Ragdoll X

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

Other socials: https://ragdollx.carrd.co/

  • 14 Posts
  • 82 Comments
Joined 2 years ago
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Cake day: June 20th, 2023

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  • Ragdoll X@lemmy.worldtoMemes@lemmy.mlelon is a lame poser
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    8 months ago

    One of the community notes on the post said it was posted the day before by another account, and an AI image detector flagged it as AI with 90% confidence.

    Musk using an AI image to fantasize about being some badass cowboy is both pathetic and absolutely expected lol


  • Ragdoll X@lemmy.worldto196@lemmy.blahaj.zoneyikes rule
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    8 months ago

    Although I haven’t read Lolita myself I recently came across a great video explaining how many people misunderstand the book as being some sort of tragic romance. LOLITA: The Worst Masterpiece

    It’s ironic that one of the most famous and successful writers in the world made this same mistake of trusting and sympathizing with the pedophilic murderer protagonist while claiming that she wants to protect women and children from the evil trans agenda or whatever.




  • Ragdoll X@lemmy.worldto196@lemmy.blahaj.zoneMarkiruler
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    9 months ago

    Most of the time I think with my own voice, but sometimes when I’ve been watching a lot of videos from the same creator I’ll start thinking with their voice and speech patterns. This was moderately annoying when I started hearing my thoughts being narrated by Jacksepticeye’s high-pitched Irish voice.







  • Please tell me how an AI model can distinguish between “inspiration” and plagiarism then.

    […] they just spit out something that it “thinks” is the best match for the prompt based on its training data and thus could not make this distinction in order to actively avoid plagiarism.

    I’m not entirely sure what the argument is here. Artists don’t scour the internet for any image that looks like their own drawings to avoid plagiarism, and often use photos or the artwork of others as reference, but that doesn’t mean they’re plagiarizing.

    Plagiarism is about passing off someone else’s work as your own, and image-generation models are trained with the intent to generalize - that is, being able to generate things it’s never seen before, not just copy, which is why we’re able to create an image of an astronaut riding a horse even though that’s something the model obviously would’ve never seen, and why we’re able to teach the models new concepts with methods like textual inversion or Dreambooth.