cross-posted from: https://piefed.world/c/shit/p/1256068/ai-haters-be-like
Lemmy is the WRONG site for pro-AI sentiment, pal.
Submitted 2 weeks ago by beep@piefed.world to [deleted]
https://i.ibb.co/k2j3fCxD/1000033330.jpg
cross-posted from: https://piefed.world/c/shit/p/1256068/ai-haters-be-like
Lemmy is the WRONG site for pro-AI sentiment, pal.
Lemmy is not a site….
shut up, nerd
pollutes and destroys natural resources
“that’s fine tho, as long as it isn’t an economic bubble!”
Genuinenly good things don’t require cherrypicking through the shit to find the good.
Oh wow, a three month period backed up by data.
Hey bud, question for ya, how long did it take the subprime mortgage crisis to collapse?
It sucks that Mutahar helped me switch to Linux, and now his channel is unwatchable for me. Even with the anti-clickbait extensions
We love Muta
EffortlessGrace@piefed.social 2 weeks ago
Deep neural networks (a narrow subset of “AI” algorithms) are here to stay, and there are massive gains in the sciences to ve nade with the nature of how they make predictions based on a corpus of training data.
There is most definitely an economic bubble due to the revolving investments vendors make into each other to prop up the illusion that “line go brrrrr forever”.
Both things can be, and I argue are, true simultaneously.
vapeloki@lemmy.world 2 weeks ago
Platform and systems Architect for a german managed Services provider here.
I second that. Currently, I am working on replacing external AI providers with 150W AMD hardware. Most of our teams used LLMs for stuff where classical ML is far more reliable and faster.
The few places where LLMs are needed, we still can do locally.
So, instead of spending millions in some tokens that take gigawatt of Power, we estimate that our 5k employees will need a total power of 5kw across Europe. We have 100x the solar distributed across our locations.
We conflate LLM or Diffusion with AI here, because most had never contact with other kinds of AI.
EffortlessGrace@piefed.social 2 weeks ago
I began my DNN career path researching cancerous tissue for medical diagnostic imaging which is a computer vision problem. I think it would surprise a lot of people how power efficient you can make DNNs when it comes to other tasks besides predicting text or generating media. It pleases me greatly to see other peers in my field share my prognosis about language models compared to other DNN algorithms for different modalities