this post was submitted on 12 Sep 2023
153 points (100.0% liked)
Technology
37573 readers
654 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
It's obviously not "just" luck. We know LLMs learn a variety of semantic models of varying degrees of correctness. It's just that no individual (inner) model is really that great, and most of them are bad. LLMs aren't reliable or predictable (enough) to constitute a human-trustable source of information, but they're not pure gibberish generators.
No, it's true, "luck" might be overstating it. There's a good chance most of what it says is as accurate as the corpus it was trained on. That doesn't personally make me very confident, but ymmv.