this post was submitted on 10 Feb 2026
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Fuck AI

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AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.

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I always hear the ai companies clamoring for gigawatts of "compute" so they can finally "grow" due to the immense "demand". But somehow people can just start up clawbot and burn through millions of tokens just fine, I never hear about anyone being denied access to LLM usage. The same for businesses, they're being sold ai crap left and right and there is never a bottleneck or a queue. In fact, there seems to be plenty of "compute" to go around, far more than needed, really.

Has this ever been pointed out to the ai CEOs? Has this been discussed or explained?

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[–] antsu@discuss.tchncs.de 27 points 4 days ago

I believe the heaviest demand is not in executing the AI models (these can run on a midrange desktop right now), but in training and re-training the models constantly with fresh new content stolen from us meatbags.

[–] technocrit@lemmy.dbzer0.com 3 points 3 days ago* (last edited 3 days ago) (2 children)

It's a fairly common theory that demand will never meet "expectations". I think the most famous proponent is The Big Short guy:

"Tech giants like Microsoft, which are pouring billions into chips, data centers, and infrastructure may find that returns do not justify the enormous costs." ... He argues that markets are focusing too much on whether AI is a bubble rather than asking the more important question, Can all this spending actually produce measurable returns?

(My rant: The "future demand" is part of the grift. It's a boondoggle. These grifters are going to grab as much cash as possible while saying whatever keeps the gravy train rolling. When it all crashes, they'll be fine, maybe even bailed out, because this is legal and normal under capitalism.)

[–] jacksilver@lemmy.world 2 points 3 days ago

Aren't those effectively the same thing. If the hardware can provide a return, then it's not a bubble.

[–] captainlezbian@lemmy.world 1 points 3 days ago

That was a surprisingly interesting Wikipedia article

[–] RoidingOldMan@lemmy.world 4 points 4 days ago

It’s a quickly growing demand. It’s driving up electricity prices by itself.

Two factors play into this. 1) This hype has been around long enough to have planned, built, and put online new data centers. So the bottlenecks some providers had in the early days have widened already. And 2) they need capacity for training more than using the models.