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

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  • 3 Posts
  • 37 Comments
Joined 1 year ago
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Cake day: June 20th, 2023

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  • 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.








  • In early 2019 bittorrent’s website views fluctuated between ~6M to ~9M. Now it’s around 3M to 4M.

    In early 2019 utorrent’s visits fluctuated between ~26M to ~75M. Now it sits around 25M to 21M.

    The fact that there were far more captures in early 2019 for both of them might be an indication that this was their peak, and while visits have reduced since then they’re far from dying.

    Streaming services may be part of the reason, though I also think it’s because many games and software have switched to freemium & microtransactions so spending money is optional, along with the fact that free and open source alternatives to mainstream software have become more robust and popular. When I was a kid I torrented Sony Vegas, but now that’s simply not necessary since we have DaVinci Resolve.




  • I don’t doubt that there are inherent differences between the brains of most men and women, but “we can measure these differences” and “these differences are inherent” are two different claims. I don’t really get what the article is trying to get at by first claiming the latter and then walking back to the former.

    btw can someone post the full PDF I can’t access it via sci-hub yet


    Edit: Also a tangential nitpick, but looking at their code I can tell that they’re psychiatrists/neuroscientists first and programmers second lol

    “CNN Block 1” comment used twice?

    They skip layer 5? (Why even keep it in there??)

    A linear layer with 2 outputs??? And then they do “_, predicted = torch.max(outputs.data, 1)” in the training script??? JUST USE 1 OUTPUT WITH A SIGMOID I’M BEGGING YOU

    And there’s a lot going on in the “utilityFunctions.py” file lol