this post was submitted on 10 Feb 2026
19 points (100.0% liked)

Fuck AI

5502 readers
841 users here now

"We did it, Patrick! We made a technological breakthrough!"

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.

founded 2 years ago
MODERATORS
VerbFlow@lemmy.world
MrMcGasion@lemmy.world
TootSweet@lemmy.world
BigMikeInAustin@lemmy.world
cynar@lemmy.world
drmeanfeel@lemmy.world
pavnilschanda@lemmy.world
CriticalMedicine@lemmy.world
WonderfulWanderer@lemmy.world
Communist@lemmy.ml
eatCasserole@lemmy.world
SpaceNoodle@lemmy.world
NutWrench@lemmy.world
Soup@lemmy.cafe
iAvicenna@lemmy.world
Tinks@lemmy.world
wizblizz@lemmy.world
corus_kt@lemmy.world
TrickDacy@lemmy.world
andrew_bidlaw@sh.itjust.works
MeDuViNoX@sh.itjust.works
33550336@lemmy.world
Nougat@fedia.io
Lost_My_Mind@lemmy.world
Sterile_Technique@lemmy.world
Quill7513@slrpnk.net
glowing_hans@sopuli.xyz
e8d79@discuss.tchncs.de
ThefuzzyFurryComrade@pawb.social
19
Is there really demand for more "compute"? (discuss.tchncs.de)
submitted 4 hours ago by cronenthal@discuss.tchncs.de to c/fuck_ai@lemmy.world
3 comments fedilink hide all child comments
 

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?

you are viewing a single comment's thread
view the rest of the comments
[–] FriendOfDeSoto@startrek.website 1 points 2 hours ago

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.