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Joined 5 months ago
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Cake day: September 8th, 2025

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  • I could see it for some things. It would be great for browsing 3D print models or furniture—items where the shape/size matter a lot.

    Like, an IKEA app that uses AR passthrough to show furniture options in your space? That’d be really cool, if it could be trusted not to spy on you.

    Or an interior design app, that gave you a variety of options it pulls from a variety of sources, and you could add items to your cart right from the app?

    For 3D prints, it would be great to have a virtual storefront of models to see, pick up, rotate, etc. 3D print .STL files are shockingly large (often 100MB+ for a single model), so idk if it’s realistic, but it would be a great use case if it was feasible. (My current special interest is showing…)



  • SEO-based business models used blogspam before. It’s the same SEO garbage that gets it into search results, but the content is now AI slop instead of contracted labour at pennies/word.

    And search is garbage, now, because of enshittification; Google gets more money when you give up and couch the sponsored links, and re-query or load more pages of results to load more ads. So there’s no incentive for them to filter the spam.


  • The big difference with the two recent ICE murders is that the video evidence:

    • Is graphic
    • Clearly shows no wrongdoing on the part of the victims
    • Shows sudden and completely unnecessary escalation to murder

    And they were both US citizens, so ICE has no jurisdiction. So it doesn’t even matter if they were serial murderers—that’s a police matter, not immigration. (And, obviously, being white and valued members of their communities matters, too.)

    Contrast that with:

    • The Canadian who died in custody because they were denied access to necessary life-saving medications has plausible deniability.
    • Many deaths by suicide in custody are “their fault” because they did it.
    • ICE shootings without video evidence could plausibly be self-defense.
    • Etc.

    Plus, they’re (mostly) not American citizens, so ICE could have a legal reason to detain them “with force” for “resisting arrest” (or whatever they want to spin).




  • “Using the name” would be a trademark violation, not copyright, and that’s not a claim I’ve heard made. It sounds like he’s very clear that it’s his project.

    This is exactly DMCA trolling. If he is not using or sharing any IP (game assets, logos, images, characters, code, etc.) in his mods, then he’s not violating their copyright. Making a program that interacts with their IP is not a copyright violation, because he did not distribute any of their IP.

    Unless I’m missing something. I haven’t been following this, but it does seem like a perfect example of DMCA abuse.

    Even if he’s sharing video footage of the mod working with their game, that’s likely protected. (I think it’s called “Fair Use” in the US?) Nintendo is a massive DMCA troll about that, claiming anyone sharing Let’s Play footage of their games is copyright violation, and throwing out DMCAs like Halloween candy.

    Which is why the DMCA is bad legislation; there are no penalties for abuse by copyright holders, and the cost to fight a DMCA takedown notice in the courts is prohibitive. There need to be harsh penalties for companies abusing the system to target content that a reasonable person would say is clearly protected use. Without that, the end result of the DMCA laws were clear, right from the start.

    We need digital sovereignty so creators can host their content on local-law abiding servers that ignore America’s corrupt, bullshit DMCA takedown system, and whose monetization can’t be shut down by American payment processors.




  • I’d be very, very nervous about using AI for a project that big.

    One of the biggest issues with AI, when it “works”, is that it’s incredibly hard to catch its errors. We have layers of cognitive biases around content that appears “written well” is most likely authoritative.

    That means LLMs sound very authoritative, since correct structure is something LLMs are very good at. LLMs can write text that uses advanced vocabulary and complex sentence structure correctly. Similarly, it can write well laid out code with detailed comments and include an explanation for how and why the code works.

    It all looks really convincing. It takes significant attention and effort to critically analyze LLM output to notice the errors it makes, and it’s very easy to forget that the LLM is categorically incapable of understanding your prompt or its output—LLMs don’t understand anything! They’re just advanced word (token) prediction machines.

    So, on a project the scale of refactoring the entire Windows codebase, with pressures to do the work quickly, the results are very predictable. They are going to introduce a lot of errors. And end up with incompatible spaghetti code that’s incredibly inefficient.

    (Somewhat technical example: Anyone who’s studied algorithms/computer science knows how easy it is to write functional code that scale terribly because of missing a small logical step that makes one factor of code operate in linear time instead of logarithmic time. Multiply that by a few other factors in the same function and your code balloons from n or log(n) time to n² or even n³ time.)

    We’re witnessing the beginning of the end of Microsoft as an OS company.




  • I’ve been using CachyOS for a few months now and it’s mostly been great, and so so much better than Windows.

    I should probably just try to run .exe installers more. That might solve some of the challenges I’ve had with the transition, particularly since getting devices working correctly in my Windows virtual machine while still keeping full functionality in Linux has been challenging (webcam, sound, microphone, mouse4/5 and dpi buttons).

    Docker has solved my biggest other challenges, for apps that have a Docker image anyway. They just work.



  • I’m almost exactly in the same boat, except even at my desk I want wireless. I often turn my camera off and get up to make coffee or go pee in big meetings. It’s great. Even when I’m presenting things, it’s usually only at a specific time, and I can still talk when I’m away from my desk (flip-to-mute microphones are great.)

    I have several sets of wired headphones I used to love. I’d buy several sets at once so I already had a replacement when they inevitably broke But I literally can’t remember the last time I used a pair of wired headphones. I only miss 3.5mm on my phone for plugging into my car’s aux port.


  • OpenAI has a snowball’s chance in hell of surviving. LLMs cost a lot of compute. They’re burning through cash. Operating costs are more than double revenue. Their net operational losses are about $1 million USD every 40 minutes.

    And somehow they’re trying to put half a trillion USD into building more datacentres to make even more advanced models, which will be even more compute intensive.

    Meanwhile, as venture capital has been committed to a whole series of AI companies and data centres, venture capital is dying up. Nobody has gotten a payout yet, since there’s no path to profitability for any of these companies.

    And it’s coming to a head this fall, when OpenAI needs to pay their suppliers for the expansion they’re building, and there’s no reason to believe they’ll be able to raise enough more investment to cover their costs.

    It doesn’t even take OpenAI failing, either. There’s so much debt (“leverage”) and circular cashflow going on in this space, between the AI companies, data centres, computer hardware manufacturers, and construction companies, that any one of them failing could cause cascading failures, like dominoes. Worse than the '08 financial crash, most likely.

    So no. It’s not going to be like YouTube. YouTube is cheap to run, compared to LLMs.

    And the worst part of it all: LLMs aren’t even very good! It creates an illusion of productivity, but it’s all bullshit, either doing a shitty job, or taking more time to prompt fondle than it would have taken to do the job by hand, or building up tech debt that’s going to make massive projects unmaintainable.

    It has some use cases, sure. I use it almost daily, tbh. But only because someone else is footing the bill. It doesn’t produce nearly enough value to justify its costs.