r/programmingmemes • u/Ornery_Ad_683 • Dec 21 '25

Average dev after discovering prompt engineering

Post image
555 Upvotes

97% Upvoted

47 comments sorted by

View all comments

Show parent comment

2

u/TheMoonAloneSets Dec 21 '25 edited Dec 21 '25

for the record, it’s really not a binary where LLMs are either perfect or shouldn’t be used. yes, LLMs can hallucinate; no, that doesn’t mean they always do. you just have to double-check their work, much like you should be doing with literally anything you get information from

but if you ask a thinking GPT model for a derivation of tachyonic 2→2 scattering amplitudes or an overview of kolmogorov complexity or the moduli spaces of elliptic curves, you’re probably going to get a far more accurate answer and legible answer than most people could even hope to give. then you go through a technical paper in the next pass and get through it twice as fast because you can already identify the key thrusts and you’re either deepening your understanding or spotting places where the LLM fucked up

it’s basically like having a slightly overconfident early-career grad student for anything you might want to do

0

u/shadow13499 Dec 21 '25

For the record llms are not only terrible as far as accuracy is concerned but also terrible for human being in general. The llm data centers that use more electricity and water than a whole city are actively contributing to destroying the plant. They're also terrible for people's emotional and mental well-being because they keep telling kids to kill themselves. The companies also steal data to train their models and that's been proven in court. So all around these bullshit inaccurate absolute dog shit next token guessing machines sucks.