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Joined 4 months ago
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Cake day: March 5th, 2026

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  • since when did communists care about art theft lmao?

    My understanding of the “ai art is theft” take in this context is like this. Making art is a form of labor, where one’s artwork is the output of one’s labor. Models trained on a particular artist’s style can emulate the style of that artwork. Companies who build models trained this way profit off of that style emulation without compensating the artist. Their (unique) art (style) has thus been stolen, for another’s profit.

    I’m not trying to weigh in one way or another on the debate; just sharing how I understand what other people mean when they say ai art is theft. Perhaps I’m wrong in my understanding.



  • I agree with your points and perspective, but I also fell like “Simulated Cognition” is a bit too generous. I don’t think an LLM/what we currently have as generative “AI” is a simulation of cognition, though I acknowledge/concur that is the intent. Perhaps I’m splitting hairs too finely, but I see it instead as a statistical approximation of language processing.

    I mean, I guess one could just say, “yeah, they’re a statistical approximation of language processing with the intent of simulating cognition”, and I’d have to acquiesce. So I guess my hang up hinges on how one interprets the word “simulated,” because I think its connotation tends to be more weighty than its literal definition. For example, if we said “Mock Cognition,” that’s more obviously fake cognition (to me, anyway). Whereas a mathematical simulation of something, for instance the flight trajectory of a satellite or rocket, is not the real thing, but is more or less expected to exactly model the real thing (at least in my selected example). And it makes me uncomfortable to apply that perception to the “Simulated Cognition” of our models that approximate language processing.


  • First and foremost, I think it is egregiously misnamed. It is neither artificial nor intelligent; it is just math. There was a time when “knowledge based systems” was a popular moniker (albeit for a different approach) and I find it to be much more apt for the systems we call (generative) AI. If we’re going to repurpose a term, I think that one is more suitable. “Large language model” is good for its accuracy, but is also less evocative and descriptive, especially for the normies. Either way, it’s wild to me that we’re like “yeah AI is here now.” It’s frustrating to me because of how it impacts the way we interpret and use these systems.

    Secondly, I think the way that Statesian companies are building these systems is exactly wrong, but I don’t suppose that should really be a surprise to anyone. The throwing-peas-at-the-wall and throwing-money-and-resources-at-it approach has netted results, sure, but wouldn’t it be neat if everyone was working together to more deliberately collate the entirety of human knowledge and create accessible tools for all to leverage? You know, instead of letting private companies extract the fruits of our labor, throw it into their equation, and then sell it back to us, over and over again? Anyway.

    Outside of that, I think Cowbee’s succinct take reflects my view as well.

    Ultimately, it is a tool. It’s impressive that hardware has developed to the point where we can throw so much language at these systems to get useful results. It is also true that these systems are both over- and underestimated. I think it’s also true that the current economic approach is intractable, and I look forward to the day when we more broadly understand how to build and use these tools more effectively.




  • I’d say your reading is pretty much correct. I don’t know how much SSD variance would really impact things, but the extent to which it does would have to do with however the neural network was trained. The more robustly that model is able to discern what is and is not running based on the SSD analyses, the more plausible and reliable this attack is. I think that’s where the bulk of the “techno-babble” aspect comes into play.

    The reported attack is really messed up from a privacy perspective, but I also think it’s not EXTREMELY viable in reality, due to the mentioned constraints (in particular the large file size requirement). There are two aspects here: 1. a web browser can snoop SSD behavior (❗), 2. if you run that data through an appropriately trained model, perhaps the sky’s the limit (☹️).

    The wackest part is that a web browser can analyze SSD behavior. That’s just messed up. The fact that nerds were then like “yo, let’s train an ML model on this to tell what the user is doing on their computer” is also nuts, of course, but obviously that threat is mitigated presuming nefarious actors aren’t given carte blanche access to one’s hard drive behavior in the first place. It also seems plausible that you could maybe break such a model by running a program specifically designed to disguise SSD usage, not to mention other isolation approaches already referenced in the article.

    But so yeah, being able to snoop on SSD activity is insane. Training a model on that activity is where it gets more techno-babbley, but they also showed it can at least be done on an M2. There’s no reason to think it couldn’t similarly be done for other systems, OSes, applications, and configurations, but of course the wider they cast that net, the trickier it likely is to viably train the model(s).



  • To add to this, I think there are some assumptions in this reasoning that are worth addressing.

    so then americans as a whole seem to have power in maintaining this system, from protecting it via participating in the military, working in jobs that manage this imperial system (e.g. finance, defense, etc.), selecting the american candidates that pursue their favorite imperialist policies (i.e the policies that give them a larger share of the super profits)

    This is essentially how the system functions, but it presupposes more agency on behalf of the Statsian workers than exists in practicable reality.



  • I think you’re doing your perspective a disservice by railing against what is effectively a strawman in this case, at least per my reading. In general, it’s entirely valid to highlight discrepancies between opinions about troops and opinions about cops, but ascribing that discrepancy to OP for this thread seems disingenuous. One can make the point you want to make without misrepresenting what OP actually said and is saying.

    I haven’t seen anyone dispute ACAB, nor by extension all troops. The question seems to be whether all bastards are beyond redemption.


  • Just so I understand properly, you are being barred from attending class until you agree to no longer walkout of class in support of your principles? 🤔

    Anyway, my (very limited) understanding of First Amendment protections for high school students is that they exist, but are not as strong as for college students or adults generally. The relevant landmark decision is from Tinker vs Des Moines, which basically says the administration can indeed infringe on students’ First Amendment rights if the exercise of those rights results in a “substantial disruption.” I imagine how difficult or easy it is for the administration to argue that a planned walkout results in a “substantial disruption” varies regionally, but is probably easier now in the current environment than it ever has been historically. That said, the case also did assert that “silent” protests like the wearing of armbands is not a “substantial disruption,” so perhaps there are still things you can pursue without fear of persecution.

    Either way, I would like to echo the sentiments of respect and admiration for you and all you have done already, sympathy for what you have and had to endure, and hope for you now and in the future.