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Joined 7 months ago
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Cake day: November 21st, 2023

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  • I’m pretty sure it’s more like

    Junior dev: Got all the nice addons, RGB lighting, only uses dark theme, got all the stickers, works from either a café or moms basement.

    VS Senior dev: Works on company standard issue hardware, barely customizes visuals (but got a script which makes a cup of coffee on the shared machine in exactly 2 minutes and 30 seconds), works in shared office, has old rolling cabinet with unknown artifacts last touched 10+ years ago.

    Obviously this is an overgeneralization and not a catch-all, you might even say that it’s “programmer humor”.




  • Agreed for induction, but I’d mich rather use one or two minutes more cleaning the knobs than having to almost cook my finger on this 60-90 degree Celcius hot conventional stove’s touch surface to change the plate from step 7 to 4 for 10 FUKKEN SECONDS! OUCH!

    Having to restart it 2-3 times during cooking because it got confused (pan moved slightly to the side) is also rather annoying.

    Edit & tl:dr: Touch works decent on induction, just please keep it far away from any conventional stoves.




  • Same, I’ve got an Opel Corsa from 2016, so it’s pretty much brand new.

    The only things in the wheel are the speed control, wipers, and default lights.

    For everything else required for driving, such as fog lights, emergency lights, front and back Window heating, AC, radio, and of course the shift stick, I’ll need to remove a hand from the wheel.

    Luckily for me, the Touchscreen in the middle only handles less important things like navigation and external music sources.


  • Neural nets are a technology which is part of the umbrella term “machine learning”. Deep learning is also a term which is part of machine learning, just more specialized towards large NN models.

    You can absolutely train NNs on your own machine, after all, that’s what I did for my masters before Chatgpt and all that, defining the layers myself, and also what I do right now with CNNs. That said, LLMs do tend to become so large that anyone without a super computer can at most fine tune them.

    “Decision tree stuff” would be regular AI, which can be turned into ML by adding a “learning method” like a KNN or neural net, genetic algorithm, etc., which isn’t much more than a more complex decision tree where decision thresholds (weights) were automatically estimated by analysis of a dataset. More complex learning methods are even capable of fine tuning themselves during operation (LLMs, KNN, etc.), as you stated.

    One big difference from other learning methods and to NN based methods, is that NN likes to add non-weighted layers which, instead of making decisions, transform the data to allow for a more diverse decision process.

    EDIT: Some corrections, now that I’m fully awake.

    While very similar in structure and function, the NN is indeed no decision tree. It functions much the same as one, as is a basic requirement for most types of AI, but whereas every node in a decision tree has unique branches with their own unique nodes, all of a NN’s nodes are interconnected to all nodes of the following layer. This is also one of the strong points of a NN, as something that seemed outrageous to it a moment ago might have become much more plausible when looking at it from a different point of view, such as after a transformative layer.

    Also, other learning methods usually don’t have layers, or, if one were to define “layer” as “one-shot decision process”, they pretty much only have a single or two layers. In contrast, the NN can theoretically have an infinite amount of layers, allowing for pretty much infinite complexity as long as the inputted data is not abstracted beyond reason.

    At last, NN don’t back-propage by default, though they make it easy to enable such features given enough processing power and optionally enough bandwidth (in the case of chatGPT). LLMs are a little different, as I’m decently sure they implement back-propagation as part of the technologies definition, just like KNN.

    This became a little longer than I had hoped, it’s just a fascinating topic. I hope you don’t mind that I went into more detail than necessary, it was mostly for the random passersby.


  • AI is a very broad term, ranging from physical AI (material and properties of a robotic grabbing tool) to AI (as seen in many games, or in a robotic arm to calculate path from current position to target position) and to MLAI (LLM, neural nets in general, KNN, etc.).

    I guess it’s much the same as asking “are vehicles bad?”. I don’t know, are we talking horse carriages? Cars? Planes? Electric scooters? Skateboards?

    Going back to your question, AI in general is not bad, though LLMs have become too popular too quick and have thus ended up being misunderstood and misused. So you can indeed say that LLMs are bad, at least when not used for their intended purposes.




  • Criminals will always find a way. Make a surveillance state, and they’ll just break the law and use encrypted communication anyway. Might even hide data in other data if necessary.

    That said, I’d wager that there are quite a few of those communities hidden in plain and unencrypted sight (discord, fediverse, etc.), but they just keep it small enough to not be found (The ones on discord did get found out eventually, but probably just moved platform). So the question would aris: why do these exist when we apparently have the resources to monitor EVERYONE given the chance?

    Best you can do is to report communities and places where it runs rampant to the relevant authorities. That’s much more efficient than the authorities having to make privacy-violating laws and crawl the net themselves.


  • I don’t think it matters whether you’re labelled a Nazi or not, when the country that hires you you defect to puts the weapons of mass destruction you were helping to research to practical use.You’re assisting horrible people, one way or the other.

    The Nazis were most definitely planning on doing the same thing had they gotten the chance, mind you, but I cannot fathom one using the weapons of mass destruction that the evil of the world planned to use, on not one, but two cities containing mostly civilians, and then call oneself a “hero” or the “good guy”.


  • Right, my bad. I thought you were explaining turbines in relation to the post, which would indeed have one attempt to run sand through it if not used with either liquid or steam.

    I also wrote turbine and generator separately, as, as you stated, turbines and generators are not the same. I, in turn, hope I didn’t give the impression that they were.

    I fully agree about the system as a whole better being described as a battery, which usually includes generators of some sort to convert the stored energy back into electricity.

    And yes, this is a rather precarious article, which also is why I wrote the half-question half-joke about unnecessary conversion steps using turbines.