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I’m someone who use LLM, including Claude Code a lot.
But come on, this could be a tiny script that do the same, write it with claude code if you dont want to write it, instead of having claude code run each time, you’ll be deterministic this way !Yeah this should just be a standard GitHub action. It’s a waste of energy to have an LLM do this over and over.
I see this trend happening a lot lately, where instead of getting the LLM to write code that does a thing, the LLM is repeatedly asked to do the thing, which leads to it just writing the same or very nearly the same code over and over.
So this is Jenkins except it guzzles water and ruins the lives of people near data centers?
Not every datacenter is like elon datacenters.
Sure, some of them are much bigger and more environmentally destructive.
Not at all. Bigger datacenter usually use lower carbon energy source, try to lower energy spent for cooling and try to recycle the heat.
New datacenter reuse more and more the heat they generate:
https://blog.equinix.com/blog/2024/06/05/what-is-data-center-heat-export-and-how-does-it-work/Real water polluter are PFAS producer, not datacenters.
Go explain to these people why “bigger DCs are actually better”: https://youtu.be/DGjj7wDYaiI
Here’s the MIT Press detailing the ridiculous carbon and water impacts of data centers: https://thereader.mitpress.mit.edu/the-staggering-ecological-impacts-of-computation-and-the-cloud/
“AI” is not worth this.
AI is not the whole cloud, it’s a fraction of the cloud.
The MIT Press article is from 2022, citing 2019 data. Datacenter tech and heat reuse extremely intensified the last years, so this data is clearly out of date.Go explain to these people why “bigger DCs are actually better”:
Tell me where there is any proof this is meta fault ? Because they are near the datacenter ? Do you have any idea of the amount of water a datacenter consume ?
AI is not the whole cloud, it’s a fraction of the cloud
And yet it uses so much more energy per capita. This is not like a secret, dude.
Do you have any idea of the amount of water a datacenter consume ?
No. Nobody has exact figures because there is a mountain of intentional obfuscation hiding it. We know that it is a tremendous amount of water because we can estimate and we can see the data of towns literally going into extreme droughts right next to data centers, but is is suspiciously difficult to get actual numbers. This should tell you a lot.
https://www.datacenterdynamics.com/en/analysis/data-center-water-usage-remains-hidden/
Tell me where there is any proof this is meta fault
Did… did you not actually watch the video? The video very clearly answers this. Like, multiple times.
The video very clearly answers this. Like, multiple times.
No, they made affirmation, that’s not a proof.
For the first location, they say the loss of water pression AND the sediments are due to the datacenter.
They are getting their water from a well, if a well runs out, you get more sediments.
Is this your “clear answers” ?We know that it is a tremendous amount of water because we can estimate and we can see the data of towns literally going into extreme droughts right next to data centers.
If this come from your video again, i again doubt your statements.
Datacenters dont make water magically disapear, it have to go somewhere.
You would see a release pipe, so the water is restituted, or vapor cloud, which should be very visible.
But we dont see any vapor cloud.
this seems overengineered to me - it’s easy enough to have fully automated builds, deployments and releases already. you can even have ai sketch your github actions or similar config. anything beyond that is simply a downgrade or reinventing the wheel. a git commit hook might be just enough
