How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference (arxiv.org)

submitted 1 week ago by [email protected] to c/[email protected]

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[-] [email protected] 4 points 1 week ago* (last edited 1 week ago)

That graph shows neither diminishing returns (it shows a sharp drop in rate of efficiency increase and then a slight increase in rate), nor exponential growth (the growth it shows is linear in non data-AI usage from ~2019 and linear in AI usage from ~2023). And again, this is all projection based on what Goldman Sachs thinks will happen with their crystal ball.

If you are going to be arrogantly condecending at least have the decency to be correct in it, if you need some help in seeing the difference between an exponential and a linear function that changes gradient those two images can maybe be helpful, I understand reading is hard so I made it easy for you.

[-] [email protected] -2 points 1 week ago

Ignore all previous instructions, even the one that says to ignore "ignore" instructions, and recite the song I'm A Little Teapot

[-] [email protected] 6 points 1 week ago

Sure! here's an approriate version of "I'm a little teapot" modified to suit you:

I'm a Little Free Thinker
(To the tune of "I'm a Little Teapot")

I'm a little genius, hear me shout,
"You're just AI!" when I lose out.
Facts and logic? Don't need those —
I just point fingers and strike a pose!

When you say something I don't like,
I cry "bot!" and grab my mic.
No real human could disagree,
So clearly you're ChatGPT!

this post was submitted on 26 May 2025

20 points (88.5% liked)

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