this post was submitted on 15 Mar 2026
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Yes, obviously AI is emitting way too much. It shouldn't even be producing 0.2% of global emissions, let alone 2%. My main grievance is that no one ever talks about improving industrial and agricultural processes even though they produce around 29% of emissions and 20% of emissions respectively.

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[–] Ohmmy@lemmy.dbzer0.com 0 points 13 hours ago (1 children)

The GWP value depends on how the gas concentration decays over time in the atmosphere. This is often not precisely known and hence the values should not be considered exact. For this reason when quoting a GWP it is important to give a reference to the calculation. Commonly, a time scale of 100 years is used by regulators.

So it's an educated guess that has lots of flaws just like I said. GHG emissions comparisons between output methods is ridiculous. Because again, water is a GHG emission.

[–] SomeoneSomewhere@lemmy.nz 0 points 12 hours ago (1 children)

So your alternative is what? Just say a tonne is a tonne?

It's adequate for the purpose at hand.

[–] Ohmmy@lemmy.dbzer0.com 1 points 2 hours ago

Not group up all emissions and compare them for the sake of clicks. Look at the original post, where agriculture and livestock are being set as significantly worse than AI data center emissions in 2021. These two aren't really to be compared, they're both problems and need solutions but it's not a pie chart, you don't have to pick a slice and not the other.

It's not adequate, it is a tool for shit clickbait articles, memes, and discourse when the actual problem is GHG production slowed/stopped as efficiently as possible. Banning private jets for instance is fairly easy to do, it has no massive drawbacks other than the rich people being upset. Not building more datacenters for a while, not really difficult, adding infrastructure is the hard part not pausing more. As opposed to this worthless "NOOOO AGRICULTURE IS WORSE THAN AI BECAUSE MY ONE GRAPH WITH MISLEADING DATA"