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submitted 1 month ago by yogthos@lemmy.ml to c/technology@lemmy.ml
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[-] queermunist@lemmy.ml 25 points 1 month ago

The water isn't really consumed. It's not like the servers are digesting it or boiling it away or something. Doesn't the water just cycle through the system and then come out warm on the other side? There's no reason for that water to go to waste!

Seems like these data centers are just dumping perfectly potable drinking water because it's slightly cheaper than having their own water supply and cooling ponds.

[-] yogthos@lemmy.ml 11 points 1 month ago

That's a good point, there's no reason this couldn't be designed as a closed cycle system.

[-] desktop_user@lemmy.blahaj.zone 2 points 1 month ago

it generally gets evaporated because evaporative cooling is efficient and water is cheap.

[-] queermunist@lemmy.ml 4 points 1 month ago

There'd be billowing clouds of steam coming from data centers if that were the case.

Pretty sure the water just goes through coolant piping and comes out the other side warmer, because water is a good heat sink.

[-] sunzu2@thebrainbin.org 8 points 1 month ago

Remember folks these clowns play lower rate than you.

When they should he paying a premium

[-] gotrandom@lemmy.ml 7 points 1 month ago

I’ll be honest, chatGPT has helped a fair bit in my limited coding knowledge when needing to write VBS scripts for Excel or Batch Files for initial system config/app installs at work.

[-] sunzu2@thebrainbin.org 6 points 1 month ago

It is a tool like any other. If you know how to use it, you can get benefits.

Calling it AI is bullshit though. LLMs are great if you are trying learn or you need quick feedback and you know the right answer.

[-] gotrandom@lemmy.ml 1 points 1 month ago

Fure sure, calling it “AI” in its current form is just marketing

[-] davel@lemmy.ml 7 points 1 month ago

This is a terrible metric. If kWh is too abstract for people, maybe put it in terms of how much water that energy could boil, starting from room temperature at sea level.

[-] yogthos@lemmy.ml 1 points 1 month ago

For sure, it's a lot more relatable in these terms.

[-] JoMiran@lemmy.ml 3 points 1 month ago

So many resources spent on services that are objectively not great. I have yet to see any output from Gemini or ChatGPT that sells me on the service.

[-] desktop_user@lemmy.blahaj.zone 0 points 1 month ago

not every service is for everyone. LLMs are useful for creating filler, answering common, but hard to phrase questions, and creating large amounts of text that is readable but meaningless for filling assets in a video game.

this post was submitted on 20 Sep 2024
47 points (94.3% liked)

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