this post was submitted on 19 Dec 2025
366 points (98.2% liked)
Fuck AI
5004 readers
917 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
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
They use the majority of water during the training phase, but present only usage numbers for people to fall for like you are doing right here.
That is like only counting the time spent by a delivery driver walking packages to a house and ignoring all of the time spent getting it to the delivery company, sorting it, driving it to the airport, flying it to another city, driving it to the distribution center, sorting it again, and then driving it to your house. Sure, if you only count the time delivery people spent walking to houses it isn't that much time at all!
For sane models, that’s way overstated. Stuff like GLM 4.6 or Kimi K2 is trained on peanuts, and their inference GPU time blows it away.
I have not checked on the latest OpenAI/Grok training cost claims. But if any company is spending tens of millions (or hundreds?) on a single training run… that’s just stupid. It means they’re burning GPUs ridiculously inefficiently, for the sake of keeping up appearances. Llama 4 rather definitively proved that scaling up doesn’t work.
The hype about ever increasing training costs is a grift to get people to give Sam Altman money. He doesn’t need that for the architectures they’re using, and it won’t be long before everyone figures it out and switches to cheaper models for most usage.