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Ask HN: How would you build a ChatGPT detector?

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Re: Ask HN: How would you build a ChatGPT detector?

#32
post #18

According to ChatGPT: > 1. Start by training a machine learning model to identify features of natural language. You can use supervised learning techniques with a corpus of labeled data consisting of texts written by both humans and AI systems. > 2. Use natural language processing techniques to extract features from the text such as word frequencies, grammar, and syntax. > 3. Implement a scoring system to assign a num…

That's a very verbose way of saying TF-IDF + SVM.

Re: Ask HN: How would you build a ChatGPT detector?

#34

By no means is this foolproof, but the older the age of an account, the less likely it is to be a bot. Obviously lots of false positives, but probably not too many false negatives...

I am sure there will be a market in selling old accounts to time-wash bots.

Re: Ask HN: How would you build a ChatGPT detector?

#36
post #19

Earlier quoted context omitted.

I know this is fun for people but I have to say the GPT reply is getting old fast.

The default style is such, arguably by design, exactly so it’s easily detected and gets downvoted on forums like here. IMHO it’s an important feature, even if it wasn’t intended for this purpose.

It's a classic "start by restating the question" style which so often precedes fluffy, empty bullshit. It must be by design, and it's a pretty silly design. It doesn't seem intrinsically necessary.

Re: Ask HN: How would you build a ChatGPT detector?

#37

Earlier quoted context omitted.

I suspect that in time, this will only accelerate the degree to which AI and human-authored text are indistinguishable from each other.

I've already sent text to customers 100% written by AI. Ethically dubious in a commercial setting perhaps, but higher quality text than I would be able to produce myself. I asked OpenAI and it said: It is not necessarily unethical to send customers text generated by AI, but it depends on the context and the specific situation. For example, if the text is being used to deceive or mislead customers, then it would be un…

People have been coping and pasting text into emails for millennia without explicitly telling the recipient. This shouldn’t be any different.

Re: Ask HN: How would you build a ChatGPT detector?

#40
post #18

According to ChatGPT: > 1. Start by training a machine learning model to identify features of natural language. You can use supervised learning techniques with a corpus of labeled data consisting of texts written by both humans and AI systems. > 2. Use natural language processing techniques to extract features from the text such as word frequencies, grammar, and syntax. > 3. Implement a scoring system to assign a num…

I think you should begin with specifying the purpose of such a detector, apart from the obvious one that you want to know that you are talking to a real human being.
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