this post was submitted on 30 May 2024
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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 Recent data from the UK shows that the country’s outdated electricity network is holding back affordable housing projects.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.

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[–] dinckelman@lemmy.world 10 points 6 months ago (4 children)

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

[–] explodicle@sh.itjust.works 4 points 6 months ago

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.

[–] QuadratureSurfer@lemmy.world 2 points 6 months ago (1 children)

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.

[–] LainTrain@lemmy.dbzer0.com 0 points 5 months ago

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.

[–] masterspace@lemmy.ca -2 points 6 months ago (1 children)

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.

[–] LainTrain@lemmy.dbzer0.com 0 points 5 months ago

AI bad though!