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Joined 1 year ago
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Cake day: June 5th, 2023

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  • People developing local models generally have to know what they’re doing on some level, and I’d hope they understand what their model is and isn’t appropriate for by the time they have it up and running.

    Don’t get me wrong, I think LLMs can be useful in some scenarios, and can be a worthwhile jumping off point for someone who doesn’t know where to start. My concern is with the cultural issues and expectations/hype surrounding “AI”. With how the tech is marketed, it’s pretty clear that the end goal is for someone to use the product as a virtual assistant endpoint for as much information (and interaction) as it’s possible to shoehorn through.

    Addendum: local models can help with this issue, as they’re on one’s own hardware, but still need to be deployed and used with reasonable expectations: that it is a fallible aggregation tool, not to be taken as an authority in any way, shape, or form.


  • How about: Popularizing the idea of the wall in the first place, going mask-off calling illegal immigrants “murderers and rapists”, the “Muslim Ban” on air travel, moving the US embassy to Jerusalem, employing white nationalists as staffers, packing the supreme court with extreme conservative justices, giving permanent tax cuts to the rich, expanding the presence of immigrant concentration camps, cozying up to foreign dictators, stating he wanted generals like Adolf Hitler’s behind closed doors when his own generals refused to nuke North Korea and blame it on someone else, egging on a far-right insurrection attempt, directly pursuing strikes and assassination attempts against middle-Eastern military generals and diplomats, ending the Iran nuclear deal, calling climate change a Chinese hoax, calling Covid the “China virus”, spreading vaccine disinformation until one was developed before the end of his term, trying to start a trade war with China, discrediting his chief medical advisor on factual statements about Covid, saying Black Lives Matter protestors were “burning down cities”, wanting to designate Antifa as a terrorist organization, declaring “far left radical lunatics” part of his “enemy from within”, being an avowed friend of Epstein, sexually assaulting over a dozen women and underage girls, being a generally abusive sleazebag, also funding a genocide (Israel has always been ethnically displacing Palestinians), also building the wall, also not implementing healthcare reform (and being against what we have), also not protecting abortion rights (+ setting up the conditions that led to their erosion; see supreme court point above), and also denigrating anti-genocide protestors (but not as harshly since he wasn’t the one in charge when it happened).

    I guess he’s not a cop though, so there’s that.

    (minor edits made for grammar/spelling)


  • On the whole, maybe LLMs do make these subjects more accessible in a way that’s a net-positive, but there are a lot of monied interests that make positive, transparent design choices unlikely. The companies that create and tweak these generalized models want to make a return in the long run. Consequently, they have deliberately made their products speak in authoritative, neutral tones to make them seem more correct, unbiased and trustworthy to people.

    The problem is that LLMs ‘hallucinate’ details as an unavoidable consequence of their design. People can tell untruths as well, but if a person lies or misspeaks about a scientific study, they can be called out on it. An LLM cannot be held accountable in the same way, as it’s essentially a complex statistical prediction algorithm. Non-savvy users can easily be fed misinfo straight from the tap, and bad actors can easily generate correct-sounding misinformation to deliberately try and sway others.

    ChatGPT completely fabricating authors, titles, and even (fake) links to studies is a known problem. Far too often, unsuspecting users take its output at face value and believe it to be correct because it sounds correct. This is bad, and part of the issue is marketing these models as though they’re intelligent. They’re very good at generating plausible responses, but this should never be construed as them being good at generating correct ones.








  • Cyberpunk is considered a sub genre of sci-fi because a bunch of people got together and said that’s what it is. Doesn’t make it a 100% hard set rule. You just like putting things in boxes. A piece of creative work is what it contains, not whatever categories you shove it into.

    I accept that the intersubjective framework of literary genres exists, but have my disagreements with it. You can do that. It doesn’t make you wrong, just unpopular.



  • Science fiction usually carries with it a desire to rationalize and explain the technology it’s built upon, to try and paint a world plausible from a scientific standpoint. You see this a lot with the technobabble in Star Trek.

    Cyberpunk has a lot of overlap with science fiction, but usually dives more into the social commentary on society and capitalism, using the technology within as a vehicle to amplify those criticisms. Some cyberpunk works seek to explain their technology and make it seem grounded in the same way sci-fi does, but that is usually secondary to the social and political themes.



  • I know this might not be the most convenient solution, but learning to resolder mouse switches means you can just replace the faulty components (and maybe the sliders too) and just keep using the hardware that works for you. As long as you don’t have a mouse with that awful rubber that de-vulcanizes after about 3 years, and don’t mind the visual wear from your hand on the shell over time, you’ll easily 10x the life of most products manufactured with planned obsolescence. Logitech almost always cheaps out on the switches for their gaming mice, unfortunately. After replacing the switches on my g pro wireless when they started double-clicking after 2 years (almost exactly), it’s been smooth sailing ever since.

    ifixit almost always has comprehensive teardown and rebuild instructions for popular peripherals. Bonus points is that whenever you take apart something to do a repair, you can clean out all the hard to reach places that collect random dust and debris. Can be kind of gross but is also pretty satisfying. Additional bonus points for being more sustainable with your consumer habits and minimizing e-waste in landfills!

    If you’ve got a mechanical keyboard, you can do the same but it’s generally a lot more tedious since most have the switches soldered on, and LEDs double the amount of joints you have to deal with. I recently did just the WASD and a few other high-traffic keys on my board after one one of them failed, and it was a several hour process