Ask Lemmy
A Fediverse community for open-ended, thought provoking questions
Rules: (interactive)
1) Be nice and; have fun
Doxxing, trolling, sealioning, racism, and toxicity are not welcomed in AskLemmy. Remember what your mother said: if you can't say something nice, don't say anything at all. In addition, the site-wide Lemmy.world terms of service also apply here. Please familiarize yourself with them
2) All posts must end with a '?'
This is sort of like Jeopardy. Please phrase all post titles in the form of a proper question ending with ?
3) No spam
Please do not flood the community with nonsense. Actual suspected spammers will be banned on site. No astroturfing.
4) NSFW is okay, within reason
Just remember to tag posts with either a content warning or a [NSFW] tag. Overtly sexual posts are not allowed, please direct them to either [email protected] or [email protected].
NSFW comments should be restricted to posts tagged [NSFW].
5) This is not a support community.
It is not a place for 'how do I?', type questions.
If you have any questions regarding the site itself or would like to report a community, please direct them to Lemmy.world Support or email [email protected]. For other questions check our partnered communities list, or use the search function.
6) No US Politics.
Please don't post about current US Politics. If you need to do this, try [email protected] or [email protected]
Reminder: The terms of service apply here too.
Partnered Communities:
Logo design credit goes to: tubbadu
view the rest of the comments
If "they have to use good data and actually fact check what they say to people" kills "all machine leaning models" then it's a death they deserve.
The fact is that you can do the above, it's just much, much harder (you have to work with data from trusted sources), much slower (you have to actually validate that data), and way less profitable (your AI will be able to reply to way less questions) then pretending to be the "answer to everything machine."
The way generative AI works means no matter how good the data it's still gonna bullshit and lie, it won't "know" if it knows something or not. It's a chaotic process, no ML algorithm has ever produced 100% correct results.
That's how they work now, trained with bad data and designed to always answer with some kind of positive response.
They absolutely can be trained on actual data, trained to give less confident answers, and have an error checking process run on their output after they formulate an answer.
There's no such thing as perfect data. Especially if there's even the slightest bit of subjectivity involved.
Even less existent is complete data.
Perfect? Who said anything about perfect data? I said actually fact checked data. You keep movimg the bar on what possible as an excuse to not even try.
They could indeed build models that worked on actual data from expert sources, and then have their agents check those sources for more correct info when they create an answer. They don't want to, for all the same reasons I've already stated.
It's possible, it does not "doom" LLM, it just massively increases its accuracy and actual utility at the cost of money, effort and killing the VC hype cycle.
The original thread poster (OTP?) implied perfection when they emphasized the "will never" part, and I was responding to that. For that matter it also excludes actual brains.