maegul (he/they)

A little bit of neuroscience and a little bit of computing

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Joined 4 years ago
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Cake day: January 19th, 2023

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  • maegul (he/they)@lemmy.mltoScience Memes@mander.xyzNot a single one
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    7 days ago

    I feel like the deeper truth highlighted here is that being pro-nuclear, or anti-anti-nuclear, is very much a “reddit” style opinion.

    Whatever the actual truth is, that is. It seems to fall neatly into the “I know something and can make a ‘well actyooally’ argument about it” category without having expertise like being on top of the historical financial performance and context of the technology, about which I personally know nothing.


  • I’m pretty sure a major problem with AI is that people don’t know how to talk about the actual problem.

    It’s mega-corps replacing people while “stealing” their intellectual output. It’s a reshaping of the “social contract”. It’s those making bank quickly pushing the whole world in a direction that may just be a really bad idea (like we’re no longer in control of our own world/lives at all).

    It poses the question: is all tech progress good or is it sometimes “bad” such that we actually want to design our own fate and sometimes just be comfortable with what we have and what we are?

    Does this whole post-industrial revolution world need techno-hype to be happy? Or can we collectively just touch grass and settle a bit more.


  • At the risk of dogpiling on a well known thing …

    I distinctly remember when I first heard the theme, watching Enterprise for the first time, and I seriously thought it was either a joke or a blatant rip off of Trek.

    I really didn’t believe it was Star Trek by the same people who’d made 90s TNG era trek. It being a prequel was part of that (like how is Star Trek about looking backwards?!). But so obviously US hokey populism was just a major turn off … as a youngster then I “knew” that’s not what Trek was. And while I was somewhat wrong (US idealism is kinda what it’s about), I think I was right in the right way.






  • Oh I hear you (and appreciate the response).

    For me, I can’t help but think of another alternative, which I’m surprised I haven’t heard of yet …

    stripping down one’s personal technological cognitive load to a stack of systems that can fit into one’s brain (like the Python mantra), focusing on learning that stack well building sustainable and stable systems, and then just detoxing from the increasingly polluted digital information stream (protected commons, traditional formats such as books and in person engagement … dunno).

    Depends on what the end goal is, but AIs seem to be about using tech more or just opting out of sovereignty. Something like the above seems to me to be about using tech less (in the end) and pushing toward being a secondary tool rather than an end of its own.


  • Probably a shallow response …

    But I always figured AI/LLMs are basically apocalyptic for all sorts of individualistic values in computing (including privacy but also independence and diversity).

    Whether they’re good or useful etc, I just struggle to see how they will ever be justifiable against these sorts of values.

    Sure, local models and our hardware will get better … but better than the state of the art from the big labs and providers? Given that data and training are the big bottlenecks on quality … I struggle to see how AI isn’t a complete feudal capturing of information computing and processing. Not to mention what happens to the pipeline that produces information content if everyone is only consuming it through the models that train on it.

    So for me the big question is, what’s our call on a possible (likely even?) future where we are forever stuck using cloud provided AI along with all of its negatives, in the same way that basically all of us has been and still is stuck using MS windows, Google and the big-social-media hellscape?

    For me, I baulk at this.


  • Yea this vibes.

    For me, it felt like coding was a more attractive term for people who weren’t “proper” computer science and “engineering” types who weren’t confident that they knew what “program” meant or even “algorithm”, as they were working things as they went.

    I’d guess that as computing involved more and more people with this non-standard background, coding became preferred. I certainly encountered people uncomfortable with my casual use of “algorithm” because it triggered their imposter syndrome, and my pointing out that they write algorithms with the code the write all the time certainly didn’t help.