I would have to learn entire coding languages to do it myself, which takes years. AI can do it in 30 minutes and better than I could in years

this is an overstatement. once you learn the basics of one programming language (which does not take a full year), you can apply the knowledge to other programming languages, many of which are almost identical to one another.

There is of course the environmental cost. To that I want to say that everything has an environmental cost. I don’t necessarily deny AI is a water-hog, just that the way we go about it in capitalism, everything is contributing to climate change and droughts. Moreover to be honest I’ve never seen actual numbers and studies, everyone just says “generating this image emptied a whole bottle of water”. It’s just things people repeat idly like so many other things; and without facts, we cannot find truth.

according to a commonly-cited 2023 study:

training the GPT-3 language model in Microsoft’s state-of-the-art U.S. data centers can directly evaporate 700,000 liters of clean freshwater, but such information has been kept a secret

the global AI demand is projected to account for 4.2 – 6.6 billion cubic meters of water withdrawal in 2027, which is more than the total annual water withdrawal of 4 – 6 Denmark or half of the United Kingdom.

GPT-3 needs to “drink” (i.e., consume) a 500ml bottle of water for roughly 10 – 50 medium-length responses, depending on when and where it is deployed.

there’s also the energy costs:

according to google’s 2024 environmental report:

In 2023, our total GHG emissions were 14.3 million tCO2e, representing a 13% year-over-year increase and a 48% increase compared to our 2019 target base year. This result was primarily due to increases in data center energy consumption and supply chain emissions. As we further integrate AI into our products, reducing emissions may be challenging due to increasing energy demands from the greater intensity of AI compute, and the emissions associated with the expected increases in our technical infrastructure investment.

according to the mit technology review:

The carbon intensity of electricity used by data centers was 48% higher than the US average.

and

[by 2028] AI alone could consume as much electricity annually as 22% of all US households.

there’s also this article by the UN, but this comment is getting kinda long and the whole thing is relevant imo so it is left as an exercise to the reader

i have my own biases against ai, so i’m not gonna try to write a full response, but this is what stood out to me

@dessalines@lemmy.ml

just one more 8-year long aaron sorkin monologue bro trust me, then i’m off the stuff for good

well they sure as hell aren’t a bastion of profit

yeah that’s the situation as i understand it. obviously im not a lawyer and whatnot but the way i understand it apple would have been required to open source the entirety of macOS if they had included GPLv3 software. GPLv2 was also considered copyleft (in fact, the FSF, who is responsible for GPL, coined the term), but GPLv3 added more stipulations in response to practices by corporations (most notably TiVO) that were not appreciated by the free software community

i haven’t gotten much sleep and it’s really early so apologies if i misunderstood the question. very broadly, there’s two kinds of open source licenses: copyleft and permissive. generally, permissive licenses like MIT allow any usage of the code, including by copyrighting your own contributions or including it in copyrighted works. copyleft licenses require additions to the code to be open sourced too. this was a problem for apple when GNU code updated from GPLv2 to v3, which iirc added the restriction that any package that included licensed programs also had to be copyleft. this was a problem because apple had packaged a lot of GPL programs with macOS, so now they haven’t been updated since 2007

damn. when i read the title i thought it was gonna be about the FSF’s own weird libertarianism

JDPON Don is heightening the contradictions between the American Empire and the Global South in order to bring a swift end to the number one exporter of global capitalism. Critical support to Comrade Trump!

or maybe something else will grab the media’s attention and everyone will forget it ever happened. who the hell knows.

epstein might be an exception. trump’s made it so big these past few weeks it’s hard to see how everyone gets off scot-free. best he can hope for is a sacrificial clinton

i can envision a future where you comes out to bring someone their food and talk for a little, sort of like how they do it in europe. obviously bringing some asshole their slop and then fucking off probably doesn’t appeal to too many people.

hey girl, you can Sleep if you are Tired!

i could be convinced that rhetoric like “social order” is inherently fashy but ultimately it seems like it mostly depends on the broader social context, doesn’t it? i couldn’t tell you a thing about china but it seems like the meaning behind the words probably isn’t the same

if a western country were to ban onlyfans it would almost certainly be in the broader context of the continued rightward political shift. in a vacuum, i don’t necessarily think getting rid of onlyfans is a bad thing.

all historical personages appear, so to speak, twice. you are engels and you have found your marx. mazel tov!

this doesn’t even make any sense lmao bernie madoff was punished for something he did to other capitalists. even if we were to assume they are ontologically evil, as in the liberal tradition, bernie madoff wasn’t going after poor people’s money like elon musk or peter thiel or whoever it was with paypal