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Joined 1 year ago
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Cake day: August 8th, 2023

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  • We played this game called Icarus last weekend because of a free weekend. It was okay for me, but I also have a pretty high-end PC for the 1080p monitor connected to it. Even for me the game was quite janky, but for my friends with older hardware the game wasn’t a good time. One friend’s microphone randomly turned into a max-volume noise generator while playing on multiple occasions, something that has never happened before. Another (who plays on Linux) experienced constant crashes and weird behaviour.

    After that disappointment we went back in time to The Showdown Effect for the first time in years, which was still as hilarious as ever. Apparently there’s an updated free to play version now (called reloaded or something?) so we’d have to check that out. Would recommend it if you’re looking to have some mayhem with friends .

    Edit: oh yeah and I also bought Grid Legends because it has a big sale and I like racing games. The driving physics don’t annoy me like the ones in The Crew or Forza so I’m having a good time with it till now




  • I’m not American, and I don’t agree with these people either, but I don’t think that calling them lazy and ignorant makes any sense. In the fucked up democracy of the US it’s clear that the only way to get what you want for the coming 4 years is to vote for the least bad candidate. At the same time I can definitely understand that if you view both candidates was horrible, though one way more horrible than the other, you would feel conflicted about voting for either of them.

    Let’s do a thought experiment. Assuming both candidates are still roughly equally “popular”. If both candidates wanted to start a genocide, but one would want to kill only 50% of the amount of innocents that the other would kill, how would you vote? Would you vote for the one who is overall the less bad option, which will in turn make you give your vote for something horrible. Or would you abstain and signal that the democracy as it currently stands has lost your confidence entirely, even if it means that on the short term the consequences might be way worse?

    Not voting actually costs the democrats something, and should (if they want to win next time) force them to think how to better represent you next time.

    It’s fucked up that your democracy came to this. It has become an annoying game theory dilemma instead of voting for the candidate that you actually believe in. Our system here in the Netherlands is certainly also not perfect, since we have too many parties and too long coalition negotiations, but at least I feel like it represents people way better. Anyone can start a party and capture seat if they represent a large enough niche.



  • Apart from the many compatibility issues with all kinds of random games that can usually be fixed within an hour (but still cost me too much time), the biggest one is specific stuff like playing Assetto Corsa with mods in VR using a Logitech wheel. It’s already a pretty hefty stack of things to keep working on Windows, but on Linux I cannot even get AC to start so I have no idea whether the rest will work.

    I’m already fighting computers all day. When I get home tired the last thing I want to do is to fight the computer even more. I just want a game to start without issue. Even on my Steam deck I have regular hard crashes of the system in multiple games, and my PC is probably less supported due to the more random set of packages installed





  • Lemmy generally attracts the same kind of person that would also use Linux. Both of them are open source and community driven alternatives to software otherwise provided by large corporations and milked for every last cent. Both of them require just a bit more knowledge in order to comfortably use them. Linux with all the distro’s and desktop environments, Lemmy with all the instances and apps/front-ends. We’re very much a bubble here.



  • Good meme. However I do think that most people starting out will not really have to deal with any of those issues in the first few years apart from maybe the pip/venv/poetry/etc choice. But whatever they’ll pick it’ll probably work well enough for whatever they’re doing. When I started out I didn’t use any external libraries apart from pygame (which probably came pre-installed). I programmed in the IDLE editor that came with Python. I have no idea how I functioned that way, but I learnt a lot and hat plenty of fun.




  • Imo it’s both overblown and very impressive. Deep neural networks are capable of many things that we didn’t even imagine 10 years ago. We’ve made huge leaps.

    The problem is that every company is putting “AI” in everything and techbro’s and managers are heavily overvaluing the technology. Most companies don’t need AI. In many cases there are way better methods to do the thing they want to do. The fridge or washing machine doesn’t need AI, the website of whatever company doesn’t need an AI assistant, and most people don’t need an AI accelerator in their laptop or phone.


  • gerryflap@feddit.nltoChat@beehaw.org*Permanently Deleted*
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    4 months ago

    My Thinkpad almost turns 10 this year and I still use it. It’s still quite snappy for normal browsing and programming work on the go. Because I had 2 batteries for it that were easily switchable, the battery that I’m using now is not yet completely dead and will take me 1-2 hours of programming.

    It has had its screen replaced due to someone kicking my bag and breaking the screen, and I’ve had to replace the keyboard at one point after showering the laptop in tea. But the ease with which you can replace stuff like the keyboard is awesome. The thing is definitely built to last



  • Machine learning and compression have always been closely tied together. It’s trying to learn the “rules” that describe the data rather than memorizing all the data.

    I remember implementing a paper older than me in our “Information Theory” course at university that treated the creation of a decision tree as compression. Their algorithm considered sending the decisions tree and all the exceptions to the decision tree and the tree itself. If a node in the tree increased the overall message size, it would simply be pruned. This way they ensured that you wouldn’t make conclusions while having very little data and would only add the big patterns in the data.

    Fundamentally it is just compression, it’s just a way better method of compression than all the models that we had before.

    EDIT: The paper I’m talking about is “Inferring decision trees using the minimum description length principle” - L. Ross Quinlan & Ronald L. Rivest