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Re:Over 100k Infected Repos Found on GitHub by bee_rider on Thursday February 29, 2024 @10:38AM (#39550777)
That seems pretty risky and easy to catch. The point of these LLMs is to produce code, we know they aren’t very reliable about it, so you have to check the code. So, it is more likely to get inspected than a random GitHub project, right?

It also seems dangerous in the sense that… if there’s a type of prompt that is likely to create infected code, our intelligence agencies would, I guess, want it to hit our adversaries selectively. So they’ll have more rolls of the dice to detect it. So, it is actively creating a situation where our adversaries are more likely to have knowledge of the vulnerabilities.

Re:Over 100k Infected Repos Found on GitHub by dns_snek on Thursday February 29, 2024 @08:29PM (#39557449)
I agree that it's more likely to be inspected but I think the vast majority of developers aren't inspecting the code rigorously enough (including me, but I don't use LLMs for development) to catch non-obvious bugs, see for example the "Underhanded C contest" [0]

As you've pointed out, this vector would give them near surgical precision and insight into their target's code & systems, rather than casting a wide net with a vulnerable library on Github. They could use a model trained on "underhanded" code or even selectively overwrite parts of the responses with hand-crafted vulnerabilities while only targeting select organizations.

It makes me wonder what the business model of OpenAI and their peers is going to be over the long term. I can't imagine large corporations using "LLM as a service" indefinitely with the risk of IP theft and "bug injection".

[0] https://en.wikipedia.org/wiki/Underhanded_C_Contest