Three raccoons in a trench coat. I talk politics and furries.

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  • 23 Posts
  • 99 Comments
Joined 1 year ago
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Cake day: June 20th, 2023

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  • Not sure how deeply positive it was necessarily, but as far as I can tell I changed at least one person’s life significantly.

    When I was in middle school I learned how to solve the Rubik’s cube through online tutorials, and afterwards I was basically addicted to it for a while and I was messing with a cube all the time. One of my classmates was interested in learning how to solve one, so I drew a bunch of guides and taught him the terminology, and soon enough he was also hooked on the Rubik’s cube.

    I eventually grew tired of it, but he kept going and learned how to solve all sorts of smaller and bigger cubes and pyramids. I bumped into him at uni a few years later and he had a cube in his hand lol. Last I heard of him he was even participating in some local competitions, but idk what he’s up to now.

    Even if he ultimately gave up on his speedcubing dreams I can at least say that I introduced him to a cool new hobby that kept him entertained for several years.



  • Winter because I live in Brazil, which is a tropical and very humid country so the heat can get unbearable even here in the south where it’s colder compared to the north.

    There are a few cities that get cold enough to reach negative Cº, but where I live it’s mostly between 10º-20º during winter so I just need some extra coats and more blankets and I’m happy. During summer I can only take off so many layers before it becomes illegal.






  • This did happen a while back, with researchers finding thousands of hashes of CSAM images in LAION-2B. Still, IIRC it was something like a fraction of a fraction of 1%, and they weren’t actually available in the dataset because they had already been removed from the internet.

    You could still make AI CSAM even if you were 100% sure that none of the training images included it since that’s what these models are made for - being able to combine concepts without needing to have seen them before. If you hold the AI’s hand enough with prompt engineering, textual inversion and img2img you can get it to generate pretty much anything. That’s the power and danger of these things.


  • IIRC it was something like a fraction of a fraction of 1% that was CSAM, with the researchers identifying the images through their hashes but they weren’t actually available in the dataset because they had already been removed from the internet.

    Still, you could make AI CSAM even if you were 100% sure that none of the training images included it since that’s what these models are made for - being able to combine concepts without needing to have seen them before. If you hold the AI’s hand enough with prompt engineering, textual inversion and img2img you can get it to generate pretty much anything. That’s the power and danger of these things.















  • You can and should read the full report here. Several experts and researchers who work in a variety of fields relevant to gender and youth healthcare reviewed hundreds of studies, commissioned several literature reviews, and conducted thousands of interviews with gender diverse children, their families and healthcare providers to reach their conclusions.

    To dismiss them as “conservatives who just hate other humans” and handwave away a 388-page report that took more than 3 years to complete by vaguely gesturing at some nondescript “statistics” would be extremely shortsighted.