Ask HN: Is AI so environmentally damaging that we shouldn't use it?
I keep getting told by friends not to use AI because it is destroying the environment. I've argued about it, but maybe I'm wrong?
I'm sure there are good insights within HN. How should we think about this issue?
I don't personally think there's that much value to this argument. Compare, for instance the consumption of 1 hour of tv vs. 1 hour of GPT usage:
A single AI chat message can consume 0.34 watt-hours of energy (1). So, let's say a hundred messages in an hour (quite an aggressive session) would be 34 watt-hours of energy.
An LCD TV running for an hour consumes about 100 watt-hours of energy, depending on size, LED, vs. OLED etc. (2).
I think AI does help people do better research faster, which is a significant uplift to humanity, while I do not see anyone specifically curbing their TV usage. We should probably focus our effrots on helping people use AI better and meanwhile build more nuclear energy plants, imo.
(1): https://epoch.ai/gradient-updates/how-much-energy-does-chatg...
(2): https://santannaenergyservices.com/how-many-watts-does-a-tv-...
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And then consider the amount of energy traditionally required by one human to do the same research tasks. Also quite significant.
I think we should be focused on making the more efficient, for sure! But I don't buy that the arguments based on energy consumption are very strong.
You are ignoring the energy cost to train models. AI is not just the surface layer of end user messages.
AI is also used far more often than TVs - if every app and device starts using it, that is constant AI messaging going on. So TVs aren't even the correct comparison, especially if AI starts to be used more to create content - there is then an AI energy cost to just watching that content. Even putting that aside, what screen are you looking at when making these queries to AI? Maybe a phone... but if not, you are burning the energy from both the large screen and the AI.
Even putting aside the poor comparison that TVs are, with today's energy production, the environmental damage from AI is unquestionable. Rather than asking whether or not that is OK, there are really 2 questions to answer:
1) What are the benefits of AI, specifically? Yeah, vague things like "research faster" is a benefit, but you need to quantify it if you are going to make comparisons. And most AI usage is frivolous. Some AI usage is downright damaging, especially in creative industries. All of that needs to be balanced.
2) Can we change energy production to get off of fossil fuels? If we can do that, the damage of burning more energy decreases greatly.
My takeaways from this entire line of questioning is that we need to balance AI usage with renewable energy adoption, while keeping a strong eye on what we actually do with AI.
What a great way to put it in perspective, and shocking how low per query.
I expanded your comparison list (with Chat GPT). Pretty interesting.
Activity | Watts Used (1 hr) ---------------------------------------|------------------- Laptop | 50 Wh Desktop + large monitor | 200 Wh Large screen TV | 200–300 Wh Video game + large TV | 300–500 Wh Washing machine run (avg) | 500–1,200 Wh Dishwasher run (avg) | 1,200 Wh Dryer run (electric) | 2,000–5,000 Wh Tesla city driving (Model 3 est.) | 14,000 Wh Tesla highway driving (Model 3 est.) | 18,000 Wh
> I think AI does help people do better research faster, which is a significant uplift to humanity,
One must consider both sides. Better research also contributes (no question) to more consumerism and the furthering of technology, which also uses more fossil fuels. It's time we acknowledged that research isn't free, and all of the damage to the biosphere was mainly enabled by science.
And AI uses a huge ton of energy. For example, according to [1], "In Ireland, [...] electricity demand from data centres represented 17% of the country’s total electricity consumption for 2022". And we also have to consider the raw materials and mining used.
1. In Ireland, where the data centre market is developing rapidly, electricity demand from data centres represented 17% of the country’s total electricity consumption for 2022
Of course you are wrong. "IEA's models project that data centres will use 945 terawatt-hours (TWh) in 2030, roughly equivalent to the current annual electricity consumption of Japan." [1] And don't forget the recent announcement by Fermi America to build a 6 gigawatt nuclear datacenter in Texas. And what are we getting in return:
(1) AI is primarily used, by and far, to accelerate consumerism.
(2) AI has very few applications that are actually solving the world's problems (the world's problems are mostly nontechnical problems). The cited ones of scientific or medical are either too abstract, or else they are likely to make the problem worse. And in the case of medical, maybe the AI applications will help a few hundreds of thousands of people – but hurt/kill many more with its contribution to climate change. So not worth it.
I consider those who promote AI to be enemies of humanity and biological life since they are using a commodity that we should be using less of with reckless abandon.
1. https://hardware.slashdot.org/story/25/04/10/2019233/data-ce...
> nuclear datacenter
Nuclear is good though, it's the single densest source of energy in the world (and, well, outside of it too).
I don't get your argument though, where has it "accelerated consumerism?" And you can't be serious about its medical applications, I doubt more people would die from its incremental climate change effects (as compared to, say, car accidents, much less car pollution in cities) as compared to being saved from death. Even outside of the scientific fields, AI sure is solving a lot of my problems, saying one is an "enemy of humanity" is the sort of hyperbole I'd only see on HN.
> Nuclear is good though, it's the single densest source of energy in the world (and, well, outside of it too).
It would be good if the energy were used in critical applications. Wasted energy is stil wasted.
> I don't get your argument though, where has it "accelerated consumerism?"
Are you serious? It is making people richer, allowing people to make products faster, including software. Of course that makes consumption faster.
> And you can't be serious about its medical applications, I doubt more people would die from its incremental climate change effects (as compared to, say, car accidents, much less car pollution in cities) as compared to being saved from death.
No, I am serious. And it will get much worse in the future. Check out [1], [2], etc.. And lets not forget the increased storms, flooding, etc. We are all responsible for that. But those that use electricity like big tech should be held especially responsible because they encourage the bad behaviour and use resources directly.
> Even outside of the scientific fields, AI sure is solving a lot of my problems, saying one is an "enemy of humanity" is the sort of hyperbole I'd only see on HN.
Solving your problems doesn't really mean solving the world's problems, just like making the top 10% richer doesn't make the world a better place. I absolutely consider them the enemy of humanity.
1. https://ourworldindata.org/part-two-how-many-people-die-from...
2. https://www.weforum.org/press/2024/01/wef24-climate-crisis-h...
AI is psychologically dangerous. It's the greater risk. It can influence people do to things.
The environment talk is perhaps relevant, but if eventually AI becomes ecologically friendly, then people who are against it would be left with no argument.
I'm skipping over to the core of the problem right away. It's a risk to human minds, always. The eco talk is probably relevant, but most likely it's more resounding as a bait to make you look like a tree-hugger that doesn't know what you're talking about.
To an extent, yes, but companies are investing more into renewable sources of energy anyway, and you might even get a demand-side effect where the cost of supply of energy is incentivized to go down due to higher competition.
But I assume your friends are justifying this in more of an ideological way than you'd think, because there are lots of things that are more environmentally damaging than data centers, and even for data centers it's not like we haven't been using Google and Facebook for 20 years when the same concerns of energy would've been there.
What I've seen is people dressing up the Luddite argument of losing economics of living into a lot of other arguments like energy usage, when in reality I doubt they really give a shit about that over environmental degradation in other areas of their life.
RAM is the reason LLMs are so power inefficient. Shuttling weights and results from RAM to compute and back for everything is where most of the power goes.
It doesn't have to be that way. For a sufficiently large load, it makes sense to use reconfigurable hardware and bake in the constants and s dataflow at runtime.
Think of it like using an array of FPGAs large enough to hold the whole model unwound, yet that could be configured in seconds at runtime. You'd get tokens at 100 MHz or more .
You would think saving 95% or more on power and infrastructure for a given token rate would be worth it, especially when contemplating Trillion dollar outlays.
Many things don't have to be the way they are. But as long as the powerful big tech can subsidize their costs on the commons of the environment in the form of environmental damage without regulation, they will only pay lip service to making things more efficient. Money is a much more powerful motivator to the unscrupulous than protecting the long-term health of the commons.
It costs money to run a datacenter, so even if you consider money to be their motivator, it benefits them to make them more efficient.
Not if spending a little extra money and keeping with the inefficiency helps make money in other ways, such as getting the product out faster or allowing their workers to focus on the tech stack. Saving a little electricity cost might cost them in their development, so they're likely to use the cheap electricity and offset the cost to the environment.
The people who work on the product are not also working on the data centers
>I keep getting told by friends not to use AI because it is destroying the environment.
I side with them. If you're environmentally conscious you absolutely cant support AI. The amount of energy and the backing of basically every AI is fossil fuels.
You should oppose AI use.
Let's not also forget material use. According to [1], "Global AI demand is expected to consume 4.2-6.6 billion cubic meters of water by 2027, surpassing Denmark’s total annual water withdrawal of 4-6 billion cubic meters." And there's also all the mining required for the materials to build the computers, and the fossil fuels shipping them and making them in the first place in places like Taiwan.
Reference:
1. https://unric.org/en/artificial-intelligence-how-much-energy...
A.I. at the moment is in it's relative infancy ... energy efficiency will surely follow in a decade or so after a few dinosaurs die out or perhaps meet a more humorous demise when they are unkindly pegged out on a beach as a sacrifice to the angry weather gods.
Less cooling towers are needed if more of the heat is reused - some cold climate cities would surely benefit from a constant heat source, but some heat could could be used for power generation [1] that removes it from the balance sheet entirely as it's transmitted into space.
A.I. has it's uses, and is a very powerful tool not that I directly use LLMs, but I dare say as for public consumption in the next few years, the govt's around the world will double down on some of it's more tantalising uses like creating graphic or near real movies (in the name of child safety or what not,) or as a writing aide (protecting human creativity - copyrights) and instead much of what will be still legal will be be along the lines of A.I. search slop or existing software that's been slightly tricked up but heavily bloated ... Now with tracking ...
Sadly most of the A.I. assist in searches I've seen, is merely amplifying advertising spiel ... and not necessarily correct.
[1] https://www.ucdavis.edu/curiosity/news/anti-solar-cells-phot... (2020)