They deregulated shower heads just in time.
A Boring Dystopia
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Here's the report this came from https://www.austinchronicle.com/news/2025-07-25/texas-is-still-in-drought-and-ai-data-centers-are-quietly-guzzling-up-water/
How much time before someone figures these infrastructures make very good targets for vandalism? I risk I will see datacenters destroyed by mobs and other actors before I die.
It’s not vandalism, it’s direct action. Or sabotage, if you consider this to be a time of war (which it undoubtedly is — a class war). Don’t use the enemy’s language against ourselves.
Why aren’t they building these things underground or repurposing old mines in areas where geothermal is plentiful for power and aquifers are stable, instead of in water-poor, temperature extreme places like Texas and KY? …Oh right, poverty and red voters. Better to exploit and damage then have some upfront cost and long-term stability. I forget.
Building anything like this is seen as a jobs creator. Data center companies then pass the proposal around to municipalities and ask them who want jobs. These places then bend over backwards to offer tax incentives, fast permitting, etc. with no regard to whether their location can actually support the building.
So of course they get built in the most corrupt places.
I'm not joking when i say that not using ai is mostly improving my reasoning. Probably, each time I used it, i had to subconsciously offset some thinking to that brainless machine. I'm fine the way I am, i know it's being propped up as some ultimate solution but my creative output improved too.
We're probably offsetting some thinking and memorisation to a computer with a complete lack of experience of the real world, and it's somehow being presented as acceptable. I do n't think it's fine.
Don’t feed the people but we feed the machines
The machines make money. The people cost money.
It's hilarious that so many people see Americans as free people
Land of the fee and the home of the slave.
Actual interesting question:
How much energy and resources would we save by simply slowing down AI response time? A lot of the time you get an instant response from an LLM, and sure, it looks impressive, but most of the time you don't need it that urgently.
The majority of energy consumed is for training the AI models, not providing output from those models.
This means the resource consumption is not tied to usage and prompts. Also it means resource consumption to train models is temporary, relative to the model.
My country is int he middle of a data center boom, fuelled by the usual royal and political, uh, inputs. We also have seasonal droughts, which often result in water rationing and angry people upset at the mismanagement of our resources. Wonder which will give way first.