cross-posted from: https://lemmy.ml/post/20289663
A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.
The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.
Between AI and shitcoin mining, these two “technology branches” already consume more power than all the green power added to the grid combined.
It’s why humans will always remain de facto slaves to a few masters. Anything that could potentially be advantageous to all life on Earth? Only if the ones at the top get to profit first. No profit? Enjoy scorching to death on hell-planet for the next forty years!
Between AI and shitcoin mining, these two “technology branches” already consume more power than all the green power added to the grid combined.
And your sources? I only did a cursory search, and according to the IEA data centers are responsible for somewhere in the range of 2-6% of electricity demand. Renewables are currently around 30% globally.
I feel like some people are just emotional reactionaries. They see a certain story, and in their own mind they make the story worse than it is, and treat their feelings as fact.
I have no sources on this, or proof that this guy in particular is doing that.
…wait, am I doing it right now???
Hmmmmm…
Maybe they got confused about total power usage (maybe) being more than the green power added?
Between AI and shitcoin mining, these two “technology branches” already consume more power than all the green power added to the grid combined.
I think you would be shocked if you learned what some other things in our world cost in CO2.
The energy costs of cryptocurrency mining are easy to calculate because the system is extremely transparent. AI is a little muddier, but we know how much big tech is expanding data centers, and we know how many enterprise GPUs Nvidia sells, so we get a decent estimate.
But these things don’t actually do as much damage as compared to other things. Imagine how much energy is used for Gaming PCs and consoles. It’s probably up there with Crypto and AI if you consider all running consoles and PCs, plus all the multiplayer infrastructure. But we don’t have numbers because this is hard to calculate.
And then there’s stuff like personal automobiles, that completely blow these other things out-of-the-water.
Or compare to the CO2 put out by global concrete construction. It’s more than some might believe.
Yes but concrete is required. It is literally the foundation of modern civilization. It is the second most used substance on the planet after water. Without it we would have to do away with things like roads, power plants (green and carbon emitting), housing, water treatment and waste treatment plants, erosion control and seawalls, and most production facilities for all of our day to day goods and essentials.
The industry is making steps to reduce its up front carbon cost and inrease captured carbon in the concrete, but it is slow moving as big changes can cause major problems with infrastructure. Noone wants their hospital falling down because they used a new mix design that hasn’t been thoroughly tested and tried.
We dont work without concrete, but i’m pretty sure we do work without bitcoin.
If your just looking at fun carbon emitting facts though, then aluminum smelting is another huge number like 4% globally. Concrete is like 7% globally, and HVAC is like 12%.
Quit the whataboutism. While the construction industry is in dire need of improvements, it’s at least causing GHG emissions to achieve a useful goal, unlike ShitGPT which repeatedly fails to prove its value when opposed to its environmental costs.
AI consumes power, yes, it’s projected to triple its environmental impact, yes, but its environmental impact is much less than most other things. If anything, the AI hate train draws angry peoples’ focus off the big polluters that matter.
“Arrghle AI is in everything and modern cars track you, I’ll just drive a 30+ year old pickup truck because they don’t has no AI tracking nonsense”
Oil and gas companies: money
I dont think much will remain after this extinction event. Do you know how long it takes niches to refill in an ecosystem? We’re going to get to a point where industry collapses and we are reset if we survive at all.
We wouldn’t even be able to restart. All the easily available resources have been delved. Three thousand years ago people could scoop pure gold from rivers by the kilos. Today, all decent deposits lie kilometers below the surface.
But it’ll be for the best. We had our shot and blew it.
Resources like gold would be more accessible, y’know because it already been mined and made into things. If society collapses what few survivors there are could recycle shit like metals. The actual issue is fossil fuels. Getting to a point where you can use renewable power would be difficult with using fossil fuels for power first.
Pretty sure immortan joe is going to be wearing all that gold.
Maybe resources will be scarce enough that we are forced to try something other than capitalism, as we have to share to make it anywhere. Or maybe it will just make all resources needed for advanced technologies unavaible. Then we can fight over whose hut is closest to the last river.
AI and crypto would be fine if we didn’t have to put up with capitalism.
No, because the carbon footprint is ridiculously high.
Between AI and shitcoin mining
The difference is that the better shitcoins have been upgraded to be 99% more energy efficient.
But there’s no foreseeable limit or escape from the waste of “AI”.
Proof of Stake (PoS) is just dollar bonds without regulations. There’s no "difficulty adjustment" to minimize profits, so inequality will just get worse and worse.
Everyone thought AI was going to kill us via some Terminator-like Skynet.
Nope.
It’s just going to let us kill ourselves via greed and accelerate destroying the environment.
But it’s ok because it’s also going to solve climate change.
And even if it doesn’t, it’ll still make hundreds of trillions of dollars doing it, so it was worth it in the end.
Don’t worry, it’s all very green!
The cash and stock tickers that is.
The solution it will eventually come up with - kill all humans
Its the ‘first to market wins’ paradigm
I remember when scientists were more focused on making AI models smaller and more efficient, and research on generative models was focused on making GANs as robust as possible with very little compute and data.
Now that big companies and rich investors saw the potential for profit in AI the paradigm has shifted to “throw more compute at the wall until something sticks”, so it’s not surprising it’s affecting carbon emissions.
Besides that it’s also annoying that most of the time they keep their AIs behind closed doors, and even in the few cases where the weights are released publicly these models are so big that they aren’t usable for the vast majority of people, as sometimes even Kaggle can’t handle them.
Every IT company now: we should increase our server costs by 100x to offer unwanted gimmicks that users don’t want and aren’t willing to pay
And don’t trust
Look, i’m not saying that this isn’t a problem. My only question is, is this one of those “global warming is because people don’t recycle their soda bottles” things? In other words, How concerned should I be about this vs, taking attention away from the energy, beef, and transportation industry?
Very concerned. It’s currently a race who can speed run us to extinction first.
So you’re saying that we should be concerned with datacenters more than things like factory farming and oil & gas?
I don’t follow. I need a lot more evidence of harm before I become “very concerned” about datacenters specifically.
Don’t you dare say that eating meat is bad bro, someone will get very upset and point their finger at AI
You’re not even making sense anymore 🤣
I don’t think this is something to focus on. Tech being 40% of all emissions in the US is suspicious, given that in 2021, all industry was 30.1%, and all transportation was 28.5%. And the total emissions in the US was 6.3 billion tons. https://www.ers.usda.gov/data-products/chart-gallery/gallery/chart-detail/?chartId=108623
I don’t have more recent data (if it’s in the article, I didn’t see it at a skim) but I feel like oil, gas, and agriculture are the bigger long-term targets.
Looks like Techradar misunderstood parts of the source story. The projected emissions over the next 10 years is equal to 40% of all US emissions. The Register
That El Reg links breaks this report much better than some other reporting. It projects a tripling of carbon emissions from bit barns by 2030, with 40% of that increase being due to construction and materials fabrication and 60% from their operation.
It’s a percent against the world’s emissions. Be concerned less with this. AI is the current hate train whipping boy, and takes the pressure of public focus off the biggest polluters.
Which search engines give results without an AI generated response?
Startpage and DuckDuckGo, but you might want to disable summaries in the latter’s settings.
This is exactly what using AI feels like:
“The only way to interpret statistics is with a healthy dose of skepticism and a thorough understanding of their context.”
While people in this thread jump at the opportunity for this slice of statistics to affirm their confirmation biases, intelligent people will ask what the total carbon dioxide output looks like by comparison.
You’re quick to imply that this study is bullshit, yet offer no counter argument except “believing statistics is for losers lul”
So where are your sources to refute the article?
Ita also trivial to come to the same conclusion at a smaller scale.
You can run a LLM at home and see the amount of GPU & power resources it takes to compute the larger models. If I ran that full time, your household bill will most likely be 3x alone.
Never said the study was bullshit. I just said to look at the bigger picture.
I would show you how Google works and provide an article, but your reading comprehension leads me to believe you’d come up with another straw man fallacy to support your confirmation bias.
Oh fuck off already, nobody cares.
Do we have an iamverysmart community? We could use one.
Lol you cared enough to respond. Sorry you’re too stupid to hold a conversation.
Can’t be logical here. This is a topic that’s like discussing immigration with Republicans.
Lesson: only ask AI if you’re still stuck after searching and have no colleague around.
This is the “carbon footprint” fallacy created by big oil. We should vote left and unionize until either the external cost of pollution is internalized with pigouvian taxes, or electricity is rationed by a community-owned organization.
Nobody will notice us shooting ourselves in the foot and expecting corporations to do it too. They don’t care if we lead by example unilaterally.
Oh yea, this is happening too.
It’s a nice gimmick and sometimes fun but probably not worth it given the state of the planet already.
There exists an alternative that uses a lot less power. And also that power is going to get spent no matter what anyway.
and also that power is going to get spent no matter what anyway
Yeah but it leads to higher bills for consumers, and generators can get spun down, and it’s keeping fossil fuel plants open, etc.
The alternative I was talking about are called employee brains.
From construction of three data centers or everyday use. Weird wording this whole article.
Call me surprised.
If I run some AI model on my GPU and power my computer via solar power and some batteries, am I actually contributing significantly to GHG emissions?
Like what is the embodied energy of an AI model?
As usual, pundits and scientists confuse what is and what could be with the truth. For example plastic recycling isn’t possible because “right now economics don’t make it profitable”. Meaning capitalism is killing us, not plastics. I suspect the same is true for AI.
The model has to be trained, refined, etc. You running it off grid isn’t the entire process, but I agree with you in a different sense.
If not AI, then there would be some other kind of compute taking up server capacity. It’s on the data centers to solve this one, not AI.
yea but the models are already trained and noone pays to use the open source ones, so you’re not really contributing to the training greenhouse gas emissions if you use an open source gen ai model locally.
Training a model isn’t free. It takes money and compute. That’s also the greenhouse emissions. Even if you don’t pay for any model and run it locally using solar, you’ve still got to consider what came before.
