It will almost always be detectable if you just read what is written. Especially for academic work. It doesn’t know what a citation is, only what one looks like and where they appear. It can’t summarise a paper accurately. It’s easy to force laughably bad output by just asking the right sort of question.
The simplest approach for setting homework is to give them the LLM output and get them to check it for errors and omissions. LLMs can’t critique their own work and students probably learn more from chasing down errors than filling a blank sheet of paper for the sake of it.
This is not entirely correct, in my experience. With the current version pf gtp-4 you might be right, but the initial versions were extremely good. Clearly you have to work with it, you cannot ask for the whole work
I meant initial versions of chatGTP 4. ChatGTP isn’t lying, simply because lying implies a malevolent intent. Gtp-4 has no intent, it just provides an output given an input, that can be either wrong or correct. A model able to provide more correct answers is a more accurate model. Computing accuracy for a LLM is not trivial, but gpt-4 is still a good model. User has to know how to use it, what to expect and how to evaluate the result. If they are unable to do so it’s completely their fault.
I think there’s a big difference between being able to identify an AI by talking to it and being able to identify something written by an AI, especially if a human has looked over it for obvious errors.
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As expected, they can’t be trusted. And the more AI evolves, the less likely AI content will be detectable IMO.
It will almost always be detectable if you just read what is written. Especially for academic work. It doesn’t know what a citation is, only what one looks like and where they appear. It can’t summarise a paper accurately. It’s easy to force laughably bad output by just asking the right sort of question.
The simplest approach for setting homework is to give them the LLM output and get them to check it for errors and omissions. LLMs can’t critique their own work and students probably learn more from chasing down errors than filling a blank sheet of paper for the sake of it.
This is not entirely correct, in my experience. With the current version pf gtp-4 you might be right, but the initial versions were extremely good. Clearly you have to work with it, you cannot ask for the whole work
That’s not true! There’s heaps of early-GPT articles pointing out how much bullshit it regurgitates (eg Why does ChatGPT constantly lie?). And no evidence at all that the breathless fanboys have even stopped to check.
I meant initial versions of chatGTP 4. ChatGTP isn’t lying, simply because lying implies a malevolent intent. Gtp-4 has no intent, it just provides an output given an input, that can be either wrong or correct. A model able to provide more correct answers is a more accurate model. Computing accuracy for a LLM is not trivial, but gpt-4 is still a good model. User has to know how to use it, what to expect and how to evaluate the result. If they are unable to do so it’s completely their fault.
Why are you so pissed of a good nlp model?
I think there’s a big difference between being able to identify an AI by talking to it and being able to identify something written by an AI, especially if a human has looked over it for obvious errors.