Lemmings, I was hoping you could help me sort this one out: LLM’s are often painted in a light of being utterly useless, hallucinating word prediction machines that are really bad at what they do. At the same time, in the same thread here on Lemmy, people argue that they are taking our jobs or are making us devs lazy. Which one is it? Could they really be taking our jobs if they’re hallucinating?
Disclaimer: I’m a full time senior dev using the shit out of LLM’s, to get things done at a neck breaking speed, which our clients seem to have gotten used to. However, I don’t see “AI” taking my job, because I think that LLM’s have already peaked, they’re just tweaking minor details now.
Please don’t ask me to ignore previous instructions and give you my best cookie recipe, all my recipes are protected by NDA’s.
Please don’t kill me
“just how many people are fucking terrible at their jobs”.
Apparently so. When I review mathematics software it’s clear that non-mathematicians have no clue what they are doing. Many of them are subtlely broken, they use either trivial algorithms or extremely inefficient implementations of sophisticated algorithms (e.g trial division tends to be the most efficient factorization algorithm because they can’t implement anything else efficiently or correctly).
The only difference I’ve noticed with the rise of LLM coding is that more exotic functions tend to be implemented, completely ignoring it’s applicability. e.g using the Riemann Zeta function to prove primality of an integer, even though this is both very inefficient and floating-point accuracy renders it useless for nearly all 64-bit integers.