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Cake day: June 11th, 2023

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  • It’s not a matter of science vs belief, it’s a matter of law versus dogma.

    Law is a consensus that, at least in a democracy, aims to set some rule and the consequences of it in advance so that whenever a case applies it is at least relatively predictable and applied equally in each case.

    If you pass judgement based on the things you like, or in the religious beliefs you profess you’re not following the law, your imparting dogma. Imposing it, in fact, over others.

    You can absolutely make unjust laws, but at least those are the result of a process. In a democracy you can at least understands what steps lead to rectifying an unjust law.

    If a person with power decides they don’t like you and they apply that belief inconsistently, irrationally and without following consistent rules there is no recourse or path for society to correct itself (beyond violent revolt, presumably).

    Judges don’t need to listen to their heart. Judges need to apply laws generated in a functional system that captures the will of an informed people in a predictable, equitable manner. Judges ruling based on personal beliefs, whether you agree with them or not, are a tyranical manifestation and a very scary thing.


  • Yeah, I keep hearing the “you don’t get how big it is” thing, too.

    I get how big it is.

    European agriculture workers just reversed EU-wide policy as recently as last week by blocking major roads throughout the continent with tractors. They didn’t even agree with each other (half those guys are pissed at the other guys for being too competitive), and the regulations they opposed were climate protection regulations, among other more reasonable things, so this isn’t necessarily a feel-good story.

    But they won.

    They didn’t even have to try that hard, honestly. Besides mild traffic jams and some tense standoffs with police it was all pretty mild. And yet politicians across the entire continent, over multiple countries, were terrified of the optics of working class people protesting in loose coordination, especially with right wing parties trying to co-opt their anger.

    I get how big it is. The size is not the reason.


  • Yeah, ok.

    I don’t want to speak for the OP, but… I’m guessing that’s what they’re saying.

    I mean, this issue is not on the ballot elsewhere. Even conservatives who are actively trying to dismantle public health care won’t dare suggest that they want less public health care. At most they’ll tell you they found ways to invest more and then turn around and give that money to private managers. You certainly broke through the propaganda. I don’t think I’ve spoken to an American anywhere who has made a case for the current health care system. Polls suggest this issue, among other “aren’t Americans weird” stuff are wildly impopular with the actual population.

    But I also constantly hear from Americans that it’s impossible to turn it around, that candidates who support these common sense moves are unelectable and that there is nothing they could ever do about it.

    That part is what I don’t get. I mean, I’m familiar with elections not going my way, it happens to everybody, but holy crap. There’s a reason why this is not on the ballot elsewhere. You wouldn’t need an election to figure this out. Even in countries with the bare minimum of democratic guarantees and no money you would have the mother of all endless riots under these circumstances.

    Me, personally, I’m not so much judgemental of the American public as I am baffled at their defeatism and conformism.




  • That is most likely going to generate less revenue than promoting donations, or a comparable amount at best. WinRAR is the meme example.

    From a PR and marketing perspective, if I wanted to maximize my revenue as a single developer I would set up a Patreon or encourage recurring donations through the software by providing bragging rights stuff (merch, insider access, early access to unfinished builds and so on). Single mandatory payments simply reproduce the piracy/license access of commercial software and shaming people into paying without coercion just makes you seem less appealing to people who would donate anyway.


  • MudMan@kbin.socialtopics@lemmy.worldBarcelona at night
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    9 months ago

    I’ve been there exactly once in my life.

    We were going to a place, which we could see in the distance, so we decided to walk there.

    Half an hour walking later the place seemed to still be exactly as far away as when we started and our sense of reality was eroding significantly.

    Like others have said, not the whole place is like that, but man, it IS kinda weird.


  • To be clear about what I’m saying, the setup is subtitles in the same language as the audio. So if you’re learning French you set French audio with French subtitles.

    That REALLY helps bind the pronuntiation to the writing and it actually makes it far easier to understand the speech. Assuming you’re reading the subtitles at the same time, of course.

    You won’t understand a lot of it, and you’ll have to put up with the frustration of losing the plot often for a while, but it does help, in my experience.

    Subtitles in your own native language just make you tune out the audio and read the dialogue. That’s not helpful.


  • MudMan@kbin.socialtoAsklemmy@lemmy.ml*Permanently Deleted*
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    10 months ago

    This is the answer. The answer is Netflix and Youtube. Anything with media using both audio and subtitles in the language you’re trying to learn.

    You still need a teacher to get you past learning enough basics of vocabulary and grammar to get started (and no, language learning apps are probably not an effective way past that) but once you have enough basic words and you understand how a sentence is put together the answer is to watch media even if you don’t fully understand what’s being said, paying attention and stopping sometimes to use dictionaries and translators to get you there on sentences you almost get.

    I know people who spent years spinning their wheels on learning apps while refusing to sit through media in the target language because they get frustrated or tired by the effort of trying to keep up. It’s a bit annoying, but it really works.



  • I don’t disagree on principle, but I do think it requires some thought.

    Also, that’s still a pretty significant backstop. You basically would need models to have a way to check generated content for copyright, in the way Youtube does, for instance. And that is already a big debate, whether enforcing that requirement is affordable to anybody but the big companies.

    But hey, maybe we can solve both issues the same way. We sure as hell need a better way to handle mass human-produced content and its interactions with IP. The current system does not work and it grandfathers in the big players in UGC, so whatever we come up with should work for both human and computer-generated content.


  • That’s not “coming”, it’s an ongoing process that has been going on for a couple hundred years, and it absolutely does not require ChatGPT.

    People genuinely underestimate how many of these things have been an ongoing concern. A lot like crypto isn’t that different to what you can do with a server, “AI” isn’t a magic key that unlocks automation. I don’t even know how this mental model works. Is the idea that companies who are currently hiring millions of copywriters will just rely on automated tools? I get that yeah, a bunch of call center people may get removed (again, a process that has been ongoing for decades), but how is compensating Facebook for scrubbing their social media posts for text data going to make that happen less?

    Again, I think people don’t understand the parameters of the problem, which is different from saying that there is no problem here. If anything the conversation is a net positive in that we should have been having it in 2010 when Amazon and Facebook and Google were all-in on this process already through both ML tools and other forms of data analysis.


  • I’m gonna say those circumstances changed when digital copies and the Internet became a thing, but at least we’re having the conversation now, I suppose.

    I agree that ML image and text generation can create something that breaks copyright. You for sure can duplicate images or use copyrighted characterrs. This is also true of Youtube videos and Tiktoks and a lot of human-created art. I think it’s a fascinated question to ponder whether the infraction is in what the tool generates (i.e. did it make a picture of Spider-Man and sell it to you for money, whcih is under copyright and thus can’t be used that way) or is the infraction in the ingest that enables it to do that (i.e. it learned on pictures of Spider-Man available on the Internet, and thus all output is tainted because the images are copyrighted).

    The first option makes more sense to me than the second, but if I’m being honest I don’t know if the entire framework makes sense at this point at all.


  • A lot of this can be traced back to the invention of photography, which is a fun point of reference, if one goes to dig up the debate at the time.

    In any case, the idea that humans can only produce so fast for so long and somehow that cleans the channel just doesn’t track. We are flooded by low quality content enabled by social media. There’s seven billion of us two or three billion of those are on social platforms and a whole bunch of the content being shared in channels is created by using corporate tools to make stuff by pointing phones at it. I guarantee that people will still go to museums to look at art regardless of how much cookie cutter AI stuff gets shared.

    However, I absolutely wouldn’t want a handful of corporations to have the ability to empower their employed artists with tools to run 10x faster than freelance artists. That is a horrifying proposition. Art is art. The difficulty isn’t in making the thing technically (say hello, Marcel Duchamp, I bet you thought you had already litgated this). Artists are gonna art, but it’s important that nobody has a monopoly on the tools to make art.


  • It’s not right to say that ML output isn’t good at practical tasks. It is and it’s already in use and has been for ages. The conversation about these is guided by the relatively anecdotal fact that chatbots and image generation got good so this stuff went viral, but ML models are being used for a bunch of practical uses, from speeding up repetitive, time consuming tasks (e.g. cleaning up motion capture, facial modelling or lip animation in games and movies) or specialized tasks (so much science research is using ML tools these days).

    Now, a lot of those are done using fully owned datasets, but not all, and the ramifications there are also important. People dramatically overestimate the impact of trash product flooding channels (which is already the case, as you say) and dramatically underestimate the applications of the underlying tech beyond the couple of viral apps they only got access to recently.


  • Yep. The effect of this as currently framed is that you get data ownership clauses in EULAs forever and only major data brokers like Google or Meta can afford to use this tech at all. It’s not even a new scenario, it already happened when those exact companies were pushing facial recognition and other big data tools.

    I agree that the basics of modern copyright don’t work great with ML in the mix (or with the Internet in the mix, while we’re at it), but people are leaning on the viral negativity to slip by very unwanted consequences before anybody can make a case for good use of the tech.


  • I think viral outrage aside, there is a very open question about what constitutes fair use in this application. And I think the viral outrage misunderstands the consequences of enforcing the notion that you can’t use openly scrapable online data to build ML models.

    Effectively what the copyright argument does here is make it so that ML models are only legally allowed to make by Meta, Google, Microsoft and maybe a couple of other companies. OpenAI can say whatever, I’m not concerned about them, but I am concerned about open source alternatives getting priced out of that market. I am also concerned about what it does to previously available APIs, as we’ve seen with Twitter and Reddit.

    I get that it’s fashionable to hate on these things, and it’s fashionable to repeat the bit of misinformation about models being a copy or a collage of training data, but there are ramifications here people aren’t talking about and I fear we’re going to the worst possible future on this, where AI models are effectively ubiquitous but legally limited to major data brokers who added clauses to own AI training rights from their billions of users.




  • As fas as I know there’s nothing keeping restaurants or bars from charging to use the toilets. Also as far as I know, and I’ve used public toilets in restaurants and bars in most of the countries you list many, many times over several decades, those are exceedingly rare and absolutely not the norm. That was true 40 years ago and it’s true today.

    The type of toilet is a different thing and yeah, until maybe the late 90s a lot of Europe was no stranger to squatting toilets. Honestly, for pubs and places where you’re mostly disposing of the drinks you’re having, I’m not even sure they’re a bad idea. Less accessible and whatnot, but I’m not sure a sit down toilet with a carefully developed patina of beer urine developed over years of sloppy drunken aim is a safer or cleaner proposition.