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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)EA
Posts
15
Comments
825
Joined
2 yr. ago

  • It's sad some people feel that way. That kind of monopoly on expression and ideas would only serve to increase disparities and divisions, manipulate discourse in subtle ways, and in the end, fundamentally alter how we interact with each other for the worse.

    What they want would score a huge inadvertent home run for corporations and swing the doors open for them hindering competition, stifling undesirable speech, and monopolizing spaces like nothing we’ve seen before. There are very good reasons we have the rights we have, and there's nothing good that can be said about anyone trying to make them worse.

    Also, rest assured they'd collude with each other and only use their new powers to stamp out the little guy. It'll be like American ISPs busting attempts at municipal internet all over again.

  • They aren't insufficient, they are working just fine. In the US, fair use balances the interests of copyright holders with the public’s right to access and use information. There are rights people can maintain over their work, and the rights they do not maintain have always been to the benefit of self-expression and discussion. We shouldn't be trying to make that any worse.

  • I've only heard that running images through a VAE just once seems to break the Nightshade effect, but no one's really published anything yet.

    You can finetune models on known bad and incoherent images to help it to output better images if the trained embedding is used in the negative prompt. So there's a chance that making a lot of purposefully bad data could actually make models better by helping the model recognize bad output and avoid it.

  • He took GPLv3 code, which is a copyleft license that requires you share your source code and license your project under the same terms as the code you used. You also can't distribute your project as a binary-only or proprietary software. When pressed, they only released the code for their front end, remaining in violation of GPLv3.

  • This ruling is about something else entirely. He tried to argue that the AI itself was the author and that copyright should pass to him as he hired it.

    An excerpt from your article:

    In 2018, Dr. Thaler sought to register "Recent Entrance" with the U.S. Copyright Office, listing the Creativity Machine as its author. He claimed that ownership had been transferred to him under the work-for-hire doctrine, which allows the employer of the creator of a given work or the commissioner of the work to be considered its legal author. However, in 2019, the Copyright Office denied copyright registration for "Recent Entrance," ruling that the work lacked the requisite human authorship. Dr. Thaler requested a review of his application, but the Copyright Office once more refused registration, restating the requirement that a human have created the work.

    Copyright is afforded to humans, you can't register an AI as an author, the same as a monkey can't hold copyright.

  • Works involving the use of AI are copyrightable. Also, the Copyright Office's guidance isn’t law. Their guidance reflects only the office’s interpretation based on its experience, it isn’t binding in the courts or other parties. Guidance from the office is not a substitute for legal advice, and it does not create any rights or obligations for anyone. They are the lowest rung on the ladder for deciding what law means.

  • He's not arguing for OpenAI, but for the rest of us. AI is a public technology, but we're on the verge of losing our ability to participate due to things like this and the megacorps' attempts at regulatory capture. Which they might just get. Their campaign against AI is a lot like governments' attempts to destroy encryption. Support open source development, It's our only chance. Their AI will never work for us. John Carmack put it best.

    Fuck "Open"AI, fuck Microsoft. Pragmatism or slavery.

  • It doesn't necessarily have to shift away from diversity biases. I think with care, you can preserve the biases that matter most. That was just their first shot at it, this seems like something you'd get better at over time.