This is a most excellent place for technology news and articles.
Cornell researchers found that at the current rate of AI growth, the burgeoning industry could represent 24 to 44 million metric tons of carbon dioxide emissions by 2030
The United States emitted 4.9 billion tonnes of CO₂ in 2024.
So by 2030 the AI industry CO2 release might be 0.9% of total US emissions.
That 'almost' in "Almost Incomprehensible" is doing a lot of work there.
Listen, an AI waifu is worth the increased speed of destruction to the planet.
You: "How much will this speed up our doom?"
Your waifu: "Calculating… oh, it's actually less than 1%."
tears in your eyes the Old Yeller soundtrack starts playing
I've said it before and I'll say it again.
I love Lemmy math nerds and honestly appreciate how there's always at least one to put things in perspective for those of us who worked really fucking hard to get a C in college algebra. Cheers.
But...but...but... the RAGE! With a measured approach to topics like that, HOW AM I SUPPOSED TO FUEL THE RAGE!?!?!?!11
.9% from a single source is RIDICULOUS though
Ok how much is beef farming accountable for
Too much too.
But muh brisket...
I'm sure that my argument isn't bullet-proof, but raping animals, raising their babies based on the profit you can make out of processing their corpses and running an endless ad cycle and bribe system aimed at making people want to participate in and perpetrate this practice of cynical violence on sentient beings doesn't scale well.
PS: I'm not even a vegetarian, but the argument may be unpleasant in terms of form, not of content.
A huge amount too, 37.9%
But more than one thing can be bad a time, a novel idea, I know
And how many beef farms are there compared to data centers? A lot of a lot more.
If a tiny amount of physical space can do such a large amount of pollution, that's a worry, when the plan is to increase the amount of them.
Consider how rapidly they have been built, and the capitalists’ plans to make many many more. Now also consider the state of the planet’s ecology and the already terrible effects of climate change.
To me, it’s incomprehensible that regular people haven’t already revolted against the death spiral the capitalist class has put us on.
To me it seems the root of the problem is that humanity depends on fossil fuels for energy.
AI data centers are just one of many things contributing to CO~2~ emisions.
Lond tsory short, humanity needs to start getting it's energy from non CO~2~ emmiting sources (solar, wind, hydro, and nuclear).
Obviously the AI rollout should be slowed down and AI use regulated, like stopping any replacement of workers by AI.
But China is set to win the AI race with their open weight models on par with the current frontier models. And they are building nuclear power and solar and wind like no tomorrow. And they just started to produce sodium ion batteries to solve the grid storage problem.
Spurned by the embargo they are developing more efficient algorithms and "Extreme UV lithography" to catch up to the embargoed chips. The neoliberal model of the west is now falling behind even the high tech sectors.
In case anyone is curious it takes 8 Nvidia B300 cards to run this Kima K3 frontier model yourself (2.8 trillion parameters), costs about half a million. For a big corporation or institutions even in the global south that is relatively cheap and that is the top tier option for running a frontier model. Including complete data sovereignty. Using AMD will be cheaper, and prices will go down once China catches up in like 2030. And you could run that on solar panels and batteries and regenerative water cooling. 8x 1.4kW x24 so maybe 300 kWh LiFePo4 battery so another 50k. ~~To power one complete AI server you'd need about 134 m² in solar panels which are basically free these days.~~
For solar panels you'd need about 270 / 6 * 24 = ~1000kW. With about 175€/kWp panels that is another 175 thousand plus installation. And something like 4000m². Plus chargers, and large public pool to cool those 270kW. But that is all the energy costs for 30 years up front. The bigger constraint is the land use then.
So basically less than ~~10%~~ 50% extra costs upfront to make AI data centers sustainable. This is a capitalism problem, both the hype / bubble / psychosis (b2b marketing induced) as well as the sustainability question.
i think the layoffs/hiring kinda past the point of no return, i think they will be even more reluctant to hire back all these people and fresh graduates anytime soon. essential become like research/lab industry, barely hiring because they want already "trained" people upon graduation. people have posting on other sites, being unable to look for said job, and they do admit using Ai to generate/mass apply too.
The billions in funding for the AI corporations also went into B2B marketing, presentations for businesses and schools etc. A problem of neoliberalism / capitalism. The techbro half of AI psychosis is deliberately inflicted.
And the US / western economy collapsing isn't only related to AI though. When the bubble pops there would have been massive layoffs anyways. The techno barbarians behind Trump literally want to dismantle and destroy the US to create their own fiefdoms from the rubble: The Nerd Reich”: Author Gil Durán on Big Tech Fascism, Peter Thiel, JD Vance & the War on Democracy - Lemmy. So DOGE, the tarrifs, even Iran shutting down the oil supply is all desired by these people.
If we don't solve the cause of these symptoms we're not going to fix it.
Question is, how long are they going to keep making their new models open weight? GPT2 was open too, y'know. Hell, the company that made it is called "Open"AI. Money corrupts.
And how many concurrent users do you get with 8 B300s on the Kimi K3? I'm not 100% sure on the math, but apparently about <= 4 with full context size.
They can make these models open weight because basically nobody's gonna be able to run them and you can't just build a brand new model out of it like you can with regular open source software. That 8 nvidia B300 card minimum isn't enough to run it commercially, it's good for like a small 10-20 person company of fairly heavy users, or slightly more if not using heavily.
Billionaires trying to kill the rest of us faster.
Sometimes I wonder where we could be if all the AI money was spent on e.g. fusion energy research instead.
I guess we would be 30 years from stable scalable fusion reactions?
Who cares about fusion? There was a study in the late 90's stating that if only 10% of the capital put towards oil research, exploration, extraction, etc, annually, was put towards renewable energies it would catapult the research output by a factor of 30, by year.
We could have, by now, moved completely towards renewables for everyday life needs and start towards producing more energy we could ever need and put that excess towards greater achievements.
"AI is a tool stop being a luddite" mfs when being exposed to this reality
it's very well comprehensible if you're good with numbers.
and texas was going to add another 1800 datacenters, until they saw thier elections of the gop is jeopardy.
They will add them after the elections...
it will be hilarious when they try to power them up
to be fair, the scale of pretty much any global industry is incomprehensible to most people
It's true, I can not understand how all grocery stores constantly have fruit and vegetables available.
That always blows my mind, still. If you ever grew cherry tomatoes, you know how long it takes and how much it yields. Even the smalltest corner super market has cherry tomatoes, every day of the year. It's not even a necessity, it's just there.
If AI is so wonderful they could afford to put up solar panels to power the data centers.
I’ve never seen a data centre with a chimney stack. This must be an American thing.
It's the "temporary" power plants that are stood up to feed the massive power demands. These are usually gas turbines that are not environmentally friendly at all.
