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subroutine 4 hours ago

Are you asking if the 10 seconds it takes AI to generate an image is more costly to the environment than a commissioned graphics artist using a laptop for 5-6 hours, or a painter who uses physical media sourced from all over the world?

bayindirh 3 hours ago | parent | next [-]

In short, yes.

A modern laptop is running almost fanless, like a 486 from the days of yore.

A single H200 pumps out 700W continuously in a data center, and you run thousands of them.

Also, don't forget the training and fine tuning runs required for the models.

Mass transportation / global logistics can be very efficient and cheap.

Before the pandemic, it was cheaper to import fresh tomatoes from half-world away rather than growing them locally in some cases. A single container of painting supplies is nothing in the grand scheme of things, esp. when compared with what data centers are consuming and emitting.

ToValueFunfetti 3 hours ago | parent | next [-]

This is a plainly dishonest comparison. A single H200 does not need to run continuously for you to generate a dozen pictures. And then you immediately pivot to comparing the paint usage against "the grand scheme of things"- 700W is nothing in the grand scheme of things.

cpill 3 hours ago | parent | prev [-]

these are unfair comparisons. it's not just a single laptop running all day it's all the graphic designer laptops that get replaced. it's not a single container of painting supplies it's all off them, (which are toxic by the way).

so if power were plentiful and environmental you'd be onboard with it?

dilDDoS 3 hours ago | parent | prev [-]

Cheaper/faster tech increases overall consumption though. Without the friction of commissioning a graphics artist to design something, a user can generate thousands of images (and iterate on those images multiple times to achieve what they want), resulting in way more images overall.

I'm not really well versed on the environmental cost, more just (neutrally) pointing out that comparing a single 10s image to a 5-6 hour commission ignores the fact that the majority of these images probably would never have existed in the first place without AI.

runarberg 3 hours ago | parent [-]

Also, ignoring training when talking about the environmental costs is bad faith. Without training this image would not exist, and if nobody generating images like these, the training would not happen. So we should really ask, the 10 seconds it took for inference, plus the weeks or months of high intensity compute it took to train the model.

ToValueFunfetti 2 hours ago | parent [-]

You'd want to compare against the fraction of training attributable to the image