Science Memes

11021 readers

3370 users here now

Welcome to c/science_memes @ Mander.xyz!

A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.

Rules

Don't throw mud. Behave like an intellectual and remember the human.
Keep it rooted (on topic).
No spam.
Infographics welcome, get schooled.

This is a science community. We use the Dawkins definition of meme.

Research Committee

[email protected]

Other Mander Communities

Science and Research

Biology and Life Sciences

Physical Sciences

Humanities and Social Sciences

Practical and Applied Sciences

Memes

Miscellaneous

founded 2 years ago

MODERATORS

[email protected]

528

answer = sum(n) / len(n) (lemmy.eco.br)

submitted 4 months ago by [email protected] to c/[email protected]

119 comments fedilink hide all child comments

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

[–] [email protected] 1 points 4 months ago (2 children)

Well, lots of people blinded by hype here.. Obv it is not simply statistical machine, but imo it is something worse. Some approximation machinery that happen to work, but gobbles up energy in cost. Something only possible becauss we are not charging companies enough electricity costs, smh.

[–] [email protected] 0 points 4 months ago

Honestly if this massive energy need for AI will help accelerate modular/smaller nuclear reactors 'm all for it. With some of these insane data centers companies want to build each one will need their own power plants.

I've seen tons of articles on small/modular reactor companies but never seen any make it to the real world yet.

[–] [email protected] 0 points 4 months ago (1 children)

We're in the "computers take up entire rooms in a university to do basic calculations" stage of modern AI development. It will improve but only if we let them develop.

[–] [email protected] 3 points 4 months ago* (last edited 4 months ago) (2 children)

Moore's law died a long time ago, and AI models aren't getting any more power efficient from what I can tell.

[–] [email protected] 3 points 4 months ago

Then you haven't been paying attention. There's been huge strides in the field of small open language models which can do inference with low enough power consumption to run locally on a phone.

[–] [email protected] 1 points 4 months ago (1 children)

Yeah, and improvements will require paradigm changes. I don't see that from GPT.

[–] [email protected] 2 points 4 months ago (1 children)

GPT is not the end all be all of LLMs

[–] [email protected] 1 points 4 months ago (1 children)

Are there LLMs with different paradigms?

[–] [email protected] 1 points 4 months ago

GPT is not a paradigm it's a specific model family developed by openAI. You're thinking of the transformers architecture. Check out a project like RWKV if you want to see a unique approach.