Finally “upgraded” my #ender3v2 #3dprinter and replaced its fans(after like 3 weeks of the printer sitting waiting for me to do something)
The fans and entire head dont feet that perfectly together, so i might print another head someday(also cable work is a mess and im bad at it)
I am thinking about trying a dual spool setup one day but until then i have some time
@RustyStriker Well off the top of my head we have a bunch of tab management options, web panels, mail, calendar, feeds, ad blocker, tracking protection, translate, mouse gestures, editable toolbars, reading list, a typed command interface (and macros), notes manager, sound controls, extensive theme management …
Holy wow, I just took my usual walk(roughly 3.6km) and managed to maintain an average speed of 6.4km/h
(took me around 33 minutes)!
I think this is the best walk i had so far
#walking (do people use tags to talk about their daily walk?)
Hey fedi, anyone knows of a good #FLOSS #rssreader with a home screen wodget for android?
Was using posidon launcher untill now and i dont think i can drop the rss feed on the home screen
Ok. This is a serious one. Please, share but vote only "I would like to know as well" if you don't know what this is about.
Is Systemd really THAT bad?
#gentoo #openrc #systemd #controversy #alpine #alpinelinux #fedora #redhat #debian #ubuntu
Also printed 2 charizards(first was a test) but the second’s arms were sloppy and fell off so imma try again in a couple of days with better support for the hands
Finished printing one of tge blocks for the portal book holders, it took 6 hours for the block itself and the heat really doesnt help, gonna print the second half later today(already got the second portal and the second half of the little fella)
Btw, I believe that #AI has hit a philosophical wall that technology alone cannot move.
When I started working on AI in the mid 2000s, it was still all about expert systems, decision trees that modeled first-order logic, onthologies, and graph exploration to come up with a best strategy to solve a problem.
That generation of AI could already solve impressive problems, but it was limited by the amount of knowledge that humans could put into it to describe all the possible combinations of a complex problem, or all the possible logically valid propositions, or all the grammar rules of a language.
It was a purely reasoning-based AI. Deterministic, reliable, but its utility was constrained by the amount of logical and algorithmic rules that humans could put into it.
Then computing became cheaper and more scalable, data for big corporations became cheaper and scalable as well, and neural networks, largely forgotten for nearly 25 years, got their moment. We suddenly got statistical systems that could figure out patterns and rules from labeled data, without a human explicitly encoding them into a graph. And we really thought that we had solved the problem of AI. But then you get systems that can recognize a human and a stop sign individually, but don't know what to do when they are together - because it was never trained to deal with such an unusual combination, or even told what the real meaning of a stop sign is.
Deep learning trashed away decades of reasoning-based expert systems to focus on empirical models trained through statistical pattern matching, but in doing so it created parrots that can talk about anything without even understanding what they're talking about.
It's again the long-lived clash between rationalism and empirism. In spite of the technology, these problems have been around at least since the times of Plato. Do we through deduction (we learn the basic building blocks of reality, and then we learn how to logically connect them together in increasingly complex structures), or do we learn through experience (by observing and replicating things again and again, measuring the feedback, and gradually converging towards a local optimum that statistically minimizes the odds of error)?
Well, it turns out that we may need both, but we can't make such a big theoretical leap in understanding how machines (and even humans) learn while the whole field is in the hands of a handful of companies mostly interested in doing small iterative improvements over their existing imperfect models, with little to no incentives to take big risks required to really push the industry forward.
Also, fedora didnt want to power off for some reason, now i have artix(base install) with gnome, but gnome doesnt allow me to login for some reason
Doing some distro hopping on my laptop while at my parents, and so I installed fedora but I dont think i like it, so i wanted to try pop os, but after burning the iso using dd multiple times, and downloading twoce the img, i gave up and swotched to artix again, but it seems to also be broken, so i guess dd on fedora is just broken
Been working on a level editor in #rust using #bevy and #egui (the editor will be a general editor tho)
Already got:
while it doesn’t seem like much my focus was mostly on the shapes part of it
Source code: https://gitea.rustystriker.dev/RustyStriker/shape_maker
A Time Lapse video of a #3DPrint done in octoprint.
The printer pauses after every layer, moves the print head out of the way and Octoprint takes a still frame, which, when all sown together at the end, gives the impression the object is magically growing from the print bed!
Was trying to print something that had a lot of small parts in it, causing a lot of retractions in a short span of time, and it caused the extruder to EAT INTO the filament..
The worst part, ot only happened 3 hours into the print…
#3dprinting #ender3
I am Rusty Striker The First