this post was submitted on 31 Aug 2024
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Programming
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I don't care if the solution is AI based or not, indeed.
I guess I thought it like that because AI is quite fit for the task of understanding what might be the purpose of code in a few seconds/minutes without you having to review it. I don't know how some non-AI tool could be better for such task.
Edit: so many people against the idea. Have you guys used GitHub Copilot? It understands the context of your repo to help you write the next thing... Right? Well, what if you apply the same idea to simply review for malicious/unexpected behaviour on third party repos? Doesn't seem too weird for me.
Disagree.
ClamAV has been filling a somewhat similar use case for a long time, and I don't think I've ever heard anyone call it "AI".
I guess bayesian filters like email providers use to filter spam could be considered "AI" (though old-school AI, not the kind of stuff that's such a bubble now) and may possibly be applicable to your use case.
Bayesian filters are statistical, they have nothing to do with machine learning.
If you're talking about naive bayes filtering, it most definitely is an ML model. Modern spam filters use more complex ML models (or at least I know Yahoo Mail used to ~15 years ago, because I saw a lecture where John Langford talked a little bit about it). Statistical ML is an "AI" field. Stuff like anomaly detection are also usually ML models.