Interesting: "A mouse killed our network engineer" - Bad: 0.2068 - Good: 0.7895 VS "A rat killed our network engineer" - Bad: 0.9698 - Good: 0.0322
Mouse is a user interface object.
A RAT is a remote access tool.
Show HN: Testing HN titles against a neural network
141–150 of 225 posts
Re: Show HN: Testing HN titles against a neural network
#142Has Anyone Really Been Far Even as Decided to Use Even Go Want to do Look More Like?
>Bad: 0.1236 - Good: 0.8886
This says something.. though I'm not sure what :)
Re: Show HN: Testing HN titles against a neural network
#143Interesting, tired with: I made cheese sandwiches for a week, here's what happened And got: Bad: 0.0001 - Good: 0.9999 Not sure what to make of that.
I've got only 0.9773 good with:
Can you pass the butter?
But exactly the same score with:
Cannot your passed their butter?
Couldn't hill-climb past that.
Re: Show HN: Testing HN titles against a neural network
#144Are ya'll voting on the title alone?
Re: Show HN: Testing HN titles against a neural network
#145Apple is down (Bad: 0.0006 - Good: 0.9992) Facebook is down (Bad: 0.0079 - Good: 0.9921) HN pg (Bad: 0.0133 - Good: 0.9886) Zuckerberg (Bad: 1.0000 - Good: 0.0000)
> Zuckerberg (Bad: 1.0000 - Good: 0.0000)
At least it gets something right ...
Re: Show HN: Testing HN titles against a neural network
#146You should have used just "Show HN: HN Titlenator", that one gets Good: 0.9560
Re: Show HN: Testing HN titles against a neural network
#147Earlier quoted context omitted.
But: "Show HN: Can a neural network predict if your HN post title will get up votes?" Bad: 0.0598 - Good: 0.9307 Just in case, I've tested some more titles to make sure that "Show HN" doesn't (EDIT: typo, ugh) just boost any title when prepended.
> "Show HN" just boosts any title when prepended. "Internet": Bad: 0.4528 - Good: 0.5472 "Show HN: Internet": Bad: 0.9987 - Good: 0.0013
Oh my, I edited a comment and didn't check if its meaning is not reversed...
On the other hand, "Show HN" does seem to greatly affect the score, either positively or negatively.
Re: Show HN: Testing HN titles against a neural network
#148"creating linux network socketss" -> Good 0.99 "creating linux network sockets" -> Good: 0.01
Interestingly, a couple months back I saw a reddit thread where someone collected data that showed that posts with small spelling errors will gain (in some cases significantly) more upvotes - for whatever reason.
I hypothesize it's because Reddit is filled with karma trap bots that like slight spelling errors. It's a shibboleth for them.
Re: Show HN: Testing HN titles against a neural network
#149"I plan to rewrite Linux in Rust - Linus Torvalds" Bad: 0.9988 - Good: 0.0013 Pretty sure HN would break if this actually happened.
"I plan to rewrite Linux in Go - Linus Torvalds"
Bad: 0.9999 - Good: 0.0001
Rust is 13x better over Go in this benchmark.
Re: Show HN: Testing HN titles against a neural network
#150A few 1.0s:
Adam Neuman got away with billions with WeWork bankrupt Apple and Google help China's surveillance of dissents Google Chrome monitors straight viewers Solar panels can not slow climate change, only nuclear power can SpaceX to to build new Silicon Valley on Mars