https://www.cnet.com/reviews/revolution-r180-toaster-review/
Most people do not read the article before commenting, you do not have to train the AI to do that.
You'd need some checks to prevent people from posting a bunch of Zalgo text (maybe a model to identify "interesting" or "insightful" posts), but it could be a fun overlay on the hn commenting ecosystem.
Please read and follow them: https://news.ycombinator.com/newsguidelines.html
Kidding, I too thought this thread was the parody at first. After all, they are real HN comments!
Or maybe this is part of the parody. Maybe if we trained an AI to detect genuine vs. parody?
Blockchain will solve this better
>this is a fully-automated subreddit that generates random submissions and comments using markov chains (see below for more info), with each bot account creating text based on comments from a different subreddit.
Quite fun to read.
Above algorithm generalizes all human knowledge ever conceived, in any format, as well as any future (duplicated!) ideas that may be conceived.
I donate above algorithm and all its results to public domain.
You're welcome.
You should've just said a stream of bits, as your system cannot generate anything that requires a non-multiple of 8 bits to be accurately expressed. Zero padding is not the same as absence of bits.
Good crab.
I'm honestly really curious about this. Could you elaborate?
Idea: Train an ai to construct entire threads based on the input of the title and link. There should be plenty of training material, and frankly I think it would be hilariously similar to the real threads.
When new submissions are added to HN, the system will fetch the title and link, and predict the entire thread. You can view the thread on something like hnpredicted.com/?id=33680661 . When the real thread has had no new comment added for five days, it is reintegrated into the system further training the model.
Possibly, the model could be trained on the actual content of the link. But I suspect just using the short title might be better. Larger concentration on the actual material there, websites contain lots of text which is useless.
Now that I've posted the idea, feel free to steal it ofcourse. It's documented that I came up with it anyway. :)