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Cake day: June 11th, 2023

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  • The police have gotten very effective at quashing effective movements, and we’ve had decades of concerted effort to make it more difficult to organize and to get people to actually oppose the concept of effective resistance in their own favor.
    People with power don’t want people threatening to destabilize that power. People who set media narratives need access to people with power, and so they don’t want to convey those destabilizing factors positively.
    This makes people view them negatively, if they even see them at all.

    America has never had a culling of the rich and powerful. The closest we got was when we decided to exchange a rich and powerful person far away for a few closer to home.
    As such, there’s no weight given to the morale of anyone who isn’t rich and powerful.
    Reporters, politicians and businesses people have never had to put their heads in the scale when making choices.


  • This isn’t the best or most popular way to do it, but: https://learn.microsoft.com/en-us/windows/wsl/install

    There is a way built into windows to deploy and use Linux from inside windows.

    It’s not the most pure experience, but it’s a way to make sure you have something like a feel for how some parts work before jumping in any deeper.

    A bootable USB stick is another way to try before you commit. Only reason I might suggest starting with trying it the other way first is in case you run into issues connecting to the Internet or something you won’t feel totally lost. Having to keep rebooting back into windows if you have a problem can be frustrating, so getting a little familiarity with a safety line can help feel more confident.

    Issues with a USB boot are increasingly uncommon, as an aside. Biggest issue is likely to be that USB is slow, so things might take a few moments longer to start.

    From there, you should be pretty comfortable doing basic stuff after a little playing around. Not deep mastery, but a sense of “here are my settings”, “my files go here”, “here’s how I fiddle with wifi”, “here’s how I change my desktop stuff”. At that point a dual boot should work out, since you’ll be able to use the system to find out how to do new things with the system, and also use it for whatever, in a general sense.

    If it’s working out, you should find yourself popping back into windows less and less.



  • Oh, I totally know there’s been a lot of politics in the Foss community and that some of the people are nasty, I’m just flabbergasted that someone would try to connect such disparate things.
    I can comprehend a Nazi Foss enthusiast having opinions on race and on window managers. It’s when they start having racist opinions on window managers that it all flies out the window. It’s like being opposed to copper plumbing because it’s too Norwegian.

    Just a case of seeing irrational people who act irrationally act irrationally in a new way and being shocked that the irrationality doesn’t follow a pattern or stay in topic.



  • Technically correct. The best kind of correct. :)

    I basically solved for shotgun, confirmed in was in the ~100V range and disregarded every other consideration for actually doing it.
    I’m pretty sure most hand sized capacitors would just pop if you actually tried to put that much in them.


  • Depends on the voltage it’s charged with, but household current would give it more energy than a shotgun has.

    Realistically one would not do that unless you were dealing with something industrial. You would use them otherwise for things like dampening lower voltage systems that need a lot of current.

    Closer to the danger level of someone holding two exposed wires plugged into the wall.





  • LLMs are prediction tools. What it will produce is a corpus that doesn’t use certain phrases, or will use others more heavily, but will have the same aggregate statistical “shape”.

    It’ll also be preposterously hard for them to work out, since the data it was trained on always has someone eventually disagreeing with the racist fascist bullshit they’ll get it to focus on. Eventually it’ll start saying things that contradict whatever it was supposed to be saying, because statistically eventually some manner of contrary opinion is voiced.
    They won’t be able to check the entire corpus for weird stuff like that, or delights like MLK speeches being rewriten to be anti-integration, so the next version will have the same basic information, but passed through a filter that makes it sound like a drunk incel talking about asian women.


  • Fundamentally, I agree with you.

    The page being referenced

    Because the phrase “Wikipedians discussed ways that AI…” Is ambiguous I tracked down the page being referenced. It could mean they gathered with the intent to discuss that topic, or they discussed it as a result of considering the problem.

    The page gives me the impression that it’s not quite “we’re gonna use AI, figure it out”, but more that some people put together a presentation on how they felt AI could be used to address a broad problem, and then they workshopped more focused ways to use it towards that broad target.

    It would have been better if they had started with an actual concrete problem, brainstormed solutions, and then gone with one that fit, but they were at least starting with a problem domain that they thought it was a applicable to.

    Personally, the problems I’ve run into on Wikipedia are largely low traffic topics where the content is too much like someone copied a textbook into the page, or just awkward grammar and confusing sentences.
    This article quickly makes it clear that someone didn’t write it in an encyclopedia style from scratch.


  • A page detailing the the AI-generated summaries project, called “Simple Article Summaries,” explains that it was proposed after a discussion at Wikimedia’s 2024 conference, Wikimania, where “Wikimedians discussed ways that AI/machine-generated remixing of the already created content can be used to make Wikipedia more accessible and easier to learn from.” Editors who participated in the discussion thought that these summaries could improve the learning experience on Wikipedia, where some article summaries can be quite dense and filled with technical jargon, but that AI features needed to be cleared labeled as such and that users needed an easy to way to flag issues with “machine-generated/remixed content once it was published or generated automatically.”

    The intent was to make more uniform summaries, since some of them can still be inscrutable.
    Relying on a tool notorious for making significant errors isn’t the right way to do it, but it’s a real issue being examined.

    In thermochemistry, an exothermic reaction is a “reaction for which the overall standard enthalpy change ΔH⚬ is negative.”[1][2] Exothermic reactions usually release heat. The term is often confused with exergonic reaction, which IUPAC defines as “… a reaction for which the overall standard Gibbs energy change ΔG⚬ is negative.”[2] A strongly exothermic reaction will usually also be exergonic because ΔH⚬ makes a major contribution to ΔG⚬. Most of the spectacular chemical reactions that are demonstrated in classrooms are exothermic and exergonic. The opposite is an endothermic reaction, which usually takes up heat and is driven by an entropy increase in the system.

    This is a perfectly accurate summary, but it’s not entirely clear and has room for improvement.

    I’m guessing they were adding new summaries so that they could clearly label them and not remove the existing ones, not out of a desire to add even more summaries.




  • Eh, there’s an intrinsic amount of information about the system that can’t be moved into a configuration file, if the platform even supports them.

    If your code is tuned to make movement calculations with a deadline of less than 50 microseconds and you have code systems for managing magnetic thrust vectoring and the timing of a rotating detonation engine, you don’t need to see the specific technical details to work out ballpark speed and movement characteristics.
    Code is often intrinsically illustrative of the hardware it interacts with.

    Sometimes the fact that you’re doing something is enough information for someone to act on.

    It’s why artefacts produced from classified processes are assumed to be classified until they can be cleared and declassified.
    You can move the overt details into a config and redact the parts of the code that use that secret information, but that still reveals that there is secret code because the other parts of the system need to interact with it, or it’s just obvious by omission.
    If payload control is considered open, 9/10 missiles have open guidance control, and then one has something blacked out and no references to a guidance system, you can fairly easily deduce that that missile has a guidance system that’s interesting with capabilities likely greater that what you know about.

    Eschewing security through obscurity means you shouldn’t rely on your enemies ignorance, and you should work under the assumption of hostile knowledge. It doesn’t mean you need to seek to eliminate obscurity altogether.




  • Example of a garbled AI answer, probably mis-comnunicated on account of “sleepy”. :)

    There was a band called flock of seagulls. Seagulls also flock in mall parking lots. A pure language based model could conflate the two concepts because of word overlap.
    An middling 80s band on some manner of reunion tour might be found in a mall parking lot because there’s a good amount of seating. Scavenger birds also like the dropped French fries.
    So a mall parking lot is a great place to see a flock of seagulls. Plenty of seating and food scraps on the ground. Bad accoustics though, and one of them might poop on your car.

    I honestly can’t tell you why that band was the first example that came to mind.