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Cake day: June 19th, 2023

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  • If your goal is to make mini figures, what you want is an SLA machine. They are much better at making small detailed objects than FFF. However, it will definitely cost more than a cheap FFF machine like an Ender 3.

    The Ender 3 variants are cheap and a great platform if you are OK with tuning/tweaking things. If set up properly they work great and are pretty reliable. But of you want something that works out of the box and doesn’t need any tweaking/tuning, you will probably be disappointed with it.











  • dack@lemmy.worldto3DPrinting@lemmy.worldModernizing an Ender 3
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    9 months ago

    The architecture is a bit different than octoprint. Fluidd and mainsail are purely client side UI’s, while Moonraker provides the server side API for them to connect to. So any additional functionality would need to integrate with Moonraker - not Fluidd/Mainsail.

    A lot of functionality that is plugin based in octoprint is core to Moonraker and fluidd/mainsail. Things like cameras, mesh bed tools, gcode viewer, UI layout customization, power device control, etc are all included.

    Spool manager is not something I’ve personally needed or used, but this would probably be a good option: https://github.com/Donkie/Spoolman








  • At a very high level, training is something like:

    • generate some output
    • give the output a score based on how much it looks like real human text
    • adjust the parameters slightly to improve the score
    • repeat

    Step #2 is also exactly what an “AI detector” does. If someone is able to write code that reliably distinguishes between AI and human text, then AI developers would plug it in to that training step in order to improve their AI.

    In other words, if some theoretical machine perfectly “knows” the difference between generated and human text, then the same machine can also be used to make text that is indistinguishable from human text.