Ask HN: How would you build a ChatGPT detector?
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Re: Ask HN: How would you build a ChatGPT detector?
#2For example, if you prevent students from cheating, that's probably a problem specific to education. If you want to know whether a student's essay are their own words, you can ask them questions about their essay. You can have them verbally defend their arguments and research. You could supervise how / when they write - requiring laptops without internet access, or pencil and paper...
Re: Ask HN: How would you build a ChatGPT detector?
#3Re: Ask HN: How would you build a ChatGPT detector?
#4Any proposed solution would only serve to make the next iteration of the model better at avoiding detection (e.g. incorporating a GAN-style training cycle).
Just as with Poe's law, there simply comes a point at which it becomes impossible to recognise AI generated texts just by analysing them. Made-up references might be a clue, but that's very context-dependent.
Re: Ask HN: How would you build a ChatGPT detector?
#5Re: Ask HN: How would you build a ChatGPT detector?
#6Re: Ask HN: How would you build a ChatGPT detector?
#7Re: Ask HN: How would you build a ChatGPT detector?
#8This might provide some guidance: http://gltr.io/
They're also trivially foolable by using sampling techniques or settings which encourage the model to generate rare words a lot.
Also foolable with filter-assisted decoding: https://paperswithcode.com/paper/most-language-models-can-be...
Re: Ask HN: How would you build a ChatGPT detector?
#9I agree with the softwaredoug that this is probably not a technical problem. Any proposed solution would only serve to make the next iteration of the model better at avoiding detection (e.g. incorporating a GAN-style training cycle). Just as with Poe's law, there simply comes a point at which it becomes impossible to recognise AI generated texts just by analysing them. Made-up references might be a clue, but that's v…