4 ms·
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 wea
by weinzierl 2y ago
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.
- ImHereToVote 2y agoYou can already do that easily with ChatGPT. Just tell it to rate the text it generated on a scale from 0-10 in authenticity. Then tell it to crank out similar text at a higher authenticity scale. Try it.
- anshumankmr 2y agoWithout 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.
- weinzierl 2y agoI thought words that rose in popularity because of LLMs (like "delve" for exampme) might be an indicator of watermarking, but I am not sure.
- gs17 2y agoIt'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 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.