this post was submitted on 05 Feb 2024
202 points (84.1% liked)
Asklemmy
44004 readers
390 users here now
A loosely moderated place to ask open-ended questions
If your post meets the following criteria, it's welcome here!
- Open-ended question
- Not offensive: at this point, we do not have the bandwidth to moderate overtly political discussions. Assume best intent and be excellent to each other.
- Not regarding using or support for Lemmy: context, see the list of support communities and tools for finding communities below
- Not ad nauseam inducing: please make sure it is a question that would be new to most members
- An actual topic of discussion
Looking for support?
Looking for a community?
- Lemmyverse: community search
- sub.rehab: maps old subreddits to fediverse options, marks official as such
- [email protected]: a community for finding communities
~Icon~ ~by~ ~@Double_[email protected]~
founded 5 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I’m a 50+ year old IT guy who started out as a c/c++ programmer in the 90’s and I’m not that worried.
The thing is, all this talk about AI isn’t very accurate. There is a huge difference in the LLM stuff that ChatGPT etc. are built on and true AI. These LLM’s are only as good as the data fed into them. The adage “garbage in, garbage out” comes to mind. Anybody that blindly relies on them is a fool. Just ask the lawyer that used ChatGPT to write a legal brief. The “AI” made up references to non-existent cases that looked and sounded legitimate, and the lawyer didn’t bother to check for accuracy. He filed the brief and it was the judge that discovered the brief was a work of fiction.
Now I know there’s a huge difference between programming and the law, but there are still a lot of similarities here. An AI generated program is only going to be as good as the samples provided to it, and you’re probably want a human to review that code to ensure it’s truly doing what you want, at the very least.
I also have concern that programming LLMs could be targeted by scammers and the like. Train the LLM to harvest sensitive information and obfuscate the code that does it so that it’s difficult for a human to spot the malicious code without a highly detailed analysis of the generated code. That’s another reason to want to know exactly what the LLM is trained on.