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Cake day: April 3rd, 2026

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  • I am in software and I don’t think it’s that clear cut tbh. There’s definitely a right and wrong way to use AI. I think a lot of companies are moving fast and breaking things right now, but a lot of them are going to find out that the thing they broke is the product and they won’t be able to slop their way out of a problem they slopped their way into.

    At a micro scale, AI is pretty good at writing workable code quickly. This obviously boosts productivity at the individual level, especially in the short term. At a macro scale, good maintainable software requires higher order thinking that transformer based models simply cannot do. So a lot of the stochastic micro decisions an AI makes lead to technical debt that is not trivial to remove, and can’t really be resolved by the AI itself, at least not in a way that won’t contribute to the problem.

    These issues can be curbed by the programer at the point of origin, before it gets out of hand, but obviously that requires more judicious use which cuts into the productivity gains. Because writing code has never been the hard part of software.

    TL;DR: fully embracing the slop machine will eventually poison your product in a way that is not really easily recoverable. It is useful, but not “too good to not use.”




  • The hardware requirements are substantial. If companies or individuals want to run models locally, especially at the speed you’d expect from the big name models, then everyone needs a pretty serious GPU on their work station. That or the company needs to build and maintain a server capable of running whatever loads they expect to see.

    None of this is impossible of course. But you pay for the tokens one way or another. Either you pay the upfront cost of the hardware and continuing cost of the electricity to run it, or you pay with the inconvenience of running a model very slowly on lower end hardware, or you pay a subscription for someone else to worry about all that.

    This is why local models are still niche. Only hobbyists nerds are willing to go through the trouble of setting up and running a local model. Most companies still are not sure if AI is actually worth it for them. So it’s much easier to pay for tokens than the giant upfront cost required to build you own infrastructure.

    If the numbers the AI companies are putting up as far as infrastructure cost vs revenue are anything to go by, it probably isn’t worth it to most companies.




  • This reminds me of a reddit post from a while ago. Dude is going to a university in the US. He’s randomly contacted by campus police to let him know that a student has taken out a restraining order on him. He’s a graduate student, and the student who took out the restraining order is from one of his classes that’s typically for undergrads. Other than sharing that class, he doesn’t know the student. Never even spoken to them. He’s on a student visa, if he’s expelled, he’ll likely be deported. He’s not allowed to speak to the student and campus police won’t even tell him why the restraining order is in place.

    After doing some investigation on his own, he finds out the student is dating one of his roommates, who he also doesn’t know very well. The roommate is stalking the student, and another roommate is helping the stalker.

    The student who took out the restraining order had seen him with the stalker at some point and, because the class they share is typically for undergrads, assumed he only took the class to keep an eye on the student for the stalker.

    He was able to go to his graduate advisor about it and luckily it all got cleared up, the student withdrew the restraining order. But his whole academic career was nearly derailed because a random person was able to take out a restraining order on him with zero direct evidence, and there was no established means by which he could defend himself.



  • I’m in my early 30’s and I remember the opposition to gay marriage when I was a kid in the 2000’s, it was strong and very visible. This was in a Southern California beach town, not exactly a bastion of conservatism. Hell, Obama was opposed to gay marriage when he first ran for president. Things changed very quickly as we entered the 2010’s.



  • I don’t think the person you’re responding to is making any claims about AGI. But the fact is, the models are far, far more capable then they were even 3 years ago. I think that has more to do with the harnesses we have now that it does with the models. The models are a bit better (and way bigger) but the harness is where the capability comes from. Software dev has changed significantly in most places because the fact is, this shit is useful for those tasks. People, appropriately or not, are trying to apply that to every office job basically.

    I don’t think that’s gonna pan out for anthropic or open AI financially, especially in the long term. But there has been a lot of progress in capability in the last 2-3 years. I think they’re right that if the timing works out badly, many employers could overcommit to AI and then collapse before they can correct once the bubble pops.



  • I think it’s kind of ablist to assume a disabled person has nothing of value to offer, like if they can’t move a couch then they are excluded. “Moving a couch” could be anything, it could be filing taxes or cooking a meal. Disabled people are good at stuff too. I think it’s really weird for you to make this assumption.


  • I’m running a 4070 super on my setup with cachyos with zero issues. I never had to do any special setup or anything. I think when I first installed, I was running off the displayport on my motherboard to be safe, but if I remember correctly, the OS detected my Nvidia card and installed the driver automatically. (That or I selected that I wanted Nvidia drivers during the install, I can’t remember which.) Switched the cable over to the card, no issues since.

    Everyone complains about Nvidia support on Linux but it’s come a long long way the last few years and it’s honestly just as easy or easier than windows now.


  • Again, 450 MILLION guns. You can ban them all today, even if everyone agreed, we would be pulling guns out of cellers and closets for the next 100 years. “Ban them all” is not a thing you can just do. That would require a constitutional amendment, one that basically one supports, so good luck with that.

    “Anywhere a kid might go” is literally every public place. Concealed carry is not outright banned in any state. I support pretty heavy requirements for concealed carry, but even an outright ban would not prevent this. Even so, most states have very loose requirements (or none at all) and there’s basically no political will to change that.

    Teach the kids about guns. This isn’t even a political position, this is a very straightforward policy to mitigate risks that presently exist and are not going away any time soon.


  • Kids don’t spend 100% of their time at home. They go out in public, they go to friend’s houses, they go to parties. They will, 100% of the time, find themselves in situations where irresponsible people are making decisions. Your job as a parent is to equip your children to navigate an unsafe world.

    In some places, that means knowing what to do if you stumble upon a black bear on a trail. In other places, it means knowing what to do if you find a little baggy of white powder on the ground. In the United States, it means your kid should know what to do if they find a handgun in a bathroom at a truck stop while out on a field trip. That is not a situation a parent can prevent unless they are constantly hovering over their child. It’s never likely but it can happen to anyone.

    What would be irresponsible is not teaching your kid these skills so that they have to figure it out on their own, especially when they don’t understand the seriousness of the situation.