▲ 502 ▼ We have to stop ignoring AI’s hallucination problem (www.theverge.com) submitted 2 years ago by misk@sopuli.xyz to c/technology@lemmy.world 204 comments fedilink hide all child comments
[–] noodlejetski@lemm.ee 54 points 2 years ago (4 children) Their real power is their ability to understand language and context. ...they do exactly none of that. permalink fedilink source parent hideshow 4 child comments replies: [–] breakingcups@lemmy.world 24 points 2 years ago (2 children) No, but they approximate it. Which is fine for most use cases the person you're responding to described. permalink fedilink source parent hideshow 2 child comments replies: [–] FarceOfWill@infosec.pub 20 points 2 years ago (1 child) They're really, really bad at context. The main failure case isn't making things up, it's having text or image in part of the result not work right with text or image in another part because they can't even manage context across their own replies. See images with three hands, where bow strings mysteriously vanish etc. permalink fedilink source parent hideshow 1 child comment replies: [–] FierySpectre@lemmy.world -1 points 2 years ago New models are like really good at context, the amount of input that can be given to them has exploded (fairly) recently... So you can give whole datasets or books as context and ask questions about them. permalink fedilink source parent [–] Lmaydev@programming.dev 0 points 2 years ago They do it much better than anything you can hard code currently. permalink fedilink source parent
[–] breakingcups@lemmy.world 24 points 2 years ago (2 children) No, but they approximate it. Which is fine for most use cases the person you're responding to described. permalink fedilink source parent hideshow 2 child comments replies: [–] FarceOfWill@infosec.pub 20 points 2 years ago (1 child) They're really, really bad at context. The main failure case isn't making things up, it's having text or image in part of the result not work right with text or image in another part because they can't even manage context across their own replies. See images with three hands, where bow strings mysteriously vanish etc. permalink fedilink source parent hideshow 1 child comment replies: [–] FierySpectre@lemmy.world -1 points 2 years ago New models are like really good at context, the amount of input that can be given to them has exploded (fairly) recently... So you can give whole datasets or books as context and ask questions about them. permalink fedilink source parent
[–] FarceOfWill@infosec.pub 20 points 2 years ago (1 child) They're really, really bad at context. The main failure case isn't making things up, it's having text or image in part of the result not work right with text or image in another part because they can't even manage context across their own replies. See images with three hands, where bow strings mysteriously vanish etc. permalink fedilink source parent hideshow 1 child comment replies: [–] FierySpectre@lemmy.world -1 points 2 years ago New models are like really good at context, the amount of input that can be given to them has exploded (fairly) recently... So you can give whole datasets or books as context and ask questions about them. permalink fedilink source parent
[–] FierySpectre@lemmy.world -1 points 2 years ago New models are like really good at context, the amount of input that can be given to them has exploded (fairly) recently... So you can give whole datasets or books as context and ask questions about them. permalink fedilink source parent
[–] Lmaydev@programming.dev 0 points 2 years ago They do it much better than anything you can hard code currently. permalink fedilink source parent