gay blue dog
from what i see, white people simply clamor for a context in which they’re “allowed” to finally call someone the n-word, and are willing to accept substitute targets for their racism
add in a protective cloak of “it’s ironic and a joke and YOU’RE the real racist for pointing this out” and you get a whole lot of people who are extremely okay slinging around barely modified racial slurs
dictionaries are obsolete bricks remembers that they are useful that’s why they’re actually ai when you think about it
replacing ChatGPT with a script that replies “Great, I’ll finish that for you by ${Date.Now() + 86400}”
stolen from cohost but i appreciate the succinctness of “capitalism make computer bad”
and so i pass on the burden, like a virus, to all those who seek truth but must instead whip out their phone to scan a QR code and then get welcome-pinged 18 times in #general
50% success rate? sorry, all this for a coin flip?
i needed this giggle, gods bless our dubbers
you have to scroll through the person’s comments to find it, but it does look they did author the body of the text and uploaded it as a docx into ChatGPT. so points for actually creating something unlike the AI bros
it looks like they tried to use ChatGPT to improve narration. to what degree the token smusher has decided to rewrite their work in the smooth, recycled plastic feel we’ve all come to know and despise remains unknown
they did say they are trying to get it to generate illustrations for all 700 pages, and moreover appear[ed] to believe it can “work in the background” on individual chapters with no prompting. they do seem to have been educated on the folly of expecting this to work, but as blakestacey’s other reply pointed out, they appear to now be just manually prompting one page at a time. godspeed
oh 100%. on the flipside of that, the advantage is that usually it’s relatively easy to flip basic constructions into sneers. the combination of getting their arguments picked apart while being mocked usually causes the monocle to fall off the seal reeeal quick.
maybe there should be some kind of scoring system. perhaps a golf-like. par for three comments before they complain about your tone (sneering in a sneer club, my gods!), four for getting themselves banned. a bonus sticker in the shape of a star if “ad hominem” is typed verbatim
it’s a good thing charities don’t distribute resources within societies or communal frameworks!
dear gods how does one type that with a straight face and not pass out from sheer intellectual exertion
the fundamental issue seems to be that he’s an idealist utilitarian who opposes racism and animal suffering in the wrong way
don’t worry, he’s just a misunderstood good guy
“AI is just like smartphones” yes thank you for this statement that we definitely haven’t heard dozens of times before
ah, yes, i’m certain the reason the slop generator is generating slop is because we haven’t gone to eggplant emoji dot indian ocean and downloaded Mistral-Deepseek-MMAcevedo_13.5B_Refined_final2_(copy). i’m certain this model, unlike literally every past model in the past several years, will definitely overcome the basic and obvious structural flaws in trying to build a knowledge engine on top of a stochastic text prediction algorithm
no worries – i am in the unfortunate position of very often needing to assume the worst in others and maybe my reading of you was harsher than it should have been, and for that i am sorry. but…
“generative AI” is a bit of a marketing buzzword. the specific technology in play here is LLMs, and they should be forcefully kept out of every online system, especially ones people rely on for information.
LLMs are inherently unfit for every purpose. they might be “useful”, in the sense that a rock is useful for driving a nail through a board, but they are not tools in the same way hammers are. the only exception to this is when you need a lot of text in a hurry and don’t care about the quality or accuracy of the text – in other words, spams and scams. in those specific domains i can admit LLMs are the most applicable tool for the job.
so when ostensibly-smart people, but especially ones who are running public information systems, propose using LLMs for things they are unable to do, such as explain species identification procedures, it means either 1) they’ve been suckered into believing they’re capable of doing those things, or 2) they’re being paid to propose those things. sometimes it is a mix of both. either way, it very much indicates those people should not be trusted.
furthermore, the technology industry as a whole has already spent several billion dollars trying to push this technology onto and into every part of our daily lives. LLM-infested slop has made its way onto every online platform, and more often than not, with direct backing from those platforms. and the technology industry is openly hostile to the idea of “consent”, actively trying to undermine it at every turn. it’s even made it all the way through to the statement attempting to reassure on that forum post about the mystery demo LLMs – note the use of the phrase “making it opt-out”. why not “opt-in”? why not “with consent”?
it’s no wonder that people are leaving – the writing is more or less on the wall.
“emotional”
let me just slip the shades on real quick
“womanly”
checks out
don’t post slop, nobody wants to read any of that
this one is a joke, i think. he is definitely on the fashy bullshit though
and people get very defensive about this one too. like i’m pretty confident that coolboy004 on reddit is not giving a nuanced delivery on the ethics of a company running an ai-powered call center when he types “screws will not replace us” in all caps on /r/fuckai, and yet
i think it sucks that we’re stuck with, say, bluesky engineers genuinely trying to pull the most moronic variant of “but what if the stochastic text generator might have feelings in the future too”, but we still need to be able to talk about why people feel the need to make “clanka with the hard r” jokes (answer it’s racism)