this post was submitted on 15 Dec 2025
560 points (97.3% liked)

Science Memes

17730 readers
1735 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

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

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



Research Committee

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
 
you are viewing a single comment's thread
view the rest of the comments
[–] Tollana1234567@lemmy.today 4 points 1 day ago (1 children)

ceos are so obsessed with this and thinking it can replace doctors in diagnosing people too.

[–] IsoKiero@sopuli.xyz 1 points 12 hours ago (1 children)

Maybe not replace, but some flavour of AI is already pretty good at analyzing patterns on x-ray images and stuff like that which might be significant help to doctors in the future. Obviously not the glorified autocorrect Altman is running with hype-money, but actually useful neural network things (or whatever they really are, I'm not one building them).

[–] obsoleteacct@lemmy.zip 3 points 10 hours ago

Narrow models trained on a task specific data set tend to be very good at their specialization. So protien folding, or material sciences have benefitted from machine learning, but we shouldn't mistake that for being the same thing as chatGPT.

One of the bigger problems we have with AI at the moment (in my very inexpert opionion) is that they seem to be trying to throw LLMs at every problem and swearing that it'll achieve AGI soon.

Meanwhile Alpha Fold is more closely related to stable diffusion than it is to ChatGPT.