“* People ask LLMs to write code
LLMs recommend imports that don’t actually exist
Attackers work out what these imports’ names are, and create & upload them with malicious payloads
People using LLM-written code then auto-add malware themselves”
“* People ask LLMs to write code
LLMs recommend imports that don’t actually exist
Attackers work out what these imports’ names are, and create & upload them with malicious payloads
People using LLM-written code then auto-add malware themselves”
ChatGPT and similar LLMs don’t really “know” anything. They can only predict what the answer should look like. This means that they can’t be trusted for much and their answers should be reviewed before used, because anything they produce will sound correct by default.
and the devs copy+pasting code from it probably are aware of that it doesn’t know anything, and that it is likely synthesizing something based on StackOverflow, which they used to happily copy+paste from a few months ago.
If the libraries ChatGPT suggests work ~80% of the time, this leaves an opportunity for someone to provide a “solution” the other 20%.
This is pretty much my experience. It did a pretty good job with the grunt work of setting up a Qt UI in python, but something like 5/20 imports were wrong.