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Joined 3 years ago
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Cake day: July 2nd, 2023

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  • lmao apple as the paragon of pro-consumer behaviour is one hell of an idea.

    the main reason their os isn’t full of ai is because they’re mad they didn’t invent it. they insisted the longest to call it machine learning instead, and when they switched over they called it “apple intelligence”. but they aren’t avoiding it, they just suck at it, and they always want to call everything by another name and present it a different way so it’s special and “magical” when it’s on their devices.

    but behind all that cultish nonsense they have had ai features for ages, often randomly pushed, and they too have reoriented their cpu architecture to include ai processing and run llms. they just have a mainly hardware business instead of a mainly software one, so they tend to emphasise device-dependent local systems instead of cloud apps that work on any device.

    and that’s on top of locking down everything, because they want to mediate computers to you. imo that’s the big issue with apple, they don’t want to give you any access to your own tech, because technology is magic and you’re not a wizard, they are. that’s not specifically ai-related though, but it does inform their handling of ai too, and it’s the main reason apple should have been on your list of companies not to buy from way before chatgpt blew up.




  • imo the distinction is between the workers of that particular organisation vs the public as a whole. there’s still value in the people actually close to the work making the decisions (a lot of the failures of the soviet system can be attributed to party officials overruling experts) but it should be counterbalanced by the public looking out for each other, so that no single org or collection of orgs stand above the rest of society.


  • actually, i do hate capitalism with all its complexity too. imo the market is a useful tool when kept in check by having to compete with planned, government-subsidised alternatives, but private ownership of capital is what generates 99% of the problems with it. either the workers should own the capital or the public should. the best option is probably somewhere between the two.



  • lmao

    y’know, i used to think that we would get android girlfriends because jensen huang is 62 and you know he wants to bang a robot while he still can. i didn’t expect that the way this would lose its relevance is through him losing his position as ceo, but it’s indeed a very jensen way for him to do it

    although now that he’s not saddled with managing nvidia, he can go and focus on it. like he’s still a billionaire


  • honestly, the crazy part to me was the amount of both parties suck propaganda. like yes, they do, but voting for the one that sucks less is still mathematically the best choice. but i think a lot of republican-aligned “centrists” who couldn’t bring themselves to vote for this mess were terrified that the dems would come out to vote and tried to stop that.







  • tbh i have a theory that the ai bubble itself is what’s holding us up. the llm angle has been explored deeply and optimised to ridiculous levels. what we got out of it is an incredibly powerful tool, but it’s not agi yet. it does have the ability to absorb a lot of skills though, both with deliberate training and with incidental exposure during training, so teaching it new tricks is probably going to be a thing all the way until we reach agi, but imo we’re not getting to agi just by building larger llms.

    but the problem is, that’s literally the only thing that’s happening today at any reasonable scale. llms have become the same kind of safe investment slop that reboots and sequels are in media, sure it’s guaranteed to be mediocre (in this case, by being expensive to run and having relatively little advantage over existing stuff) but at least there’s very little chance they will fail outright. real r&d, on the other hand, is inherently risky, but it’s how real progress gets made.

    after the crash, hardware will be (relatively) cheap and plentiful, both to own and to rent online, and we’ll see investment sour on llms. that will finally open the door for moving past them and finding the next thing. and if agi will ever be made, that’s how it will be made, not by training ever larger llms just to distil them back to the same scale as before with minor tweaks to how attention works. which is pretty much what has been happening in the past 2-3 years.


  • personally i do consider it a slur and avoid it accordingly, but i think the difference with this one is that colloquial usage took it over entirely. i’m fairly sure the average person does not think of down syndrome when they hear that slur, they just think of a particularly stupid person. which is also how the words “idiot” and “dumb” stopped being slurs over time, even though those also used to refer to medical conditions.

    this might differ between cultural backgrounds, i suspect that’s why it was categorised as a slur in contemporary internet culture. but it’s pretty hard to find another slur that doesn’t unambiguously, inseparably refer to a particular group it degrades. with the r-slur, some people do appear to separate it, i think that’s why they insist it’s okay to use.


  • honestly, i think it’s an overarching issue with the education system. ai is not the cause, it’s the symptom, people had a million ways of dodging tasks before it too. it’s just easier now than it’s ever been.

    if you know anything about indie game design, you know that learning is fun. as in, not that learning is a fun activity, but that learning is literally what fun is. you just need an environment that’s actually conducive to that, and it will be extremely gripping, because you will have created a flow state generator.

    but it turns out that doing that, while also ensuring what you’re learning is at all useful (as opposed to, y’know, how to pop heads in counter-strike or something) is difficult enough that most teachers just gave up and decided that learning must suck. which is a problem for many reasons, but i think the biggest one is that if it’s not fun, you’re not actually learning: if it’s boring, it’s because you already know how to do it, and doing it more doesn’t make you do it better, and if it’s frustrating, it’s because you keep failing and all that failing doesn’t teach any skills. practice is important, sure, but good practice lies halfway between these ends, and it’s fun. but a lot of people don’t get there, and they’re told it doesn’t matter if you get there, what matters is if you get through.

    i think that’s why all these courses are getting skipped by ai. because a staggering amount of people in education programs, in any kind pretty much, aren’t there to really learn, they are there to get through, by any means. because the whole social contract is that this is a thing that sucks, but if you get through it, you get a piece of paper and that paper will give you a nice life. it’s a nice thought, it’s understandable, human brains are wired to understand tradeoffs intuitively. but it skips the bloody point of why we do all this in the first place.

    and yeah, i get why you’re frustrated that uni students don’t know this. but honestly, how would they? no one told them the world they were raised in since the age of 6 is a lie.