>“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…
The easiest data to fake is null results because anything else is replicable, hence the importance of replication.
ChatGPT generates fake data set to support scientific hypothesis
121–130 of 159 posts
Re: ChatGPT generates fake data set to support scientific hypothesis
#122From the thumping good detective-ghost-horror-who dunnit-time travel-romantic-musical-comedy-epic: Dirk Gently's Holistic Detective Agency
Re: ChatGPT generates fake data set to support scientific hypothesis
#123It's only a matter of time until someone comes up with a GPT that takes whatever off-axis theories a research paper writer wishes to promulgate, and searches the entire corpus of academic literature for references that can be strung together in such a way as to support any argument one likes. A quack's dream come true, substantiating an argument by backsolving from its feeble or malevolent conclusion to a set of well…
Wild things will happen if screaming hoax from ignorance can no longer shut down constructive efforts.
It will simply combine what is written about germ theory or heavier than air flying machines and produce sensible responses.
The patent db's are full of treasures if you have oh 1000 years? to study it. Maybe 10 000?
It should also be possible to take a seemingly unworkable idea that makes no sense and gather just what is needed to bring it into reality.
For stuff you can build or otherwise test properly it makes no difference what people think is possible.
People think very little is possible, we always did! Everything that can be discovered has been discovered has been the mantra for thousands of years. This while the things people actually accomplish seem to get more and more astonishing.
Re: ChatGPT generates fake data set to support scientific hypothesis
#124Earlier quoted context omitted.
Being able to do it at scale is an issue because of paper mills.
`np.random.normal(0, 1)`. You too can generate infinite amount of normal distribution data to use for fake datasets, free of AI.
Re: ChatGPT generates fake data set to support scientific hypothesis
#125Roughly speaking, the whole point of an LLM is to create plausible sounding text, without regard to the truth (which it cannot determine or derive), so it's a tool that is perfectly suited to this sort of malfeasance.
It’s just still mind blowing I can get a sarcastic summary of an email in the theme of GlaDOS from Portal and in the same screen get an email proofread.
It’s funny how far “what should the next word be” can go.
Re: ChatGPT generates fake data set to support scientific hypothesis
#126>“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…
Being able to do it at scale is an issue because of paper mills.
Re: ChatGPT generates fake data set to support scientific hypothesis
#127Earlier quoted context omitted.
I don't think that's accurate, it generates novel outputs that were not observed in the training data.
It doesn't generate new tokens. Train an LLM on text that only uses lowercase, and it will never output an uppercase letter.
Re: ChatGPT generates fake data set to support scientific hypothesis
#128Re: ChatGPT generates fake data set to support scientific hypothesis
#129Re: ChatGPT generates fake data set to support scientific hypothesis
#130Earlier quoted context omitted.
The easiest data to fake is null results because anything else is replicable, hence the importance of replication.
null results are also replicable.