this post was submitted on 22 Mar 2024
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As a starting point, the burning of fossil fuels, and to a lesser extent deforestation and release of methane are responsible for the warming in recent decades: Graph of temperature as observed with significant warming, and simulated without added greenhouse gases and other anthropogentic changes, which shows no significant warming

How much each change to the atmosphere has warmed the world: IPCC AR6 Figure 2 - Thee bar charts: first chart: how much each gas has warmed the world. About 1C of total warming. Second chart: about 1.5C of total warming from well-mixed greenhouse gases, offset by 0.4C of cooling from aerosols and negligible influence from changes to solar output, volcanoes, and internal variability. Third chart: about 1.25C of warming from CO2, 0.5C from methane, and a bunch more in small quantities from other gases. About 0.5C of cooling with large error bars from SO2.

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AI’s excessive water consumption threatens to drown out its environmental contributions, researchers say (theconversation.com)
submitted 7 months ago by 0x815@feddit.de to c/climate@slrpnk.net
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Cross-posted from: https://feddit.de/post/10267315

Initial research shows that AI has a significant water footprint. It uses water both for cooling the servers that power its computations and for producing the energy it consumes. As AI becomes more integrated into our societies, its water footprint will inevitably grow.

The growth of ChatGPT and similar AI models has been hailed as “the new Google.” But while a single Google search requires half a millilitre of water in energy, ChatGPT consumes 500 millilitres of water for every five to 50 prompts.

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[–] NABDad@lemmy.world 1 points 7 months ago (1 children)

You may not be fully aware of where AI is being used. The LLMs get a lot of press for both being impressive and at the same time not living up to expectations. However, there are other AI efforts that are having real results.

I support radiology imaging at a large U.S. health system, and there are several different AI systems being tested and deployed that assist with diagnosis. It may not get a lot of mainstream articles published, but it allows doctors to treat patients more efficiently, which has the potential to both reduce costs and increase access to care.

I'm sure there are similar efforts in every other industry.

[–] 0x815@feddit.de 1 points 7 months ago

@NABDad

Yes, I know. I don't say it's all bad. It improves human decision making in a lot of things. What I meant is that it has been doing also a lot of harm in the last few years, e.g., in the U.S. where insurer UnitedHealth allegedly used an AI model with 90% error rate to deny care, or in The Netherlands and in France, just to name examples. And I'm afraid this is just the tip of the iceberg

But I'd agree that it's not the technologies, it's the way we humans use them.