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Cake day: February 28th, 2026

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  • String theory has made predictions that have turned into real world results. For example, it accurately predicted the properties of quark-gluon plasma. Sure, quantum chromodynamics can be used to make these predictions too but it’s vastly more difficult.

    That’s why scientists keep working on it, because the value in a model is in its predictive power and a model’s ability to make predictions elegantly is incredibly important for doing real world work.

    The truth of the underlying perspective a model has on the universe is kind of secondary. Newtonian mechanics was wrong. Einstein’s relativity was wrong. Quantum mechanics is, at the very least, incomplete. String theory most likely is wrong too. But they’re still useful and valuable in the right contexts.


  • I don’t think being falsifiable is the most important part of a model. It’s their ability to make accurate predictions about what happens in reality. All models are wrong. Some are useful, the saying goes.

    Newtonian mechanics, which we know is wrong, can still be used accurately for a lot of near-earth orbital calculations. It got the Apollo missions to the moon.

    It’s my understanding that one of the most useful things about string theory is that it can make some really complicated or intractable problems much easier to solve within its frameworks. That’s valuable, regardless of how truthful it is that everything is made of 11 dimensional strings.





  • Fatal@piefed.socialtoLemmy Shitpost@lemmy.world🫤🤬🥴
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    3 months ago

    How does that make sense lol. If everyone is 5 minutes late, then the whole schedule shifts back 5 minutes. The only way it builds into an hour long wait is if they’re being overbooked on an over optimistic schedule. Hoping they’ll only take X minutes but they actually take X+5, for example.





  • Guys, you can laugh at a joke. The AI doesn’t win just because someone upvoted a meme. Maintainability of codebases has been a joke for longer than LLMs have been around because there’s a lot of truth to it.

    Even the most well intentioned design has weaknesses that we didn’t see coming. Some of its abstractions are wrong. There are changes to the requirements and feature set that they didn’t anticipate. They over engineered other parts that make them more difficult to navigate for no maintainability gain. That’s ok. Perfectly maintainable code requires us to be psychics and none of us are.


  • Fatal@piefed.socialtoComic Strips@lemmy.worldThe King's Art
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    3 months ago

    A few do. You draw in cold water from the depth of a lake or fjord and pass that through a heat exchanger before dumping it back in the reservoir. It’s more common in power plants. There’s only so many places where the geography works out for this though.

    Funnily enough, if you actually look into the source of these data center water consumption memes, they typically count that circulated water as “consumed” by the data center despite the fact that, you know, it doesn’t actually go anywhere.