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Generative AI’s environmental costs are soaring — and mostly secret

Generative AI @mander.xyz

Generative AI’s environmental costs are soaring — and mostly secret

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News @lemmy.world

Generative AI’s environmental costs are soaring — and mostly secret

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9 comments
  • The costs are significant and growing but we should put some things into perspective to really tackle the problem efficiently. As an individual, heavy usage of these tools (something like 1000 images generated) is still roughly the same level of emissions as driving across town and generating text is pretty much negligible in all scenarios.

    Where we really need to be concerned is video generation (which could easily blow current energy usage out of the water) and water usage in these massive data centers. However, most of the current research on the subject does a pretty poor job of separating water usage for "AI" and general usage. This is why the next step is enforcing transparency so we can get a picture of how things are shaping up as this technology develops.

    All that said, there are some pretty low hanging fruit when it comes to improving efficiency. A lot of these models are essentially first-passes on a project and efficiency will improve simply as they start to target edge and local models. Similarly, these water cooling systems are predicated on some fairly wasteful ideas, namely that cool fresh water is abundant and does not warrant preservation. Simply factoring in that this is clearly no longer the case will go a long way towards reducing that usage.

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