he should have carved a hammer and sickle into the table

and they'll still somehow be losing money on every customer

i gotta disagree. kids need their unsupervised play time or else they grow up to be depressed pieces of shit like me. source

that's how you get committed

it's insufferable sometimes how easy it is to scare the shit out of these professional-managerial types. i might do that just to mess with them

seems like it was unintentional probably. elon's gonna freak

https://github.com/xai-org/grok-prompts/commit/e517db8b4b2539ea825bc4038917740e35bcaeba

no i mean is the ceo of alibaba referring to llms

when you use the wrong formula and get the right answer

yeah, i guess it's fair to do vibe coding or whatever. idk, when it comes to existing codebases i hate the thought of having ai contributions mixed in with real contributions. but i guess realistically, if there are no developers anyway, and if the model is running locally, none of my hangups apply

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