- cross-posted to:
- nottheonion@zerobytes.monster
- cross-posted to:
- nottheonion@zerobytes.monster
cross-posted from: https://zerobytes.monster/post/1072393
The original post: /r/nottheonion by /u/The_Ethics_Officer on 2024-05-25 00:48:15.
cross-posted from: https://zerobytes.monster/post/1072393
The original post: /r/nottheonion by /u/The_Ethics_Officer on 2024-05-25 00:48:15.
Oh, it’s worse than that.
Google’s “AI” results feed you things for 10 year old Reddit posts that are subtle (but sometimes, also not so subtle) bullshit.
Whatever they’re using to curate training data is evidently pretty awful at detecting shitposts.
Bold of you to assume they’re curating their training data.
Those underpaid Indians probably aren’t very good at picking up irony, even if they give a shit.
Most of the curation or fine tuning is done in low income African countries so this is little surprising. They‘re cheap labour but you can‘t expect them to reliably detect sarcasm or notice mistakes in specialized fields. They basically give a thumbs up whenever the AI sounds convincing. Of course that includes instances where it‘s confidently wrong and that appears to be most of the time with this model.
It’s not a training data issue, look up Retrieval Augmented Generation. It’s basically serving up stuff on the web and taking it as gospel.
That’s bullwhip why can’t it just think for itself