this post was submitted on 31 Aug 2024
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I'm trying to feel more comfortable using random GitHub projects, basically.

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[–] [email protected] 13 points 2 months ago* (last edited 2 months ago) (1 children)

AI is quite fit for the task of understanding what might be the purpose of code

Disagree.

I don’t know how some non-AI tool could be better for such task.

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.

[–] [email protected] 0 points 2 months ago (2 children)

Bayesian filters are statistical, they have nothing to do with machine learning.

[–] [email protected] 6 points 2 months ago* (last edited 2 months ago)

The A* algorithm doesn't have anything to do with machine learning either, but the first time I ever learned about it was in a computer science class in college called something like "Introduction To Artificial Intelligence".

But it's very much the case that the term "AI" has a very different meaning now-a-days during this cringy bubble than it did back in 2004 or 2005 or whenever that was.

Today "AI" is basically synonymous with "BS". Lol.

[–] [email protected] 6 points 2 months ago

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.