Nice work! I did something in a similar vein, using JavaScript and Markov chains back in 2015 or so and ended up giving a fun talk about it at a coding bootcamp

Nice work! I did something in a similar vein, using JavaScript and Markov chains back in 2015 or so and ended up giving a fun talk about it at a coding bootcamp. [1] I based it off a Ruby module called “Twitter Ebooks”, which I believe was based on a Python module called “horsey books”, which could create a bot that would make posts using Markov chains, given a corpus of text. [2] (I’m not dropping the date to be a jerk, more to point out that Markov chains / n-grams are an interesting concept for experimenting with language models and have been around for a while.) In my case, I fed a corpus of data (my Twitter history at the point, which was something like 20K tweets) and tried to create a Twitter bot to make intelligent sounding posts. It worked out, sometimes. But, it was a lot of fun to figure out! [1] “Building intelligent robots using Node.js that can conquer Twitter” - https://www.youtube.com/watch?v=rMmXdiUGsr4 https://www.youtube.com/watch?v=rMmXdiUGsr4 [2] https://github.com/longears/horsey-books https://github.com/longears/horsey-books