Despite its name, the infrastructure used by the “cloud” accounts for more global greenhouse emissions than commercial flights. In 2018, for instance, the 5bn YouTube hits for the viral song Despacito used the same amount of energy it would take to heat 40,000 US homes annually.
Large language models such as ChatGPT are some of the most energy-guzzling technologies of all. Research suggests, for instance, that about 700,000 litres of water could have been used to cool the machines that trained ChatGPT-3 at Microsoft’s data facilities.
Additionally, as these companies aim to reduce their reliance on fossil fuels, they may opt to base their datacentres in regions with cheaper electricity, such as the southern US, potentially exacerbating water consumption issues in drier parts of the world.
Furthermore, while minerals such as lithium and cobalt are most commonly associated with batteries in the motor sector, they are also crucial for the batteries used in datacentres. The extraction process often involves significant water usage and can lead to pollution, undermining water security. The extraction of these minerals are also often linked to human rights violations and poor labour standards. Trying to achieve one climate goal of limiting our dependence on fossil fuels can compromise another goal, of ensuring everyone has a safe and accessible water supply.
Moreover, when significant energy resources are allocated to tech-related endeavours, it can lead to energy shortages for essential needs such as residential power supply. Recent data from the UK shows that the country’s outdated electricity network is holding back affordable housing projects.
In other words, policy needs to be designed not to pick sectors or technologies as “winners”, but to pick the willing by providing support that is conditional on companies moving in the right direction. Making disclosure of environmental practices and impacts a condition for government support could ensure greater transparency and accountability.
Dunno about Microsoft and AWS but AFAIK Google has been powering all their data centers with “renewables” for a very long time.
I’m pretty sure many of these data centers have dedicated power sources due to the high consumption, and opt for things like hydroelectric due to cost per watt.
And at least there’s a serious end product delivered, unlike crypto mining which wastes trillions of hashes to make a secure transactional network.
The whole article is blaming t"the cloud" as if it didn’t serve services consumed by users. What do they want? To shut down the internet?
Energy transition is something these companies are working on.
https://sustainability.aboutamazon.com/climate-solutions/carbon-free-energy
Reaching these goals isn’t easy.
Yeah, cuz consumers really like getting useless ai results mixed in with their searches and shit. I don’t know how I lived before having clippy 2.0 added to fucking everything, including my desktop.
It’s entirely relevant to blame producers for creating and shoving this shit down our throats.
Quit being so dramatic. Nobody is forcing you to use those things. Lemmy in particular is full of people who talk in detail about how they’ve replaced products and services from companies like Google and Microsoft with alternatives they find more consumer-friendly. And I guarantee you major brands are gonna offer ways to turn off AI features, because turning them off saves a lot of money in data centers and improves battery life in consumer systems.
You know you can disable the AI overview from Google, right?
And the new material science discoceries etc should really help. Given that DeepMind used GNoME to find 2.2 million new crystals, including 380,000 stable materials. That’s kinda a big deal. That was November of last year. Haha people have no idea how much this could help us. We fucked up but the light is shining and we need to run fast. I’m pretty sure, short this miraculous pace of discovery and compound returns, we will/would end up in a runaway climate feedback loop. IPCC has been throwing out their best models because they don’t like the implications that it is going faster than expected and the climate sensitivity may be worse than expected.
People think AI is gonna cook us? The sun would like to make a bet.
Maybe you shouldn’t take everything Google says at face value. Have you seen their new AI Overviews?
You’re even directly quoting their press release and presenting it as a fact, but it’s debatable: https://www.404media.co/google-says-it-discovered-millions-of-new-materials-with-ai-human-researchers/
The only way to beat time is via simulation. We do it all the time. Otherwise you couldn’t drive a car! You maybe “imagine” / “model” the environment / drivers, the physics, etc.
Without intelligence we are doomed because inaction. We had the technology but apathy and dental won, and now it’s a race against entropy/time.
Basically moonshot or die trying
Microsoft pledged to be carbon neutral by 2030. Remains to be seen how much greenwashing that is versus actually doing things.
I, too, pledge to be carbon neutral by 2030.
If I cannot meet the criteria, I’ll just move the deadline. Easy peasy, squeeze the world out of resources lemon squeezy.
At least here in the Netherlands, there was a lot of commotion because a data centre tried to buy a windmill park meant to power households as their dedicated power source
New data centers should be forced to also build additional new renewable power.
This would be a decent policy, probably+10% max expected capacity or something and contribute back to the grid.
That’s mainly just bitcoin at this point. Other top network use proof of stake. Dont throw the baby out with the bath water.
Also, I’d reckon a secure transactional network is a serious end product. But I understand most here don’t share the same freedom of money philosophical views as the cypherpunks.
But it’s not secure. At least not in any way more secure than your password is, or that coin that’s in your jacket pocket. The whole security aspect is just another strawman.
Crypo is as secure as an online bank. Moreso because there isn’t any employee fraud.
FAR more secure. Not just employee fraud but bank failure, theft, wire fraud, govt seizure, etc. so many ways for fiat in a bank to go poof.
Huh? Why would you think this?! I’d love to explore this line of thought with you.
This article may as well be trying to argue that we’re wasting resources by using “cloud gaming” or even by gaming on your own, PC.
Yeah it is a bit weak on the arguments, as it doesn’t seem to talk about trade offs?
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Gaming actually provides a real benefit for people, and resources spent on it mostly linearly provide that benefit (yes some people are addicted or etc, but people need enriching activities and gaming can be such an activity in moderation).
AI doesn’t provide much benefit yet, outside of very narrow uses, and its usefulness is mostly predicated on its continued growth of ability. The problem is pretrained transformers have stopped seeing linear growth with injection of resources, so either the people in charge admit its all a sham, or they push non linear amounts of resources at it hoping to fake growing ability long enough to achieve a new actual breakthrough.
AI doesn’t provide much benefit yet
Lol
I don’t understand how you can argue that gaming provides a real benefit, but AI doesn’t.
If gaming’s benefit is entertainment, why not acknowledge that AI can be used for the same purpose?
There are other benefits as well – LLMs can be useful study tools, and can help with some aspects of coding (e.g., boilerplate/template code, troubleshooting, etc).
If you don’t know what they can be used for, that doesn’t mean they don’t have a use.
If gaming’s benefit is entertainment, why not acknowledge that AI can be used for the same purpose?
Ah yes the multi-billion dollar industry of people reading garbage summaries. Endless entertainment.
Ah yes the multi-billion dollar industry of people reading garbage summaries. Endless entertainment.
See, I’m not even sure if you’re criticizing LLMs or modern journalism…lmao
Unfortunately, they seem to be one and the same these days.
LLMs help with coding? In any meaningful way? That’s a great giveaway that you’ve never actually produced and released any real software.
I gave up on ChatGPT for help with coding.
But a local model that’s been fine-tuned for coding? Perfection.
It’s not that you use the LLM to do everything, but it’s excellent for pseudo code. You can quickly get a useful response back about most of the same questions you would search for on stack overflow (but tailored to your own code). It’s also useful for issues when you’re delving into a newer programming language and trying to port over some code, or trying to look at different ways of achieving the same result.
It’s just another tool in your belt, nothing that we should rely on to do everything.
FWIW I do that all the time, it’s helpful for me too.
I’m going to assume that when you say “AI” you’re referring to LLMs like chatGPT. Otherwise I can easily point to tons of benefits that AI models provide to a wide variety of industries (and that are already in use today).
Even then, if we restrict your statement to LLMs, who are you to say that I can’t use an LLM as a dungeon master for a quick round of DnD? That has about as much purpose as gaming does, therefore it’s providing a real benefit for people in that aspect.
Beyond gaming, LLMs can also be used for brainstorming ideas, summarizing documents, and even for help with generating code in every programming language. There are very real benefits here and they are already being used in this way.
And as far as resources are concerned, there are newer models being released all the time that are better and more efficient than the last. Most recently we had Llama 3 released (just last month), so I’m not sure how you’re jumping to conclusions that we’ve hit some sort of limit in terms of efficiency with resources required to run these models (and that’s also ignoring the advances being made at a hardware level).
Because of Llama 3, we’re essentially able to have something like our own personal GLaDOS right now: https://www.reddit.com/r/LocalLLaMA/comments/1csnexs/local_glados_now_running_on_windows_11_rtx_2060/
It isn’t resource efficient, simple as that. Machine learning isn’t something new and it indeed was used for decades in one form or another. But here is the thing: when you train a model to do one task good, you can approximate learning time and the quality of it’s data analyzis, say, automating the process of setting price you charge for your hotel appartments to maximize sales and profits. When you don’t even know what it can do, and you don’t even use a bit of it’s potential, when your learning material is whatever you was dare to scrap and resources aren’t a question, well, you dance and jump over the fire in the bank’s vault. LLM of ChatGPT variety doesn’t have a purpose or a problem to solve, we come with them after the fact, and although it’s thrilling to explore what else it can do, it’s a giant waste*. Remember blockchain and how everyone was trying to put it somewhere? LLMs are the same. There are niche uses that would evolve or stay as they are completely out of picture, while hyped up examples would grow old and die off unless they find their place to be. And, currently, there’s no application in which I can bet my life on LLM’s output. Cheers on you if you found where to put it to work as I haven’t and grown irritated over seeing this buzzword everywhere.
* What I find the most annoying with them, is that they are natural monopolies coming from the resources you need to train them to the Bard\Bing level. If they’d get inserted into every field in a decade, it means the LLM providers would have power over everything. Russian Kandinsky AI stopped to show Putin and war in the bad light, for example, OpenAI’s chatbot may soon stop to draw Sam Altman getting pegged by a shy time-traveler Mikuru Asahina, and what if there would be other inobvious cases where the provider of a service just decides to exclude X from the output, like flags or mentions of Palestine or Israel? If you aren’t big enough to train a model for your needs yourself, you come under their reign.
That is a good argument, they are natural monopolies due to the resources they need to be competitive.
Now do we apply this elsewhere in life? Is anyone calling for Boeing to be broken up or Microsoft to be broken up or Amazon to be broken up or Facebook?
We are missing big time on breaking them into pieces, yes. No argument. There’s something wrong if we didn’t start that process a long time ago.
The transformer technology did come built for a specific purpose, automated translation.
Ok, first off, I’m a big fan of learning new expressions where they come from and what they mean (how they came about, etc). Could you please explain this one?:
well, you dance and jump over the fire in the bank’s vault.
And back to the original topic:
It isn’t resource efficient, simple as that.
It’s not that simple at all and it all depends on your use case for whatever model you’re talking about:
For example I could spend hours working in Photoshop to create some image that I can use as my Avatar on a website. Or I can take a few minutes generating a bunch of images through Stable Diffusion and then pick out one I like. Not only have I saved time in this task, but I have used less electricity.
In another example I could spend time/electricity to watch a Video over and over again trying to translate what someone said from one language to another, or I could use Whisper to quickly translate and transcribe what was said in a matter of seconds.
On the other hand, there are absolutely use cases where using some ML model is incredibly wasteful. Take, for example, a rain sensor on your car. Now, you could setup some AI model with a camera and computer vision to detect when to turn on your windshield wipers. But why do that when you could use this little sensor that shoots out a small laser against the window and when it detects a difference in the energy that’s normally reflected back it can activate the windshield wipers. The dedicated sensor with a low power laser will use far less energy and be way more efficient for this use case.
Cheers on you if you found where to put it to work as I haven’t and grown irritated over seeing this buzzword everywhere.
Makes sense, so many companies are jumping on this as a buzzword when they really need to stop and think if it’s necessary to implement in the first place. Personally, I have found them great as an assistant for programming code as well as brainstorming ideas or at least for helping to point me in a good direction when I am looking into something new. I treat them as if someone was trying to remember something off the top of their head. Anything coming from an LLM should be double checked and verified before committing to it.
And I absolutely agree with your final paragraph, that’s why I typically use my own local models running on my own hardware for coding/image generation/translation/transcription/etc. There are a lot of open source models out there that anyone can retrain for more specific tasks. And we need to be careful because these larger corporations are trying to stifle that kind of competition with their lobbying efforts.
Otherwise I can easily point to tons of benefits that AI models provide to a wide variety of industries
Go ahead and point. I’m going to assume when you say “AI” that you mean almost anything except actual intelligence.
I think you’re confusing “AI” with “AGI”.
“AI” doesn’t mean what it used to and if you use it today it encompasses a very wide range of tech including machine learning models:
Speech to text (STT), text to speech (TTS), Generative AI for text (LLMs), images (Midjourney/Stable Diffusion), audio (Suno). Upscaling, Computer Vision (object detection, etc).
But since you’re looking for AGI there’s nothing specific to really point at since this doesn’t exist.
Edit: typo
Speech to text (STT), text to speech (TTS), Generative AI for text (LLMs), images (Midjourney/Stable Diffusion), audio (Suno). Upscaling, Computer Vision (object detection, etc).
Yes, this is exactly what I meant. Anything except actual intelligence. Do bosses from video games count?
I think it’s smart to shift the conversation away from AI to ML, but that’s part of my point. There is a huge gulf between ML and AGI that AI purports to fill but it doesn’t. AI is precisely that hype.
If “AI doesn’t mean what it used to”, what does it mean now? What are the scientific criteria for this classification? Or is it just a profitable buzzword that can be attached to almost anything?
But since you’re looking for AGI there’s nothing specific to really point at since this doesn’t exist.
Yes, it doesn’t exist.
Edit: Ok it really doesn’t help when you edit your comment to provide clarification on something based on my reply as well as including additional remarks.
I mean, that’s kind of the whole point of why I was trying to nail down what the other user meant when they said “AI doesn’t provide much benefit yet”.
The definition of “AI” today is way too broad for anyone to make statements like that now.
And to make sure I understand your question, are you asking me to provide you with the definition of “AI”? Or are you asking for the definition of “AGI”?
Do bosses from video games count?
Count under the broad definition of “AI”? Yes, when we talk about bosses from video games we talk about “AI” for NPCs. And no, this should not be lumped in with any machine learning models unless the game devs created a model for controlling that NPCs behaviour.
In either case our current NPC AI logic should not be classified as AGI by any means (which should be implied since this does not exist as far as we know).
You read too many headlines and not enough papers. There is a massive list of advancements that AI has brought about. Hell, there is even a massive list of advancements that you personally benefit from daily. You might not realize it, but you are constantly benefiting from super efficient methods of matrix multiplications that AI has discovered. You benefit from drugs that have been discovered by AI. Guess what what has made google the top search engine for 20 years? AI efficiency gains. The list goes on and on…
People in this thread think AI is just the funny screenshot they saw on social media and concluded that they are smart and AI is dumb.
Absolutely. I am surprised, I would expect more from people who would end up at a site like this.
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We need better carbon (and equivalents) accounting, and knowledge of equivalents.
E.g. Turning 60 people vegetarian = having 1 baby.
1 vegetarian baby or?
I think this implies that a vegetarian baby is only 1/60 less polluting than an omnivore baby.
The current metric is equivalent tons of CO2, and I think we actually do have numbers for that on vegetarian vs omnivorous vs heavy meat diets.
A bit harder to quantify for a human life though, certainly. We are able to at least convert methane emissions to a CO2 equivalent
We recommend four widely applicable high-impact (i.e. low emissions) actions with the potential to contribute to systemic change and substantially reduce annual personal emissions: having one fewer child (an average for developed countries of 58.6 tonnes CO2-equivalent (tCO2e) emission reductions per year), living car-free (2.4 tCO2e saved per year), avoiding airplane travel (1.6 tCO2e saved per roundtrip transatlantic flight) and eating a plant-based diet (0.8 tCO2e saved per year). These actions have much greater potential to reduce emissions than commonly promoted strategies like comprehensive recycling (four times less effective than a plant-based diet) or changing household lightbulbs (eight times less).
https://iopscience.iop.org/article/10.1088/1748-9326/aa7541/pdf
Cars collectively emit far more carbon than ChatGPT, and ChatGPT is only going to get more optimized from here.
Ultimately the answer should be in a heavy carbon tax, rather than having a divine ruler try and pick and choose where it’s worth it to spend carbon.
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Look up how much pollution is made from the massive shipping boats when they get into international waters and start burning bilge oil.
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You know that Microsoft doesn’t just sit there and burn electricity for fun right?
Microsoft data centers are doing what consumers ask them to do. They are burning data at the request of users, no different than your personal PC.
Actually the main difference is that he computers in their data centers are far more energy efficient than your PC.
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So then you realize that it’s not Microsoft burning that electricity, but individual consumers?
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You’re really trying yourself in knots to try and blame the big bad corpos and no one else.
Yes they are shoving it in people’s faces, and when the average person uses their default browser with a default search engine and searches on Bing and it uses AI in addition to a search index they are to blame, but every single user who intentionally seeks out ChatGPT or Copilot is also to blame.
It’s a new technology, people are going to use it and burn energy with it and then eventually we will make a more efficient version of it as it matures, similar to everything else, including traditional search.
So when exactly is all of this going to stop? First we had town-scale crypto farms, that were juicing enough energy to leave other people with no electricity. Then we switched to NFTs, and the inefficient ever-growing blockchain, and now we’re back to square one with PISS, and it telling people to put glue on pizza, and suicide off the golden gate bridge
It’s going to stop when the price of energy reflects its external cost. Externalities are very well understood by economists, so big oil has convinced us to go after consumers instead.
We need a Green New Deal, not a villain of the week.
Never. Cope and seethe luddite. Btw AI plagiarizes less than humans. Back to Reddit, now!
I hope i can become this delusional one day. Life would be so much easier
Bruh you’re projecting harder than an IMAX cinema
Crypto and proof of work algorithms inherently waste energy.
AI using a lot of energy is like 4k video using a lot of energy, yeah, it does right now, but that’s because we’re not running it on dedicated hardware specifically designed for it.
If we decoded 4k videos using software at the rate we watch 4k videos, we’d already have melted both ice caps.
AI bad though!
You know what’s ironic? We’re all communicating on a decentralized network which is inefficient when compared to a centralized network.
I’m sure we could nitpick and argue over what’s the most efficient solution for every little thing, but at the end of the day we need to see if the pros outweigh the cons.
I highly doubt the “people” downvoting the nerds here understand what a decentralised network is, I bet some of them think Lemmy is just an app owned by a megacorp somewhere. How it works must be like magic to the unwashed .world masses.
the infrastructure used by the “cloud” accounts for more global greenhouse emissions than commercial flights
This comparison is bad. Commercial flights don’t use electricity, they use jet fuel, pumping fumes directly into the atmosphere. I don’t see a single complaint about HOW electricity is produced. I just read about how there’s too much solar power in California. A serious disconnect in the logic blaming AI for pollution when we should be blaming the way we produce electricity.
They’re taking about emissions, not energy use. You have a reading comprehension issue. The emissions are from the energy production. It’s logical to say that a, largely pointless, technology using high amounts of electricity cause emissions through the generation of electricity to power the pointless AI tech.
AI tech isn’t pointless though. It’s not just about trying to replace artists or whatever. It significantly speeds up things like programming. It’s also used by scientists to mine data to find patterns and make predictions. For Pete’s sake I am pretty sure climate modeling relies on AI and other forms of HPC.
Scientists analyze data using statistics. I don’t see how and LLM helps with that. And it barely helps with programming, not to the extent that it is worth the impact.
I wasn’t just talking about LLMs. Lots of modern data analysis techniques rely on machine learning.
Although LLMs are also used by scientists to help with things like programming that not all scientists are necessarily good at or properly trained in.
we should be blaming the way we produce electricity
I’m also referring to emissions, just redirecting focus about HOW electricity is produced. Also, AI is not pointless, that’s a bad claim. You have a comprehension issue.
I didn’t miscomprehend, you just disagree with my reasonable assertion that AI is pointless and sucks. Hope this helps!
I didn’t miscomprehend, you just disagree with my reasonable assertion that AI isn’t pointless and sucks. Hope this helps!
That is not a reasonable assertion at all. AI is being used in more ways than what is being described in your rage-bait media diet. “AI is pointless and it sucks” is a blatantly ignorant statement.
It’s marginal utility is not worth the energy expenditures.
You just don’t know what it is beyond memes.
No reason for this to have been removed
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Yeah, seriously. Did the person you were replying to think the energy that’s powering datacenters was all clean?
Pass a carbon tax. Oh wait that would be too easy.
GTFO with your time-tested solution to negative externalities.
It seems the people who are the most staunch defenders of capitalism and free markets are the most resistant to the capitalist and free market solution.
Clean air (or rather, air with normal levels of carbon) belongs to the public, and anyone who wants to take it away should pay the public.
Sigh. You can hold any opinion you want about the ideal society. This is a good idea for the society we have now. If we all die it’s not going to matter if Adam Smith or Karl Marx was correct.
I’m pretty sure he was agreeing with you…?
I think that some are allergic to any slightest notion of capitalism being good
Which may be because recent history has proven beyond doubt that capitalism without regulation is catastrophical and capitalists will always push the boundaries & try to get rid of regulation, thereby it is always catastrophical, with temporary periods where it looks good on the surface.
hey i think you attracted some of those people you mentioned :)
Sometimes I just want to see online world burn
Now do I want to engage em or not? Probably not I guess, it would be tiring especially since any nuance is lost on the web in favour of black and white thinking
I’ll play some guitar or eat burgers while they produce their stuff. Maybe draw something or blender hm
The key to healthy internet is to wisely choose your keyboard battles and not get bogged down by the army of simpletons
On top of that, if you refuse to defend your vague statements implying it would be a waste of your time and beneath you, you end up being always right!
Carbon taxes doesn’t make capitalism good, it’s still like, the cause of the problem in the first place
Adam Smith would go absolutely ballistic if he were to see our current system. Not at all his vision.
Why don’t you just hand over all your income to the government just to be sure you won’t engage in any unnecessary activity.
What are you on about? A carbon tax is a way to lower the tragedy of the commons in terms of air pollution. It is the free market compromise. Allowing individuals and companies time and giving them incentive to stop doing something that hurts us as a whole. The socialist answer would be to ban it outright. You are getting the best solution the capitalist market allows. Additionally it aligns pretty well with traditional capitalist economists have argued before: a resource owned as a whole will be mismanaged.
I honestly don’t get why it isn’t a more popular idea. I would much rather live in a world where people are being gently pushed into making the right decision with adequate time to adapt vs a world that is on fire.
And on the off chance that 99% of climate science is wrong we still benefit from having a less acidic ocean, less smog, less local air pollution, and spending less money on maintenance of so many machines.
ITT hella denialism.
It is a little scary. Machine learning / LLMs consumes insane amounts of power, and it’s under everyone’s eyes.
I was shocked a few months ago to learn that the Internet, including infrastructure and end-user devices, already consumed 30% of world energy production in 2018. We are not only digging our grave, but doing it ever faster.
The Sam Altman fans also say that AI would solve climate change in a jiffy. Problem is, we already have all the tech we need to solve it. We lack the political will to do it. AI might be able to improve our tech further, but if we lack the political will now, then AI’s suggestions aren’t going to fix it. Not unless we’re willing to subsume our governmental structures to AI. Frankly, I do not trust Sam Altman or any other techbro to create an AI that I would want to be governed by.
What we end up with is that while AI might improve things, it almost certainly isn’t worth the energy being dumped into it.
Edit: Yes, Sam Altman does actually believe this. That’s clear from his public statements about climate change and AI. Please don’t get into endless “he didn’t say exactly those words” debates, because that’s bullshit. He justifies massive AI energy usage by saying it will totally solve climate change. Totally.
Frankly, I do not trust Sam Altman or any other techbro to create an AI that I would want to be governed by.
“Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.”
~ Frank Herbert, Dune
Thing is, I could maybe be convinced that a sufficiently advanced AI would run society in a more egalitarian and equitable way than any existing government. It’s not going to come from techbros, though. They will 100% make an AI that favors techbros.
Edit: almost forgot this part. Frank Herbert built a world ruled by a highly stratified feudal empire. The end result of that no thinking machine rule isn’t that good, either. He also based it on a lot of 1960s/70s ideas about drugs expanding the human mind that are just bullshit. Great novel, but its ideas shouldn’t be taken at face value.
I agree that these arguments are stupid, but is anyone actually saying we should do those things?
Yes, Sam Altman himself.
Seems he didn’t say what you said he did. Why did you lie?
Why do you keep embarrassing yourself?
Posioning the well. You can admit your lies btw
No one is.
You know I have never once heard anyone saying what you are saying that they are. I personally think it would be better for us to address bad arguments that are being made instead of ones we wish existed solely so we can argue with them.
You mean the ones Sam Altman is actually saying?
Claim:
"The Sam Altman fans also say that AI would solve climate change in a jiffy. "
What he said:
"If we spend 1% of the world’s electricity training powerful AI, and that AI does figure out how to get (to carbon goals) that would be a massive win, (especially) if that 1% lets people live their lives better.”
Were you just assuming I would take you at your word?
Check my edit in the post above, made over an hour before you posted this.
Actually made after I posted that. Why do you keep lying? It’s messed up. This is low stakes internet comments.
And no he didn’t say what you swore he said.
we already have all the tech we need to solve it
And we already know “how to get to carbon goals” that Altman mentioned we need AI to figure out.
Now look into animal farming!
Seriously, though, our population growth rates are unsustainable, and we really better start getting in with nuclear power soon.
I already look into it, I choose to be vegetarian.
Nuclear power plants are a patch to the bigger issue, the idea of infinite progress. We need to reduce consumption.
Yeah but as long as our population keeps growing than I’m not sure how else we get to a sustainable world. Obviously it has to be an intentional, consensual cultural shift, I’m not suggesting forcing people to not have kids. But I didn’t know how the earth doesn’t just collapse at some point as long as people keep having more and more kids and our population keeps growing.
ETA: oh and I’m vegan btw
Nothing like the good old magical-thinking-from-guys-who-love-logic.
Believing oneself to be the rational one in life continues to sadly be the origin of so many blind spots in people’s thinking.
All that for glorified autocomplete
But now I know that I can jump off the Golden Gate bridge to cure my depression.
The golden gate bridge is so far away from me. I don’t know what to do to cure depression. :(
I plan on building my own Golden Gate Bridge (to scale) and then jump off!
I mean, that’s also all you or I am.
Speak for yourself, loser. Repeating shit you heard an influencer say on Twitch is cringe.
You are insulting someone simply because they didn’t go along with your strawman? Intelligence is in short supply these days.
Explain to me how we’re not or kindly go outside and play hide and go fuck yourself.
I’m calling it now: you’ll end up poor and unhappy
That’s cool, free will doesn’t exist, whats going to happen is going to happen. I’ve accepted that, so I might die poor, but you’re the only one here with a chance of dying truly unhappy.
You know what’s funny? What negative prompts you’d have to give an LLM to get it to respond the way you do.
You were more entertaining when you just repeated dumb lines from your favourite influencers
That is an absurd reduction of reality, blatant illustration of dunning-kruger in relation to LLMs
Or is it? Dun-dun-DUNNN!
LLMs are just predictive text but bigger
Of course it would… lmao are you kidding me? Have you never seen a server farm? Hell NSA has huge warehouses of servers.
Last year, before I joined this organization, IT decided to get off Microsoft’s cloud service because after some calculations they realize that on-prem hosting was significantly cheaper than cloud hosting. Now I believe more and more organizations small and large/enterprise are getting off cloud or doing a mixture / hybrid because the costs are not justifiable.
And for AI? Requiring GPUs? Huge energy consumers.
AI -and cryptocurrencies- use massive amounts of energy and the only value they produce is wealth. We don’t get correct, reliable and efficient results with AI, and we don’t get a really useful currency but a speculatory asset with cryptocurrencies. We are speeding into a climate disaster out of pure greed.
This is absolutely false. GitHub Copilot (and it’s competitors) alone are already actively helping and assisting virtually every software developer around the world, and highly structured coding languages are just the easiest lowest hanging fruit.
Yes we are heading to a climate disaster because of greed, but that has nothing to do with AI.
what are the competitors to github’s copilot? I tried it for personal and really like it but can’t use it for work due to IP leak risks.
I’m hoping there is a self hosted option for it.
Edit: found one. TabbyML
I don’t want to doxx myself or blow my own horn. The programming I do, and many developers do, is not something ChatGPT or Bing AI or whatever it is called can do.
At best, it is a glorified search engine that can find code snippets and read -but not understand- documentation. Saves you some time but it can’t think and it can’t solve a problem it hasn’t seen before, something programmers often have to do a lot.
Nothing at all?
We get it, you don’t know what you’re talking about.
God, I love it when laypeople feel they understand the entire field they have never studied and are oh-so-confident to preach to others who also know nothing about the subject.
This isn’t a good situation, but I also don’t like the idea that people should be banned from using energy how they want to. One could also make the case that video games or vibrators are not “valuable” uses of energy, but if the user paid for it, they should be allowed to use it.
Instead of moralizing we should enact a tax on carbon (like we have in Canada) equal to the amount of money it would take to remove that carbon. AI and crypto (& xboxes, vibrators, etc) would still exist, but only at levels where they are profitable in this environment.
Love how we went from “AI needs to be controlled so it doesn’t turn everything into paperclips” to “QUICK, WE NEED TO TURN THE PLANET INTO PAPERCLIPS TO GET THIS AI TO WORK!!”
Large language models such as ChatGPT are some of the most energy-guzzling technologies of all. Research suggests, for instance, that about 700,000 litres of water could have been used to cool the machines that trained ChatGPT-3 at Microsoft’s data facilities.
This metric doesn’t say anything.
So… Absolutely need to be aware of the impact of what we do in the tech sphere, but there’s a few things in the article that give me pause:
Research suggests, for instance, that about 700,000 litres of water could have been used to cool the machines that trained ChatGPT-3 at Microsoft’s data facilities.
- “Could”. More likely it was closed loop.
- Water isn’t single use, so even if true how does this big number matter.
What matter is the electrical energy converted to heat. How much was it and where did that heat go?
Moreover, when significant energy resources are allocated to tech-related endeavours, it can lead to energy shortages for essential needs such as residential power supply. Recent data from the UK shows that the country’s outdated electricity network is holding back affordable housing projects.
Can you say non sequitur ?
The outdated network holding back housing is that it doesn’t go to the right places with the capacity needed for the houses. Not that OpenAIUK is consuming so much that there’s no power left. To use a simily, there’s plenty of water but the pipes aren’t in place.
This article is well intentioned FUD, but FUD none the less.
700.000 litres also sounds like much more than 700 m³. The average German citizen consumed 129 litres per day or roughly 47 m³ annually. The water consumption of 15 people is less than most blocks.
Energy consumption might be a real problem, but I don’t see how water consumption is that big of a problem or priority here.
Liters are a great unit for making small things seem large. I’ve seen articles breathlessly talking about how “almost 2000 liters of oil was spilled!” When 2000 liters could fit in the back of a pickup truck.
Water “consumption” is also a pretty easy to abuse term since water isn’t really consumed, it can be recycled endlessly. Whether some particular water use is problematic depends very much on the local demands on the water system, and that can be accounted for quite simply by market means - charge data centers money for their water usage and they’ll naturally move to where there’s plenty of cheap water.
Oil is different because 1 ppm can ruin a whole litre or something in that direction.
Assuming that’s true, most of the oil tends to clump together. 2000L doesn’t just perfectly disperse out across billions of litres of water, contaminating everything.
Liters are a great unit for making small things seem large. I’ve seen articles breathlessly talking about how “almost 2000 liters of oil was spilled!” When 2000 liters could fit in the back of a pickup truck.
That just means you have no intuitive sense of how large a litre is. If they’d written it as “2000 quarts” (which is close enough to being the same volume at that level of rounding) would it have painted a clearer picture in your head?
I’m Canadian. Milk comes in liters.
If you’re saying that 2 cubic meters can’t fit in the back of a pickup truck, here’s some truck capacities. A cubic yard is 0.764555 cubic meters, so a full sized pickup can hold 3.4 cubic meters of cargo.
It’s usually not the water itself but the energy used to “systemize” water from out-of-system sources
Pumping, pressurization, filtering, purifying all take additional energy.
The average German citizen consumed 129 litres per day
That seems like a lot. Where are you getting that number?
Edit: consumes = uses not drinks
The EPA states that each American uses an average of 82 gallons or 310.4 litres a day (study from 2015). Source: https://www.epa.gov/watersense/statistics-and-facts
I would assume that includes stuff like toilets,baths,showers,dishes and hand washing etc as fresh water uses. Either that or Germans are the ultimate hydrohommie.
A quick search says 3.7L is the recommended intake for men, and 2.7L for women. Forget AI, Germans appear to be the real resource guzzlers!
Here “consume” means far more than just “drank”. If you take a shower at home, you are consuming water. Wash your car? Consume water. Water your garden? Consume water.
Aha! That makes a lot more sense with that framing.
EDIT: In 2019 in Canada the daily residential average was 215L per day. 129L seems like a dream in contrast.
I imagine the number goes up considerably when you account for showering, washing clothes and dishes, and water used while cooking. It would go up even more if you account for the water used to produce the food consumed by the individual.
“Could”. More likely it was closed loop. As I understand it this is an estimate, thus the word “could”. This has nothing to do with using closed or open look water cooling. Water isn’t single use, so even if true how does this big number matter.
The point they are trying to make is that fresh water is not a limitless resource and increasing usage has various impacts, for example on market prices.
The outdated network holding back housing is that it doesn’t go to the right places with the capacity needed for the houses. Not that OpenAIUK is consuming so much that there’s no power left. To use a simily, there’s plenty of water but the pipes aren’t in place.
The point being made is that resources are allocated to increase network capacity for hyped tech and not for current, more pressing needs.
Is there a reason it needs to be fresh water? Is sea water less effective?
corrosion
Oh makes sense.
Not just corrosion, but also to prevent precipitation in evaporative cooling systems (the most common ones).
Evaporative systems require constant input of new water; if you’re adding saltwater the salt will concentrate and it’ll become a saturated brine, and once the brine evaporates a bit the salt precipitates. It’ll happen mostly on the cooling fills (that will need to be replaced more constantly), but the main issue is that some precipitate does get carried by the brine and clogs the pipes.
A lot of industry does use grey water or untreated water for cooling as it’s substantially cheaper to filter it and add chemicals to it yourself. What’s even cheaper is to have a cooling tower and reuse your water, in the volumes it’s used at industrial scales it’s really expensive to just dump down the drain (which you also get charged for), when I worked as a maintenance engineer I recall saving something like 1m cad minimum a year by changing the fill level in our cooling tower as it would drop to a level where it’d trigger city water backups to top up the levels to avoid running dry, and that was a single processing line.
“Could”. More likely it was closed loop.
Nope. Here’s how data centres use water.
It boils down to two things - cooling and humidification. Humidification is clearly not a closed loop, so I’ll focus on the cooling:
- cold water runs through tubes, chilling the air inside the data centre
- the water is now hot
- hot water is exposed to outside air, some evaporates, the leftover is colder and reused.
Since some evaporates you’ll need to put more water into the system. And there’s an additional problem: salts don’t evaporate, they concentrate over time, precipitate, and clog your pipes. Since you don’t want this you’ll eventually need to flush it all out. And it also means that you can’t simply use seawater for that, it needs to be freshwater.
Water isn’t single use, so even if true how does this big number matter.
Freshwater renews at a limited rate.
What matter is the electrical energy converted to heat. How much was it and where did that heat go?
Mostly to the air, as promoting the evaporation of the water.
Can you say non sequitur ?
More like non sequere than non sequitur. Read the whole paragraph:
Moreover, when significant energy resources are allocated to tech-related endeavours, it can lead to energy shortages for essential needs such as residential power supply. Recent data from the UK shows that the country’s outdated electricity network is holding back affordable housing projects. This will only get worse as households move away from using fossil fuels and rely more on electricity, putting even more pressure on the National Grid. In Bicester, for instance, plans to build 7,000 new homes were paused because the electricity network didn’t have enough capacity.
The author is highlighting that electrical security is already bad for you Brits, for structural reasons; it’ll probably get worse due to increased household consumption; and with big tech consuming it, it’ll get even worse.
Data center cooling towers can be closed- or open-loop, and even operate in a hybrid mode depending on demand and air temps/humidity. Problem is, the places where open-loop evaporative cooling works best are arid, low-humidity regions where water is a scarce resource to start.
On the other hand, several of the FAANGS are building datacenters right now in my area, where we’re in the watershed of the largest river in the country, it’s regularly humid and rainy, any water used in a given process is either treated and released back into the river, or fairly quickly condenses back out of the atmosphere in the form of rain somewhere a few hundred miles further east (where it will eventually collect back into the same river). The only way that water is “wasted” in this environment has to do with the resources used to treat and distribute it. However, because it’s often hot and humid around here, open loop cooling isn’t as effective, and it’s more common to see closed-loop systems.
Bottom line, though, I think the siting of water-intensive industries in water-poor parts of the country is a governmental failure, first and foremost. States like Arizona in particular have a long history of planning as though they aren’t in a dry desert that has to share its only renewable water resource with two other states, and offering utility incentives to potential employers that treat that resource as if it’s infinite. A government that was focused on the long-term viability of the state as a place to live rather than on short-term wins that politicians can campaign on wouldn’t be making those concessions.
They can be closed-loop as in your region but they usually aren’t - besides the problem that you mentioned, a closed loop increases electricity consumption (as you’ll need a heat pump instead), and electricity consumption is also a concern. Not for the environmental impact (corporations DGAF), but price.
Despite its name, the infrastructure used by the “cloud” accounts for more global greenhouse emissions than commercial flights. In 2018, for instance, the 5bn YouTube hits for the viral song Despacito used the same amount of energy it would take to heat 40,000 US homes annually.
Mixing and matching abstract measurements doesn’t work when comparing two things.
it actually is an enlightening comparison when you dig into it. It’s saying that the energy required to power one play of a song is 4e4*365/5e9 of the energy to heat a home for one day. That comes out to about 0.3%, i.e. if you watch a three minute youtube video three times and do absolutely nothing else that day but heat your house (dont use any other electricity, dont eat anything, dont travel anywhere) you increase your energy usage by a total of 1%
It does not work like that.
The problem with such statements is the energy costs are nowhere near fixed. The amount of energy needed to play a song on my iPod shuffle through a wired headset is wildly different from the power needed to play that same song on my TV through my home theater equipment.
The same is true on the backend. The amount of power Google spends serving up a wildly popular band is way less than what they burn serving up an unknown Indy band’s video. That’s because the popular band’s music will have been pre-optimized by Google to save on bandwidth and computing resources. When something is popular, it’s in their best interests to reduce the computational costs (ie power consumption) associated with serving that content.
I was just using the numbers given in the article, presumably its an average including any sort of caching.
4e4 not 4e5, 4e5 is 400,000.
sorry yes, typed it wrong, right final number though
Yeah thats bullshit. Unless you have a hyper efficient heating system and power your internet with a badly tuned 1950s generator, theres no way youre getting 1%.
this includes the power used on the back end, not just the power used by the end user.
Yeah thats bullshit. Unless you have a hyper efficient heating system and power your internet with a badly tuned 1950s generator, theres no way youre getting 1%.
I can’t tell if this is serious since most homes don’t need heated every day…
They definitely do for most of the year, though?
Depends on location and personal preferences. Most of the US, which the article appears to be usung for home heating numbers, only needs to heat homes for a few months during the year. Sure, New York and Denver might be over half the year but Florida and southern California don’t need much heating at all.
Oh yeah, in extreme hot temperature AC-year-round no snow countries like the US maybe
Yes, averages are a thing.
Why have an average for something that is seasonal?
Because its a comparison, no one cares how much energy playing a video uses compared to heating your house on may the 5th as opposed to december the 12.
