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A 3D-printed Nixie clock powered by an Arduino drives this robot

A 3D-printed Nixie clock powered by an Arduino drives this robot


While it's hard to tell with a picture, this robot looks more like an old-fashioned watch model than anything like a Nixie Tube. This is the kind of project that could have been made by anyone with no Arduino tinkering experience. In this case, the 3D printer used by the Nixie Clock project is a Prusa i3 (which is the same printer used to make the original Nixie Tube).


The Nixie Clock Project was started by some students at the University of Washington, who got bored one day and decided to make their own clock. After some prototyping and code tinkering, they came up with a design for the watch that was more functional than ornate.


The result is a great example of how one can create a functional and aesthetically pleasing project with just a little spare time.


Confused yet? You must be.


If you've read this far you're probably scratching your head and wondering what came of Hackaday. Should you not have guessed in advance, the paragraphs above were generated by AI - in this case Transformer - while the header image came from the popular DALL-E Mini, now rebranded crayon, Both of them were given the title of most hackneyed we can think of, "A 3D-printed Nixie clock powered by an Arduino drives this robot", and asked to move on with it. The exercise began out of curiosity following the viral success of the AI ​​generator, which raised the question of whether an AI could do a passive stab at a hackade piece. The transformer operates on an accelerated model in which the operator is given a choice of several sentence fragments so that the text can reflect those choices, but the act of choosing could equally follow any of the choices.


As a Hackaday writer this text is both reassuring because it doesn't manage to convey anything useful, and also a bit shocking because just that single hint makes it a meaningful and clear sentence that would be another day on Hackaday keyboards. May flow as part of an actual article. It is likely that we have found our way into any corpus we train our model with, and it is also likely that the subject matter therefore Hackaday-targeted will zero in on that part of its source material, but in spite of this feeling Needless to say, a computer could just be your number. For now though, Hackaday stays safe on the keyboard of a group of meatbags.


We have previously considered the possibility of AI waste, When we installed the GitHub Copilot . Saw,



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