• 0 Posts
  • 21 Comments
Joined 2 years ago
cake
Cake day: June 9th, 2023

help-circle


  • chaos@beehaw.orgto196@lemmy.blahaj.zoneRule
    link
    fedilink
    arrow-up
    12
    ·
    1 month ago

    It’s the same rule, “fair use”. Copyright isn’t absolute, it needs to strike a balance between “give creators control of their thing” but also “people deserve to participate in our collective culture.”

    Making a one-off drawing of a character and not trying to make money off of it likely checks the fair use boxes (it’s an explicitly fuzzy system, so a trial would be needed to say for sure if it’s fair use or not). Whether the training set for a generative AI system is fair use or not is still an open question, but many feel that it can’t be, as it’s operating on a massive scale (basically every image ever created by humanity) and has the potential to eliminate the entire industry of humans selling the art they create, which copyright is supposed to protect. Ghibli isn’t going to be harmed by someone drawing a picture of their characters for a meme. It could be harmed by another company making money off of mass production of knockoffs of their style which were created with thousands of unauthorized copies of their direct artwork.


  • They could organize protests, they could help workers unionize, they could put their necks out and disrupt things, they could do anything besides stand by and say “oh no, this is so bad.” They have a gigantic megaphone and the ears of almost half the country, their power isn’t limited to the votes they have or don’t have. I want them to be making plans that are bold, plans where they feel a need to account for “how do we make sure this doesn’t turn into an outright riot though,” the things you’d do if you actually believed the rhetoric about Trump being a threat to democracy.


  • I’m bitterly clinging to my iPhone 13 mini, because I suspect it’s the last phone I’ll ever actively enjoy. I went along with bigger phones when that became the trend and decided I didn’t like them, and the mini line was such a relief to go back to. Once it’s no longer tenable, I’ll probably just buy a series of “the least bad used phone I can find” because I know I’ll be mildly frustrated every time I use it.


  • I’m still using an iPhone mini and I haven’t experienced any bad layouts, broken websites, or any difficulty like that. It has the same resolution of the biggest iPhone I’ve ever had (iPhone X) so things are smaller, which would make it a poor fit for someone with poor vision, but for me it’s an absolutely perfect phone. It’s frustrating to know that the perfect phone for me could easily exist, and yet Apple will refuse to make it for me. I’ll be stuck with phones I don’t like for the rest of my life, it seems.


  • Bluesky’s more like an aspirationally decentralized platform, you can keep your own data on your own server and use your own domain name as a user name, but most of the rest of it is “centralized, but we’re designing it in such a way that we can open it up later.” Even then, though, it’s heavily influenced by the original idea of “let’s make something decentralized that Twitter can switch to once it’s worked out” which means that even when they do open things up, it’s likely that a lot of Bluesky will only be practical at “big tech company scale” to run yourself, whereas Mastodon or Lemmy you can just spin up on a server and it’ll be fine until you get a lot of users.


  • I as a human being have grown up and learned from experience and the experiences of previous humans that were documented or directly communicated to me. I can see no inherent difference with an artificial intelligence learning on the same data.

    It’s a massive difference in scale. For one, before you even leave the womb you have millions of years of evolution shaping the initial structure of your brain. Then your “training” begins, but it’s infinitely richer than anything we’re giving to these LLMs. Sights, sounds, smells, feelings, so many that part of what your brain is learning is what it must ignore. You’re also benefitting from the interactivity of your environment, you can experiment with things and get feedback for what happens. As you get older and develop more skills, you can start integrating them together to do even more complex things, and the people around you will use their own incredible intelligence to specifically tailor your training to what you need as you learn and grow.

    Meanwhile, an LLM is getting fed words, and learning how to predict the next word. It’s a pale shadow of the complex lives humans live. Words are one of the more powerful things we have for thinking and reasoning, so if you’re going to go all in on one skill, it’s a rich environment for learning and in theory the contents of all of humanity’s writing probably contains all the information necessary to recreate human intelligence, but our current technology doesn’t even come close to wringing every ounce of knowledge from the training sets.


  • The UN is supposed to be a toothless, executively dysfunctional institution, that’s a feature, not a bug. Its members are nations, whose entire purpose is to govern their regions of the planet. If the UN itself had the power to make nations do things, it wouldn’t be the United Nations, it’d be the One World Government, and its most powerful members absolutely do not want it to be that, so it isn’t.

    It’s supposed to be an idealized, nonviolent representation of geopolitics that is always available to nations as a venue for civilized diplomacy. That’s why nuclear powers were given veto power: they effectively have veto power over the question of “should the human race continue existing” and the veto is basically a reflection of that. We want issues to get hashed out with words in the UN if possible, rather than in real life with weapons, and that means it must concede to the power dynamics that exist in real life. The good nations and the bad nations alike have to feel like they get as much control as they deserve, otherwise they take their balls and go home.

    It’s frustrating to see the US or Russia or China vetoing perfectly good resolutions and everyone else just kind of going “eh, what can you do, they have vetoes,” but think through the alternative: everyone has enough and decides “no more veto powers.” The UN starts passing all the good resolutions. But the UN only has the power that member nations give it, so enforcement would have to mean some nations trying to impose their will on the ones that would’ve vetoed. Now we’ve traded bad vetoes in the UN for real-world conflict instead.

    What that “get rid of the vetoes so the UN can get things done” impulse is actually driving at is “we should have a one world government that does good things,” which, yeah, that’d be great, but it’s obviously not happening any time soon. Both articles mention issues and reforms that are worthy of consideration, but the fundamental structure of the UN is always going to reflect the flaws of the world because it’s supposed to do that.



  • It’s not a fantasy because they’re bad ideas (they’re not) or we shouldn’t fight for them (we should), it’s a fantasy because you’re skipping over any of the actual work that needs to be done to make them happen: convincing more people to join you and demand more. Ask 100 people if the Senate and Supreme Court should be abolished and 99 of them are going to look at you like you have two heads. You can insist that you’re right and they’re all wrong all you want, but unless you work to get more people on your side, you’ll just be complaining into the void and setting impossible standards for politicians so that you can feel smug when they fail to meet them.


  • It’s a new model this year, as Nate Silver took his with him when he left 538. The new one seems to put a lot of emphasis on “the fundamentals” this far out, that is, it “thinks” that the general environment and economy and such is pretty good for the incumbent and that the polls might move in that direction by the time election day comes along. And since it’s fitted to historical data, it’s also implicitly assuming that this election will be similar to past elections (like, say, including a competent campaign by a candidate who can get out there and effectively communicate accomplishments and a plan for their term).

    I personally think those assumptions are pretty clearly wrong this year and so I’m more inclined to base my perception of the race on pure polling averages, which are looking quite bad for Biden.



  • If a minority group is being oppressed or is otherwise motivated to create change and is voting in large numbers, but the majority is apathetic and not bothering to vote, then this system would prevent the minority from changing their representation as “punishment” for something they’re not doing.

    It’s also a bit of a “the beatings will continue until morale improves” solution to the problem, if it even is actually a problem. Low turnout is bad, but not because it’s inherently bad not to vote. It’s a symptom of the fact that people don’t think it matters, or that it will change anything, and unfortunately they’re not exactly wrong much of the time. Instead of putting effort into punishing people for not being engaged enough, it’d be better to make systemic changes that empower people and make the government more representative of their interests.


  • Okay, after watching the video twice I think I know what the fuck he’s talking about. He thinks that you’ll request a mail in ballot, go to the polls, they’ll say you already voted, and then you triumphantly show the world that you didn’t vote, you still have the blank ballot, and obviously they’ve put in a vote for Joe Brandon under your name, is what they’ve done, those bastards. He has done a terrible job of explaining his plan, aside from it also being a bad plan.

    As a former election judge in Minnesota, I can tell you exactly how this would go in real life in that state (where, to brag a bit, we have a very progressive voting system that makes it very easy to vote, all the things Republicans hate). You’d get your mail in ballot, then show up to your polling place with your blank ballot. Then when you ask to vote, they’ll say “yep, sure, come on in” and you can just go in and vote as normal.

    (The rule is that even if you request an absentee ballot, you can still cast a vote as normal, and even if you have mailed it in, either they have already counted it and then the registration system will bar you from voting in person, or if you get there before it gets processed and vote in person instead, they’ll toss it out when they get to it.)

    Worst case scenario, the election judges see that you’re carrying around an absentee ballot, and they’ll ask you to get rid of it because no one wants ballots floating around a polling place that aren’t valid. That’s the only thing I can think of that would be cause for a Republican to make a ruckus, but… like… yeah, you can’t just bring extra ballots to the polling place. And they won’t scan into the machine because they’re the wrong type. I really, really want to see videos of these people trying to catch the evil Democrats and then just, like, being treated normally though. (Even better if they raised a ruckus and then didn’t actually vote.)


  • OPML files really aren’t much more than a list of the feeds you’re subscribed to. Individual posts or articles aren’t in there. I would expect that importing a second OPML file would just add more subscriptions, but it’d be up to the reader app to decide what it does.


  • If you ask an LLM to help you with a legal brief, it’ll come up with a bunch of stuff for you, and some of it might even be right. But it’ll very likely do things like make up a case that doesn’t exist, or misrepresent a real case, and as has happened multiple times now, if you submit that work to a judge without a real lawyer checking it first, you’re going to have a bad time.

    There’s a reason LLMs make stuff up like that, and it’s because they have been very, very narrowly trained when compared to a human. The training process is almost entirely getting good at predicting what words follow what other words, but humans get that and so much more. Babies aren’t just associating the sounds they hear, they’re also associating the things they see, the things they feel, and the signals their body is sending them. Babies are highly motivated to learn and predict the behavior of the humans around them, and as they get older and more advanced, they get rewarded for creating accurate models of the mental state of others, mastering abstract concepts, and doing things like make art or sing songs. Their brains are many times bigger than even the biggest LLM, their initial state has been primed for success by millions of years of evolution, and the training set is every moment of human life.

    LLMs aren’t nearly at that level. That’s not to say what they do isn’t impressive, because it really is. They can also synthesize unrelated concepts together in a stunningly human way, even things that they’ve never been trained on specifically. They’ve picked up a lot of surprising nuance just from the text they’ve been fed, and it’s convincing enough to think that something magical is going on. But ultimately, they’ve been optimized to predict words, and that’s what they’re good at, and although they’ve clearly developed some impressive skills to accomplish that task, it’s not even close to human level. They spit out a bunch of nonsense when what they should be saying is “I have no idea how to write a legal document, you need a lawyer for that”, but that would require them to have a sense of their own capabilities, a sense of what they know and why they know it and where it all came from, knowledge of the consequences of their actions and a desire to avoid causing harm, and they don’t have that. And how could they? Their training didn’t include any of that, it was mostly about words.

    One of the reasons LLMs seem so impressive is that human words are a reflection of the rich inner life of the person you’re talking to. You say something to a person, and your ideas are broken down and manipulated in an abstract manner in their head, then turned back into words forming a response which they say back to you. LLMs are piggybacking off of that a bit, by getting good at mimicking language they are able to hide that their heads are relatively empty. Spitting out a statistically likely answer to the question “as an AI, do you want to take over the world?” is very different from considering the ideas, forming an opinion about them, and responding with that opinion. LLMs aren’t just doing statistics, but you don’t have to go too far down that spectrum before the answers start seeming thoughtful.


  • In its complaint, The New York Times alleges that because the AI tools have been trained on its content, they sometimes provide verbatim copies of sections of Times reports.

    OpenAI said in its response Monday that so-called “regurgitation” is a “rare bug,” the occurrence of which it is working to reduce.

    “We also expect our users to act responsibly; intentionally manipulating our models to regurgitate is not an appropriate use of our technology and is against our terms of use,” OpenAI said.

    The tech company also accused The Times of “intentionally” manipulating ChatGPT or cherry-picking the copycat examples it detailed in its complaint.

    https://www.cnn.com/2024/01/08/tech/openai-responds-new-york-times-copyright-lawsuit/index.html

    The thing is, it doesn’t really matter if you have to “manipulate” ChatGPT into spitting out training material word-for-word, the fact that it’s possible at all is proof that, intentionally or not, that material has been encoded into the model itself. That might still be fair use, but it’s a lot weaker than the original argument, which was that nothing of the original material really remains after training, it’s all synthesized and blended with everything else to create something entirely new that doesn’t replicate the original.


  • The Fairness Doctrine only survived the 1st Amendment because the airwaves are a public resource: each area only has one electromagnetic spectrum, and the sections of it that are useful for broadcasting are limited enough that not everyone can have a useful slice of the pie. As such, if you’re lucky enough to get a slice, the government gets to have a lot more control than they normally do over how you use it. You’re using something that belongs to all of us but only a few people get permission to use, so you have to do your part to serve the public good in addition to the programming you want to broadcast.

    Cable has none of that scarcity, since we can have effectively as many cables in an area as we want, and each cable can be stuffed with more signal than the airwaves can, since you don’t have to worry about whether any given frequency can pass through walls or buildings, just copper. Without that, the government can no longer justify dictating content.