained using things like open diffusion and public datasets (see also these hobbyists).

    They don’t have advertising budgets (generally). But you see a steady stream of open models on arXiv.














  • Fascinating. I see some psych studies correlating it with intelligence, but haven’t found any discussing it in a cross cultural setting. I’ll note that good irony requires sufficient context (the test stories psych studies use to evaluate this seem to be at least a paragraph). Do you know a good summary on the effect?

    Regardless, I’m pretty sure the OP is not only a play with proportional distribution, it also makes a basic math error. There’s nowhere near enough money in the US economy to make everyone a billionaire. Total assets of all us sectors are around 150 trillion = 150 000 000 000 000 (yes freedom units are weird). Redistributed to 350 million= 350 000 000 folks leaves us with less than a million per person. Fed data

    even if we correct for demographics (babies don’t need this cash quite yet), assume serious reporting errors, and I’m misreading a couple 0s somewhere in your favor, there’s still not that much money.