Jack Dorsey, co-founder of Twitter (now X) and Square (now Block), sparked a weekend’s worth of debate around intellectual property, patents, and copyright, with a characteristically terse post declaring, “delete all IP law.”

X’s current owner Elon Musk quickly replied, “I agree.”

  • @[email protected]
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    378 days ago

    IP law does 3 things that are incredibly important… but have been basically irrelevant between roughly 1995-2023.

    1. Accurate attribution. Knowing who actually made a thing is super important for the continued development of ideas, as well as just granting some dignity to the inventor/author/creator.
    2. Faithful reproduction. Historically, bootleg copies of things would often be abridged to save costs or modified to suit the politics of the bootlegger, but would still be sold under the original title. It’s important to know what the canonical original content is, if you’re going to judge it fairly and respond to it.
    3. Preventing bootleggers from outcompeting original creators through scale.

    Digital technology made these irrelevant for a while, because search engines could easily answer #1, digital copies are usually exact copies so #2 was not an issue, and digital distribution made #3 (scale) much more balanced.

    But then came AI. And suddenly all 3 of these concerns are valid again. And we’ve got a population who just spent the past 30 years living in a world where IP law had zero upsides and massive downsides.

    There’s no question that IP law is due for an overhaul. The question is: will we remember that it ever did anything useful, or will we exchange one regime of fatcats fucking over culture for another one?

    • @[email protected]
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      17 days ago

      1&2 solved by digital signature

      3 both never happens and when it happens IP laws can’t really stop it

      • @[email protected]
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        27 days ago

        Are we pretending metadata on images and sounds actually work and don’t get scrubbed almost immediately?

      • @[email protected]
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        88 days ago

        Make yourself the question: how does genai respect these 3 boundaries set by IP law? All providers of Generative AI services should be forced by law to explicitly estate this.

        • Riskable
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          18 days ago

          I’m still not getting it. What does generative AI have to do with attribution? Like, at all.

          I can train a model on a billion pictures from open, free sources that were specifically donated for that purpose and it’ll be able to generate realistic pictures of those things with infinite variation. Every time it generates an image it’s just using logic and RNG to come up with options.

          Do we attribute the images to the RNG god or something? It doesn’t make sense that attribution come into play here.

          • @[email protected]
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            58 days ago

            I would like to take a crack at this. There is this recent trend going around with ghiblifying one’s picture. Its basically converting a picture into ghibli image. If you had trained it on free sources, this is not possible.

            Internally an LLM works by having networks which activate based on certain signals. When you ask it a certain question. It creates a network of similar looking words and then gives it back to you. When u convert an image, you are doing something similar. You cannot form these networks and the threshold at which they activate without seeing copyrighted images from studio ghibli. There is no way in hell or heaven for that to happen.

            OpenAI trained their models on pirated things just like meta did. So when an AI produces an image in style of something, it should attribute the person from which it actually took it. Thats not whats happening. Instead it just makes more money for the thief.

          • @[email protected]
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            38 days ago

            I think your understanding of generative AI is incorrect. It’s not just “logic and RNG” It is using training data (read as both copyrighted and uncopyrighted material) to come up with a model of “correctness” or “expectedness”. If you then give it a pattern, (read as question or prompt) it checks its “expectedness” model for whatever should come next. If you ask it “how many cups in a pint” it will check the most common thing it has seen after that exact string of words it in its training data: 2. If you ask for a picture of something “in the style of van gogh”, it will spit out something with thick paint and swirls, as those are the characteristics of the pictures in its training data that have been tagged with “Van Gogh”. These responses are not brand new, they are merely a representation of the training data that would most work as a response to your request. In this case, if any of the training data is copyrighted, then attribution must be given, or at the very least permission to use this data must be given by the current copyright holder.

      • @[email protected]
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        17 days ago

        I’ve decided all of your comments are all mine, I’m feeding them into an AI which approximates you except ends every statement with how stupid and lame it is. It talks a lot about gayness as a side effect of that, in a derogatory manner.

        Would you like me to stop?