Emit an incessant low frequency hum.
this post was submitted on 23 Aug 2026
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Fuck AI
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A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.
AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.
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The city councils who signed NDAs and probably got paid handsomely? They don’t give a single FUCK about you.
This is how the fascists win; wreck the economy (preferably in their favor only so they can build up a war chest) and then pay off the little guys in power to extend the police state.
You know how you couldn’t used to be able to get US Government Clearance if you had large debts? This is why. Because men will do horrific shit if it means walking away with a clean future for themselves. They will turn their backs on you for their little girl. Shit, I know I probably would if it was looking that dire.
So, make it that dire for everyone, then offer the people you need a way out. “Hey don’t tell anyone but Trump wants us to bulldoze your village and drain the aquifer to install this data center as part of his ‘Replace personal Computers with Dumb Terminals to the Cloud to Get Around the 4th Amendment’ Executive Order. But you will get a house in the Hamptons and your kids get a free ride to Harvard. Cmon, you wanna make it through this, right?”
the govorners also allow it because they get the same, but better deal. and AI datacenters would be running surveillance tech, like flock, axon and palantir.
Burn a large amount of fossil fuels?
*bribe all levels of government
Burn my body down?
A lot of local city councils are paid for your existence. Which I guess still kind of works if you're a human bean that lives in the city that is counselled.
The "each answer evaporates a glass of water" claim originated in a paper that never got passed into peer review, and is about calculating the costs of building, powering (as in, running a power plant) and running a data center with an open water cooling system (rather than recycling the water).
It also only measured the training of an LLM (the most processor hungry part) - then assumes that rate of water use as the base line for all subsequent questions being asked (eg. If it takes 6 seconds to respond to a question it was really re-building, re-powering, re-running the datacenter whilst re-training the model for 6-seconds), rather than just traversing a pre-trained branch and regurgitating the info - which is what actually happens.
IRL the work for each model is only trained once per new release. This is why you can download and run models on your home computer.... And obviously asking a locally run AI doesn't evaporate a glass of water each time (you'd feel the heat from your computer if that were true).
So the 'water per question' claim is a myth.
....and this is not to say that I think LLMs are a good technology, or free from environmental concerns (the training, chip manufacturing and data center construction, let alone the ponzi scheme of investment, and wealth disparity... And easily corrupted governments are all concerns)... Just that this one claim about water is bogus once the model has been trained.
Most water coolers compress and recycle water (using refrigerant chemicals). Personally I'm fine with water in our atmosphere, it's the other chemicals (methane, carbons) that I'm concerned about, as they're bad for climate change.