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.

  • @Kyrgizion@lemmy.world
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    1077 months ago

    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!

    • @zaphod@sopuli.xyz
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      467 months ago

      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.

      Source: https://www.iea.org/reports/electricity-2024

      • @Lost_My_Mind@lemmy.world
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        267 months ago

        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…

      • Kairos
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        37 months ago

        Maybe they got confused about total power usage (maybe) being more than the green power added?

        • @DanglingFury@lemmy.world
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          7 months ago

          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%.

          https://sustainability.mit.edu/article/cleaning-one-worlds-most-commonly-used-substances#:~:text=Concrete is the second most,it’s used to make concrete.

      • @explodicle@sh.itjust.works
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        97 months ago

        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.

    • Blaster M
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      7 months ago

      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

  • Ragdoll X
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    377 months ago

    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.

  • @RememberTheApollo_@lemmy.world
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    7 months ago

    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.

  • @gedaliyah@lemmy.world
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    207 months ago

    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?

  • @Wispy2891@lemmy.world
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    147 months ago

    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

  • Teknikal
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    107 months ago

    It’s a nice gimmick and sometimes fun but probably not worth it given the state of the planet already.

  • @alienanimals@lemmy.world
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    107 months ago

    “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.

    • @Facebones@reddthat.com
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      107 months ago

      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?

      • @NocturnalEngineer@lemmy.world
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        77 months ago

        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.

      • @alienanimals@lemmy.world
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        37 months ago

        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.

  • @Fizz@lemmy.nz
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    67 months ago

    This is posted every week with different numbers. I don’t care if data centers use a lot of electricity. They run very efficiently and are a necessity for our modern lives. You have no idea what is being run inside those data centers ai is so much more than chatgpt.

    • @explodicle@sh.itjust.works
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      7 months ago

      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.

  • @ano_ba_to@sopuli.xyz
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    37 months ago

    There exists an alternative that uses a lot less power. And also that power is going to get spent no matter what anyway.

    • Kairos
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      17 months ago

      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.

    • @postmateDumbass@lemmy.world
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      7 months ago

      We never actually used large numbers of monkeys paired with typewritters to produce new literature.

      Why? Because it would have wasted all the bananas to produce a bunch of shit.

      That is all this level of AI is really equivilant to.

      Throwing pudding at a wall, deciding if that toss is closer to the goal than before, changing something, then repeating.

      Maybe dont waste the resources until the process is more efficient.