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Joined 11 months ago
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Cake day: November 19th, 2023

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  • In case you aren’t joking, I believe the relevant statement is that acceleration and “a change in velocity over time” are the same thing.

    If you imagine driving a car forward in a straight line, pressing the gas will make you accelerate (velocity becomes more forward). Pressing the brake will also make you accelerate (velocity becomes less forward). Turning the steering wheel will also make you accelerate (velocity points more to the left/more to the right).

    While I’m at it, you can do physics computations in a rotating frame of reference, but it produces some fictious forces, and gets really wacky quickly. An easy example is that anything far enough away from the axis of rotation is moving faster than the speed of light.



  • prime_number_314159@lemmy.worldtoScience Memes@mander.xyzshrimp is bugs
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    5 months ago

    Like today’s computer scientists, early biologists sucked at inventing new words, and simply reused existing ones. “Berry” in common language is a small, usually sweet and edible, fruit. Strawberries, blueberries, blackberries and raspberries are all berries.

    Then biologists came along and decided, actually, strawberries, raspberries and blackberries are out, but watermelon and bananas are in, because the size of the fruit doesn’t matter, only the placement of the seeds decides whether something is a proper, scientific berry.

    A similar thing has happened with “fruit” and “vegetable”, where scientific fruits include cucumbers, eggplants, and pumpkins. Luckily, all three of these are also berries.

    I say we ignore them, and use words to mean sensible things.


  • The (really, really, really) big problem with the internet is that so much of it is garbage data. The number of false and misleading claims spread endlessly on the internet is huge. To rule those beliefs out of the data set, you need something that can grasp the nuances of published, peer-reviewed data that is deliberately misleading propaganda, and fringe conspiracy nuts that believe the Earth is controlled by lizards with planes, and only a spritz bottle full of vinegar can defeat them, and everything in between.

    There is no person, book, journal, website, newspaper, university, or government that has reliably produced good, consistent help on questions of science, religion, popular lies, unpopular truths, programming, human behavior, economic models, and many, many other things that continuously have an influence on our understanding of the world.

    We can’t build an LLM that won’t consistently be wrong until we can stop being consistently wrong.






  • Cost is obviously a big factor. Almost every printer can change to any nozzle size and layer height for just the cost of the nozzle. Print volume is a major limitation, depending on your use case. The filaments it can print will probably be the same across any relatively low cost printers, with the only significant change being direct drive vs. Bowden.

    Bed leveling is huge, and makes probably the most difference in print quality on low cost printers these days. If there’s an easy way to tension the belts, that’s a plus. If there isn’t a power switch on the front (or even if there is), a emergency stop switch can be a help, like if the nozzle is running into the bed.

    Maintenance varies from printer to printer, generally you’re aiming for tight but not too tight on any belts or rollers. If the pulleys on the motors aren’t preinstalled, use something like loctite blue to fix them in place better.

    Also make sure if you plan to buy a printer that it’s got a decent amount of community around it. Running into the same problems with a bunch of other people is a big plus as a beginner, so popular printers are better.

    Teaching Tech made a calibration guide website that I’ve had a lot of good experiences with.


  • I’ve known a lot of math people, and /on average/ I think they’re more capable of programming useful code than the other college graduate groups I’ve spent a lot of time working with (psychology, economics, physics) /on average/.

    That said, the best mathematicians I’ve known were mostly rubbish at real programming, and the best programmers I’ve known have come out of computer engineering or computer science.

    If you need a correct, but otherwise useless implementation, a mathematician is a pretty good bet. If you need performance, readability, documentation, I’d look elsewhere most of the time.





  • Everyone is mentioning the imaginary (and, presumably complex) number domains, but not quaterions and other higher dimensional number sets.

    I’m going with defining a describeable number as any number that, given any finite period of time and any finite amount of resources, could be uniquely described to another entity with the ability to read and understand the language it is being described in, then saying all numbers are either describeable numbers (Despite the fact that these are almost laughably uncommon in the scheme of all numbers, I have diligently prepared an example: “2”), or indescribeable numbers (so much more common, and yet I can’t give even a single example).