Fuck AI

4728 readers

1204 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

222

IBM CEO says there is 'no way' spending trillions on AI data centers will pay off at today's infrastructure costs (www.businessinsider.com)

submitted 4 days ago by throws_lemy@reddthat.com to c/fuck_ai@lemmy.world

29 comments fedilink hide all child comments

IBM's CEO walked through some napkin math on data centers— and said that there's "no way" to turn a profit at current costs.

"$8 trillion of CapEx means you need roughly $800 billion of profit just to pay for the interest," Arvind Krishna told "Decoder."

Krishna was skeptical of that current tech would reach AGI, putting the likelihood between 0-1%.

you are viewing a single comment's thread
view the rest of the comments

[–] Quexotic@infosec.pub 2 points 2 days ago

OMG the mandates. We're got those too. It's ok to have the option, it's bad to have the mandate.

I'm reminded of the criticism that middle management likes AI because all MGMT has to do is summarize and report up, something AI is actually pretty good at. And they think they're smart, so they think AI should be able to do other jobs too, except they're so detached from production that they don't understand how far it falls short.