this post was submitted on 31 Aug 2024
31 points (73.8% liked)
Programming
17423 readers
25 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
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 possibly 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.
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.