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Cake day: September 8th, 2025

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  • ikr?

    All the big tech companies are pushing AI into everything to pump their “growth” story, but it’s mostly shit.

    Still useful, granted; for example, yesterday I needed a complex spill formula in Excel to de-aggregate a delineated list of data (in one column) while preserving (repeating) all other key data in the rows. I could have figured it out manually, but I used AI. It got it completely wrong, multiple times, but I was eventually able to parse out three Excel functions I’d never used before to make it happen, mostly with my own code since the AI fucked it up so badly.

    But I doubt I could do it again by hand today, let alone in a few weeks/months. So, it saved me some time but at the cost of my learning new skills.

    I think my use case yesterday is very indicative of the economic value of AI; it can help experts do small tasks faster, at the cost of long term learning. It has some value, but only like 1% of the value relative to its market valuation.

    I can’t wait for it to crash and burn. The longer this house of cards keeps growing, the worse the crash is going to be.


  • Plus everybody is like ‘it’s the same thing, no learning curve’ but then I start reading up on it and uhoh, learning curves :p

    Exactly this. I tried podman, as a “container” newb, based on the idea that it’s a (better) drop-in replacement for docker, but it didn’t work. My quick attempts to resolve it went nowhere, and there were no instructions for the container I was trying to spin up for podman to explain the differences required.

    So, in frustration, I decided to try docker and it just worked.

    Good enough for me, for now. I still prefer the idea of not having a daemon running with root privileges, so I’ll likely move over to podman eventually, but I only have so much time to waste tinkering with my setup. And if it ain’t broke, don’t fix it.




  • It’s tightly interconnected with accessibility because alternative input systems, like eye gaze input, macros to expand text, and other accessibility tools for alternative input hardware all friends in the same types of window-agnostic input interacting. (Similarly for output hardware, I think?)

    Like, custom text replacement with XCompose breaks because of how Wayland “silos” programs, which is why ~/.XCompose files only partially work in KDE Plasma. If Wayland/KDE fully implemented accessibility tools, then it would be possible to solve all of these problems.

    Or, at least, that’s my layman’s understanding of the situation.



  • I’m in a similar situation; I built my computer a few years ago, and now, 3+ years later, my machine would cost like ~50% more for similar specs. It’s nuts.

    Like, I would be the target demographic for this, if hardware prices weren’t fucked right now. I fully intend to buy one, but only once the price drops in a couple of years, once the AI bubble bursts and chips get re-prioritized back to consumer hardware again.

    If my computer died today, I’d probably try to buy a Gabecube to replace it, and install CachyOS on it to use as a desktop computer and Steam Big Picture mode for gaming with the controller. (Nothing against SteamOS — I love it on my Decks! — but I’d want something more focused on the desktop experience as my main computer.)


  • The original model says:

    Printed in PLA, it’s probably fine.

    I’d probably go for PETG, myself, since it’s more heat resistant without warping.

    Regardless, you can get 4.4 of JAYO PETG or PLA for about $56 CAD (~50 + taxes), so it’s about $13/kg if you are okay with whatever colours come in a 4-pack of spools. So it’s pretty reasonable.

    Tack on 1KHh per ~4 hours of print time, (PETG prints at higher heat = more energy, PLA lower) which for a case like this might be up to 2 days print time, so maybe 12 KWh, or about another $1.50 CAD-ish. Rounding up a bit for error, $15 CAD would be the materials and power cost, roughly, using some of the cheapest filament available.

    The biggest cost to 3D printing is really the time and effort to set up and maintain the machines, filament, and prints, especially for one-offs, if you value your time at a reasonable wage. Finding the right model, adjusting slicer settings, and analyzing and fixing print imperfections take up most of the cost. (Not even getting to costs in time and materials iterating on prints).




  • I was thinking about this, and there are two easy workarounds, I think:

    1. If possible, get a second active card in the same name. Ideally, a full-identical cloned card. Not sure if this would be allowed, but if not…
    2. Add another authorized user to your account and never give them the card, then just dissolve that card for tap payments.

    But, in either case, I do think you might run into a different issue: automated fraud detection sometimes requires me to chip+PIN, even for transcribed below the tap limit. This has happened to me when traveling. I don’t think there would be any way around that, and if you then fail to authenticate with chip+PIN, it’s reasonable to think that the bank would lock your card for contactless payments until you successfully authenticate the card again with chip+PIN. (To be clear: this is only speculation; not sure if that would be an issue in practice.)

    So, I suspect that whether this would work or not might depend on your institution (or maybe jurisdiction?)



  • Sure, but that’s not what this is about. This isn’t just banning AI-written code, it’s banning AI-assisted code. If you even use a Google Gemini “AI-summary” at the top of your search results for something simple like the name of a function, then your code is AI-assisted.

    There’s no way anyone can detect that. And banning it is silly.

    But the point is, imho, that if nobody can tell if it’s AI-assisted, then who cares? This is more for them to fire a warning shot that you’d better be sure your AI-assisted code is good enough to pass, or they can reject or and, potentially, ban you without notice.



  • But then why is it still free on Windows? Remove the basic tier entirely, then.

    Especially if you’re correct that is a server/client system, then someone will just soon up a Docker container that has all of Windows 11 LTE and the Windows version of this pre-configured, so people can continue to use it in Linux anyway, or switch to an open-source alternative. They’re already supporting and releasing Linux builds, so this doesn’t seem to gain them anything and, instead, may cost them marketshare and goodwill.

    I’m confused.