• humanspiral@lemmy.ca
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    9 days ago

    There’s not just a desperation for Skynet by US government, like protecting oil from EVs/renewables, this is also about creating new oligarchs to fund electoral results that oppress Americans/humanity.

  • AceFuzzLord@lemmy.zip
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    9 days ago

    Remember that it’s always morally acceptable to break in and destroy AI data centers. The only ones harmed are not people.

      • grrgyle@slrpnk.net
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        9 days ago

        True. Profit is about the only thing these companies will never generate, but there’s still money being thrown at them, it’s just being spent on bonuses, mergers, and data centers.

        Scrapers could peel off 1B of that to pay for what they’re taking (like the pay for antique, print only books—because they can’t physically steal those) instead of just robbing the commons if they really wanted to, if they thought that anything they were doing was ethically defensible or financially sustainable. ___

  • godsammitdam@lemmy.zip
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    9 days ago

    Where’s all the people shouting how awesome capitalism is, private ownership, the communists will come steal everything from you.

    Here come capitalists to steal everything you own so they can make more money. Copyright, shmopyright. They’ve also got eminent domain on their side to build walls and data centers

  • webghost0101@sopuli.xyz
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    9 days ago

    Firmly an example of capitalism cannibalism themselves.

    It may not abolish copyright but it is causing cracks.

    Copyright was always a scam, non personal information should be free. Multiple people can have the same good idea, walling of access to a good idea behind capital blocks human progress.

    Before anyone says something, yes artists deserve to eat… just like everyone else. Being economically productive should not be a condition for that. Make your art for fun and enjoy the honor of being copied with a sidedish of UBI.

  • bss03@infosec.pub
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    9 days ago

    It’s mostly a nothing-burger right now:

    This new Trump administration brief is not a ruling, as the case is being tried in the U.S. District Court for the Southern District of New York, and the authors of the brief do not have jurisdiction.

    The U.S. copyright office somewhat contradicts the brief:

    The training process [also] implicates the right of reproduction.

    https://www.copyright.gov/ai/ Part 3, III, B.

    Tho, the same documents do mention that “fair use” defenses can apply, but as always they depend on a lot of factors specific to individual acts of possible infringement.

    • njordomir@lemmy.world
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      8 days ago

      Yeah, I wouldn’t be as upset if the playing field was level. Alright, you can slurp up and remix the world’s works, but so can anyone, for any reason, for free. Personally, I think use restrictions should only target commercial use, but I’m sure that’s a much more divisive topic. We have a law that is not being applied to those most likely to abuse it at scale.

    • Grimy@lemmy.world
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      9 days ago

      Precendent was already there. Copyright has never been enforceable when it’s transformative. Collage is legal, so was training neural nets before the copyright industry saw money in it.

      • wholookshere@lemmy.blahaj.zone
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        8 days ago

        No one is saying they output of an llm is copyright (this is a different debate).

        What people are talking about is they stole copyright work. They pirated from torrent sights mass amounts of data. That’s the violation at problem.

  • wallwood@lemmy.ml
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    9 days ago

    Chinese models like Kimi are already competing head-to-head with Claude Opus in term of capability. And the main reason that kimi isn’t as widely used as Claude is because Chinese companies aren’t burning investors money to keep subscription prices low. I wonder how long will this dominance can last. Since investor money will eventually run out. and once that happens, what plans do they have to keep competing with free open weight models that already closed the gap.

  • mechoman444@lemmy.world
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    9 days ago

    So hear me out.

    From a purely strategic standpoint, the ultimate goal is artificial general intelligence. Eventually, humanity is going to get there. The question is who gets there first, and what they do with it.

    The country that achieves genuinely transformative AGI first could potentially gain an enormous strategic advantage. And if AGI is capable of significantly accelerating AI research itself, that advantage could compound very quickly: AGI helps develop better AI, which accelerates scientific and technological development, which produces even more capable AI.

    Whoever gets there second may not necessarily be permanently incapable of catching up, but they could find themselves facing a massive technological and economic gap that becomes increasingly difficult to close.

    And here’s where I think things get uncomfortable.

    The countries competing to develop this technology are not necessarily going to have the same restrictions. Some countries may be considerably less concerned about copyright, training data, ethical restrictions, censorship, or what subjects an AI is permitted to discuss.

    I’m not saying those concerns aren’t legitimate. They absolutely are. But from a purely geopolitical standpoint, there is a potential danger in one country imposing significant self-restraints while its competitors don’t.

    Because if AGI really does become as transformative as many people believe it could be, this isn’t just another technology race. It could become a race over scientific advancement, industrial capacity, military technology, economic productivity, and potentially the ability to develop even more advanced AI.

    And, honestly, I would rather the United States and other democratic countries reach that point first than China, North Korea, or another highly authoritarian state.

    That doesn’t mean I think democratic countries are incapable of abusing powerful technology. Of course they are. The point is that who controls a technology this powerful matters enormously.

    So when people talk about AI development purely in terms of corporate profits or whether AI companies should be allowed to train on particular datasets, I think they’re sometimes missing the much larger geopolitical picture.

    We’re potentially talking about a technology that could fundamentally alter the balance of power between nations.

    That’s a very different conversation.

    Disclaimer: I’m not necessarily advocating for AI or LLMs here. I’m simply trying to look at the situation from a purely strategic/geopolitical perspective and consider how governments and other actors might view the race toward AGI.

    • whereitsat@lemmy.zip
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      9 days ago

      explain why an AGI would propel intellectual and economic growth past its creator’s peers.

      we already feed all of human knowledge into these dumbass chatbots and don’t get anything out of it other than super-autist pattern recognition.

      “but if it could think, it would immediate solve all the problems plaguing humanity” – says the dumbass AI bro.

      • mechoman444@lemmy.world
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        9 days ago

        You know, it’s stuff like this that continues to irritate me to absolutely no end.

        These dumbass chatbots you are referring to have already significantly changed the industry, for better or worse. The change has occurred. There are already so many things happening with these LLMs that are changing the way industries operate, and they aren’t even that good yet. Your personal bias against this technology has absolutely nothing to do with its applications.

        The changes will increasingly be about computational power and the ability to process information at speeds and scales we have never seen before.

        And this is where the potential of AGI becomes enormous.

        Imagine an entity or device capable of taking essentially the entirety of human knowledge available to it, understanding the relationships between that information, reasoning across multiple fields simultaneously, and processing it at a speed and scale no human being could ever match. Now imagine that system being able to conduct research, identify patterns, generate and test hypotheses, design experiments, write software, analyze enormous datasets, and continuously improve its understanding of a problem.

        That isn’t magic. That is essentially the direction this technology is moving toward. Current LLMs are crude and limited compared with what a true AGI would theoretically be capable of, but they are already demonstrating the basic premise: machines can process and synthesize information in ways that are extremely useful to humans.

        An AGI capable of reliably doing those things could provide an absolutely massive advantage to humanity. Scientific research that takes teams of humans years could potentially be accelerated dramatically. Complex engineering problems could be attacked from thousands of different approaches simultaneously. Medical research, materials science, energy production, climate modeling, mathematics, and countless other fields could benefit from having an intelligence capable of working continuously across enormous bodies of information.

        That doesn’t mean AGI would automatically make everything better. There are enormous risks, economic consequences, alignment problems, and questions about who controls such a system. Those are legitimate things to debate.

        But dismissing the technology because you personally dislike current LLM chatbots doesn’t answer the question of what the technology could become.

        Go use the technology. Stop being a Luddite when it comes to LLMs. It is already being used as a tool. It already does things that are useful and makes many tasks easier for humans. I know that’s an unpopular opinion on this platform, but it remains true regardless of how much you dislike the technology.

        And, for the record, we have not fed “all of human knowledge” into an LLM. These systems are trained on enormous collections of available data, and there are legitimate and significant controversies surrounding the inclusion of copyrighted material in those datasets. Whether copyrighted works should be used for AI training without permission or compensation is a completely legitimate question. But that issue is separate from whether the underlying technology has useful applications.

        The point is that AGI doesn’t need to possess every piece of human knowledge to be revolutionary. It needs to be capable of acquiring, understanding, reasoning about, and applying information at a scale and speed that humans cannot match.

        If we ever achieve that, the question won’t be whether AGI can benefit humanity. The question will be how humanity chooses to use an intelligence with capabilities vastly beyond those of any individual human being.