Hacker News Reader

Comment by jchw | Hacker News Reader

>(e.g. Hacker News titles from a retrained 117M model: https://github.com/minimaxir/hacker-news-gpt-2)

Wow, thats great. “The Bullshit Bubble” “Fuck you, Bootstrap” “We should give up on America” - they’re practically comedy, yet very believable too.

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"How to Make a T-Shirt in 10,000 hours" is my favorite.

I had to do a search to make sure that or something analogous wasn't actually real! It seems incredibly on target.

I think its just edged by "Why I'm ditching ebike hoses for barometers" for me

Though "Hacker makes an infinitely scaleable cup of coffee" gives it a good run for its money.

This is great. A possible hackathon project for writers. Everyone gets a title and has to write the post

My favourite is "The secret Nazi medical charity giving out freezers".

Very reminiscent of headlines from The Day Today: https://youtu.be/wdEcO8_2Kl8

Has anybody tried feeding it comedy to begin with to see what it spits back out?

There was an attempt on Reddit but it didn't turn out well, likely because there wasn't enough input data: https://www.reddit.com/r/MachineLearning/comments/bgvzdu/d_j...

(I have an idea for a more proper approach)

It'd probably produce a crap sitcom. But then again so does the BBC these days.

I can provide more details next week once the article is out, but I've fed it a corpus of one liners and it started to produce weird and sometimes very funny liners :)

I tried it on The Office quotes [1] and it seems to generate some more or less humorous examples

[1] https://www.reddit.com/r/MachineLearning/comments/bmn0og/p_l...

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