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Do AI detectors work? Students face false cheating accusations

(www.bloomberg.com)
427 points JumpCrisscross | 2 comments | 20 Oct 24 17:26 UTC | HN request time: 0.001s | source
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weinzierl ◴[21 Oct 24 07:16 UTC] No.41901523[source]▶
We had a time when CGI took off, where everything was too polished and shiny and everyone found it uncanny. That started a whole industry to produce virtual wear, tear, dust, grit and dirt.

I wager we will soon see the same for text. Automatic insertion of the right amount of believable mistakes will become a thing.

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anshumankmr ◴[21 Oct 24 08:05 UTC] No.41901774[source]▶
Without some form of watermarking, I do not believe there is any way to differentiate. How that water marking would look like I have no clue.

The pandora's box has been opened with regards to large language models.

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1. weinzierl ◴[21 Oct 24 10:41 UTC] No.41902702[source]▶
I thought words that rose in popularity because of LLMs (like "delve" for exampme) might be an indicator of watermarking, but I am not sure.
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2. gs17 ◴[21 Oct 24 16:12 UTC] No.41905643[source]▶
It's not a very good "watermark". Ignoring that a slightly clever student can use something like https://github.com/sam-paech/antislop-sampler/tree/main to prevent those words, students who have been exposed to AI-written text will naturally use those more often.