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submitted 20 hours ago by muelltonne@feddit.org to c/buyfromeu@feddit.org
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[-] frightful_hobgoblin@lemmy.ml -1 points 20 hours ago

Training GPTs takes a lot of water and energy, running them doesn't take massive amounts.

[-] MotoAsh@piefed.social 6 points 19 hours ago* (last edited 19 hours ago)

Yes it does. "Not as much as training" is a stratospheric bar...

You may as well say, "my car doesn't use gas because American semis use way more". They both still use a resource we should be more careful with.

[-] Europellinore@europe.pub 1 points 15 hours ago

I recently tried to calculate this for my company. I wouldn't call it negligible, but the impact of all video calls turned out to be much greater than the impact of AI.

[-] MotoAsh@piefed.social 1 points 13 hours ago* (last edited 13 hours ago)

Of course that's going to produce a heavier load on your part of the infrastructure... That stuff is running locally.

Also, it's pretty easy to have effective calls and turn off the damn video. Most people don't need to stare at everyone staring at their computers.

[-] frightful_hobgoblin@lemmy.ml -1 points 19 hours ago
[-] lime@feddit.nu 2 points 18 hours ago* (last edited 18 hours ago)

that's old data. inference uses more than training now, since usage has gone up significantly. they traded places in march or april 2025.

[-] elvith@feddit.org 2 points 15 hours ago

That's the problem of reference. Your individual queries might not consume much - especially when compared to the training - but the more people use it, the more the whole consumption is. At some point running those models will consume more than training them

[-] lime@feddit.nu 2 points 7 hours ago

we passed that point last year, yes.

[-] MotoAsh@piefed.social 1 points 18 hours ago

That does less than nothing to disprove my point...

this post was submitted on 04 Feb 2026
31 points (94.3% liked)

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