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Joined 4 months ago
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Cake day: December 6th, 2024

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  • You can keep on seeding after downloading and your torrenting program will still manage to upload to any member of the swarm for that torrent that it connected to (even if only to check their status) during the download phase.

    This should be enough to get you consistently above a 1:1 upload to download ratio for any popular public torrents, though for those with very few leechers you might never get there.

    The lack of port forwarding is only a problem for remote machines your program has not connected to during the current session for a torrent (i.e. not yet seen machines that try to connect to your client), which means you can’t seed at all in a purely for seeding session or upload to machines that joined the swarm after your download was done in a mixed session.

    If your pattern of usage is that of mainly a downloader of public torrents who tries to give back to the communy at least as much as they took and whose not mainly into obscure stuff, it works fine.


  • It massively depends on the country - it’s probably fine in Southern and Eastern Europe but not for example in Germany were if I’m not mistaken copyright violation is even part of Criminal Law rather than Civil Law as in pretty much the rest of the World.

    Personally ever since I lived in the UK - which has the most insane levels of civil society surveillance in Europe, including of Internet usage - I got into the habit of doing pretty much everything behind a VPN, which also helps with peace of mind for the whole torreting thing no matter which country I’m living in at the moment, plus I pay 5 euros a month for the VPN which is less than a single streaming service, so in a way it pays itself (it’s funny how piracy compensates for the costs of protecting myself from dragnet surveillance).



  • “Good” old Nazi thinking never left the German elites, hence their “unwavering support” for a nation committing Genocide very openly because of the race of its people, hence the highly manipulated Press over there spreading and amplifying race-based views and hence their casual bypassing of legal rights to silence those who would demonstrate against such ultra-racism and the support of Genocide based on it.

    They might have changed who the ubermenschen and the untermenshen are but they still keep on classifying people into those two categories by race and treating then very differently, as well as using force to silence dissent against such views and practices.

    In light of Russia’s aggressiveness, the recent news of Germany militarizing itself sounds like good news, but in light of the increasing regression of Germany back to their old extreme-racist and repressive practices those are very bad news - a Germany which thinks race justifies Genocide and suppresses by force dissent from such way of thinking is bound to sooner or later once again use such military power against those they deem “lesser races”


  • Yupes, good old “benevolent” sexism.

    Prejudice, just like the Far-Right, just with different “superior” and “inferior” groups.

    Historically the best criteria for selecting people to positions of power is how little they want power, not gender or race.

    (Personally I think that’s because people who do not want power see it as a burden, and they do so because for them power is a great responsability towards many others - what sane individuals would ever want to be in a position were they can ruin the lives of countless people by making a mistake - and that’s exactly the kind of people you want to entrust with it, not the ones for whom power is a form of ego-stroking or even a tools for personal upside maximization)




  • It varies massivelly depending on the ML.

    For example things like voice generation or object recognition can absolutelly be done with entirelly legit training datasets - literally pay a bunch of people to read some texts and you can train a voice generation engine with it and the work in object recognition is mainly tagging what’s in the images on top of a ton of easilly made images of things - a researcher can literally go around taking photos to make their dataset.

    Image generation, on the other hand, not so much - you can only go so far with just plain photos a researcher can just go around and take on the street and they tend to relly a lot on artistic work of people who have never authorized the use of their work to train them, and LLMs clearly cannot be do without scrapping billions of pieces of actual work from billions of people.

    Of course, what we tend to talk about here when we say “AI” is LLMs, which are IMHO the worst of the bunch.


  • The expression “back to baseline” comes from Science and Engineering and literally means that something has gone back to the previous average flat level (for example: “the power line noise level spiked when your turned the machine on but is now back to baseline”)

    Edit: not average, but actually specifically the original flat level below which things would not fall. Sorry, it’s kinda hard to explain in words but very easy to point out in a graph or a scope were it’s just this flat line to which things always return.

    That expression makes sense if you’re talking about the rate of growth itself (i.e. the Lemmy rate of growth spiked at the time of the Reddit changes and eventually went back to baseline, since Lemmy is not growing any faster now than before the Reddit changes) but it doesn’t make sense if you’re talking about user numbers since the number of Lemmy users grew a lot with the Reddit changes and never went back to the average before them, not even close.

    Your original post is not clear on which of those things you’re talking about when you wrote “back to baseline” and your subsequent posts are mainly talking about user numbers, giving the idea that that’s what your “back to baseline” is refering to, in which case you’re using that expression incorrectly.