• musicpostingonly [he/him, any]@hexbear.net
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    9 days ago

    Give them level one gray water or tell them to fuck all the way off. Only two options.

    It isn’t going to be regulated away, and despite my feelings about it, it likely is going anywhere.

    So either give them gray water and tell them to cope, or tell them to kick rocks.

      • hello_hello [comrade/them]@hexbear.net
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        9 days ago

        If there’s any consolation, there is a shit ton of rich people who are not going to be able to build their personal Disney lands in remote areas away from the peasants because of the water strain.

        I mean, they’ll just build it somewhere else, but at least they’ll get to feel a small fraction of what climate change will bring. Maybe some of them will start believing in it.

  • GrouchyGrouse [he/him]@hexbear.net
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    9 days ago

    Sam Altman is an ecoterrorist. I hope he falls off a cliff straight as a pencil and his legs get pushed into his torso like a pair of nuclear coolant rods.

  • sodium_nitride [she/her, any]@hexbear.net
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    9 days ago

    But the environmental toll of these large data centers, which suck up gigawatts of power and require vast amounts of water for cooling, has been too diffuse and difficult to quantify.

    Too diffuse to quantify? How so? The AI industry is very consolidated.

    The team found that, by 2030, the current rate of AI growth would annually put 24 to 44 million metric tons of carbon dioxide into the atmosphere

    Weirdly enough, it’s smaller than I was expecting. But this is just a single paper.

    Well, let’s look at some stats for context.

    The US generated 15.048 trillion kJ of electricity and 1.53 billion tons of CO2 for that electricity in 2024. That’s about 0.10167 kg of CO2 per kJ of electricity on average.

    If AI datacenters have the US average of carbon intensity in 2024, then the paper basically says that they will use 432.75 billion kJ of electricity. Or 120.21 GWh. That’s the upper end estimate.

  • sodium_nitride [she/her, any]@hexbear.net
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    9 days ago

    On the upside, the study also outlines an actionable roadmap that would use smart siting, faster grid decarbonization and operational efficiency to cut these impacts by approximately 73% (carbon dioxide) and 86% (water) compared with worst‑case scenarios.

    From the paper’s abstrac5

    Although best practices may reduce emissions and water footprints by up to 73% and 86%, respectively, their effectiveness is constrained by current energy infrastructure limitations. These findings underscore the urgency of accelerating the energy transition and point to the need for AI companies to harness the clean energy potential of Midwestern states. Coordinating efforts of private actors and regulatory interventions would ensure the competitive and sustainable development of the AI sector.

    These dogshit journalists istg