Hi, I’m sbird! I like programming and am interested in Astrophysics and all things space. I also have a hobby of photography.

My previous main account was on Lemmy at sbeak@sopuli.xyz

  • 7 Posts
  • 36 Comments
Joined 12 days ago
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Cake day: September 14th, 2026

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  • I mean, all band names are made up in the end of the day. A lot of them are based on various pop culture references (think characters in movies or TV shows), for instance, the French band Luke’s name comes from the American movie “Cool Hand Luke”, none of the members are actually called Luke.

    Die Toten Hosen literally means “the dead trousers” in German, and it’s slang for “boring” (though their music is the opposite of that!), while Die Ärtze means “the doctors” in German.

    Ska-P is short for “ska punk” which is a mix of ska and punk (and it’s an awesome genre to listen too!)

    Kino is Russian for “cinema”, and there’s a variant of the “absolute cinema” meme that instead used a picture of Viktor Tsoi (the GOAT) with the words “absolute Kino”


  • Putting bases on the Moon means we can do more studies, experiments, etc. outside of Earth, particularly tasks that are difficult to complete by current rovers. Human physiology in low gravity situations, lunar geology, possibility of water and life outside of Earth, that sort of stuff. I’ll also echo what others have said about how the Moon could become a launching base for future explorations, given its lower gravity and lack of an atmosphere.

    There isn’t a conspiracy by lizard men to set up a Death Star, this is driven by the curiosity of humanity and our desire to explore the unknown. The “race” to have the first base between Americans and Chinese is, like during the Cold War between the former and the Soviets, a push to be the first, trying to show that they are ahead in terms of technology and science. In a nutshell, it’s driven by curiosity and, at least partly, national pride.



  • Not a recommendation, but you should look for a big fan, not a small one. The bigger ones are a lot quieter, as they don’t need to spin up as fast to push the same amount of air. The tiny fans sound like jet engines, please don’t get one of those!

    Alternatively, you could go with a fan that you flap with your hands, they usually fold up neatly and you don’t need to go looking for a USB outlet. Perhaps not as convenient though








  • If you define a stupid question as one where discussion is difficult or even impossible, then no, this is not a stupid question. Questions are meant to provoke debate and communication of differing ideas, and this is exactly what is happening now.

    A true stupid question would be like asking if guns can kill people. Of course guns kill people, there is no discussion about this. A better question could be how we should regulate guns and ways to avoid placing them in the wrong hands.






  • It’s not that “AI” is incorrect, more that it’s way too broad. It’s like how “leftism” is used to group social democracies, totalitarian dictatorships, and anarchism together, even though they are vastly different ideologies. For an example that is not based on politics, it’s like how you need more information than just “fiction” and “non-fiction” to pick a book to read.

    Good point on the cost of running a local model, but more efficient models exist that can run on memory capacities more typical for regular people (think 8-16GB of RAM). It doesn’t help that all the memory has been bought out for the data centres…



  • VR headsets effectively need to run two 4K displays, one for each eye, and you have all the processing for controller tracking too. You also have eye tracking, they’re doing the whole foveated streaming thing everybody has been gushing over about (it’s really cool tech!). The mobile chip they used is nothing special, it’s a Snapdragon 8 Gen 3, a 3 year old smartphone processor (certainly powerful enough to run lighter PC games, but nothing more than that. It’s kind of insane that a phone can even do that nowadays!)


  • To separate the weeds from the worms, I would avoid the term “AI” since it has devolved into a buzzword that’s stuck on everything.

    I think that if somebody has made a useful open-source project using LLMs, they shouldn’t be criticised solely for that reason. If the code produced is ass and isn’t reviewed, is hard to contribute to, and there is negligence, that would be a valid criticism. I also despise the use of the privacy nightmare of commercial LLMs (OpenAI, Anthropic, Google, etc.). If are to use LLMs, please use a local model. For you, your project, and your wallet’s sake. That’s my position on LLMs.

    I trust that you are doing your due diligence in keeping your code relatively clean, and hope that your project will succeed! I personally do not use LLMs for my projects, they do not fit my usecase, probably not for most people actually. But I can see the value of having an LLM do menial tasks, as long as the code is properly reviewed and checked.

    Generative models belong in the deepest circle in hell. They steal the work of creatives, are awful in the trifecta of morality, ethics, and legality, and are mainly used by scam artists (see: deepfakes) and misinformation campaigns. Nobody should use these, even if it’s a local model.

    Also, a bit off-topic, but you might have heard of all the “AI has solved (big problem in science)” or “AI proved (big maths thing)” headlines, but note that these are NOT your LLMs, and certainly not any kind of generative model. They use predictive models (sometimes the papers mention “deep learning” too) that are trained on a specific set of data to do a specific task, and most of the actual science and maths is done by humans. These models certainly won’t replace scientists or mathematicians, like the Big Tech companies want you to believe, but they are a valuable tool when it comes to doing menial tasks repeatedly. That’s what computers are best at, after all!


  • I feel like we should better differentiate between LLMs (the ones that literally tell you to eat rocks), generative models (the ones that are stealing the work of creatives without permission), and the ones that are actually used for neat science stuff, where they are trained on a specific set of data and are doing a specific set of tasks repeatedly in a controlled environment, rather than training on the entire internet and then some and trying to do everything!

    I think we should label them as large language models, generative models, and predictive models (maybe? Or maybe “targeted predictive models”?). It’s important to emphasise that all of these, even the useful ones, are not intelligent, they do not understand what they are doing. They are just models of data that do thing go in, thing go out.