OP seems to have run a programming language detector on the generated texts, and made a graph of programming language frecuencies: https://pbs.twimg.com/media/Gx2kvNxXEAAkBO0.jpg?name=orig As a result, OP seems to think the model was trained on a lot of Perl: https://xcancel.com/jxmnop/status/1953899440315527273#m LOL! I think these results speak more to the flexibility of Perl than any actual insight on the training…
I don't understand why Perl, R, and AppleScript rank so much higher than their observed use.
It seems to be an error with the classifier. Sorry everyone. I probably shouldn't have posted that graph; I knew it was buggy, I just thought that the Perl part might be interesting to people.
Here's a link to the model if you want to dive deeper: https://huggingface.co/philomath-1209/programming-language-i...