Ask Lemmy
A Fediverse community for open-ended, thought provoking questions
Please don't post about US Politics. If you need to do this, try [email protected]
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.
Reminder: The terms of service apply here too.
Partnered Communities:
Logo design credit goes to: tubbadu
view the rest of the comments
Sounds about right LOL!
(also am stupid)
we have an obscene amount of fossils sittin around in drawers collecting dust. i cant wait til we can feed all that crap into 3-d scanners, feed it into some detection LLM and vastly expand our knowledge at a rate we are not currently capable.
i read a lot of 'random scientist finds some random fossil in a drawer proving the opposite of some accepted fact'
This exact scenario scares me, because what we know about current LLMs is not that they are good discovers of things, but that they are very convincing liars.
That's because most of what we hear about "AI" is revolving around content "creation" controversies, but these are successfully used in analyzing wide data sets for scientific purposes, like finding new foldings of proteins, diagnosing cancer, reading ancient burned scrolls via etcxrays
And all of those things are then analyzed and verified before anything is done with them. No reputable scientist is taking those results and dumping it straight into a paper; the deep learning engines are pointing scientists in the right direction; they're taking the haystack and making it a handful. Protein folding is a little different because the results can be directly verified programmatically (I think; I'm not an organic chemist, or biologist, or whoever is doing this research).
The output of LLMs can be great outlines. They can also be wildly, and confidently, wrong.