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They've been doing some interesting work on factored cognition to avoid these sort of hallucinations [2].
1: https://elicit.com/ 2: https://blog.elicit.com/factored-verification-detecting-and-...
>“It will make it very easy for any researcher or group of researchers to create fake measurements on non-existent patients, fake answers to questionnaires or to generate a large data set on animal experiments.” Perhaps I'm naive, but I think the people that want to fake data were already doing it without tools like chatgpt. Especially since a ton of biological data is normally distributed, so it's exceedingly easy t…
In other words: a text generator has generated a text.
I chose the wrong field to be able to fake data /S.
It's just emulating a certain cross-section of human scientists.
>“It will make it very easy for any researcher or group of researchers to create fake measurements on non-existent patients, fake answers to questionnaires or to generate a large data set on animal experiments.” Perhaps I'm naive, but I think the people that want to fake data were already doing it without tools like chatgpt. Especially since a ton of biological data is normally distributed, so it's exceedingly easy t…
See:
https://en.wikipedia.org/wiki/Synthetic_data
or in scientific literature:
https://arxiv.org/abs/2208.09191
a few companies are doing exclusively this
While no time now, I’m still interested in making a list of resources (esp free) that tells how to construct good studies, has comprehensive presentation of all categories of mistakes/lies we see in them, examples of each, and practice studies with known errors. Anyone here got good books or URL’s that could go in a resource like that? That could train new reviewers quickly?
If I return to AI or ever work in it, I also planned to teach all of that to AI models to automatically review scientific papers. Might contribute to solving the replication crisis. Anyone who’s doing AI now feel free to jump on that. Get a startup or Ph.D. with a tool that tells us which of the rest are fake.