the goal here was to be able to put in the vector for (e.g.) "dog" & get back a line about dogs. but it's learning the punctuation and the length of the lines, so putting in single words yields stuff like
abacus ➝ Beginabliny
allison ➝ It is is is is is is ine is ineay
cheese ➝ Great occhanting seaw
daring ➝ The left the lonious courtina
mastodon ➝ shorn born born borner
parrish ➝ the oh
purple ➝ Greath green green green
trousers ➝ To blenting my blank
whoops ➝ Aaann aaas! aaan aaas!
zoo ➝ T
(I know I'm literally just redoing karpathy experiments from "the unreasonable effectiveness of rnns" era but it really is unreasonable how effective this is. also my first nn-training experiment that didn't just immediately overfit and where actually adding more neurons to the hidden layers helped instead of hurt)
a "sonnet" (14 lines generated from uniformly distributed random vectors)
my silly blyssy slyyly my smlllly ly my sfllllylyly llllyly ky my s
soremorisenoris soreeories sirey seauton oreeose,
For I sfored
That daughteous bloom
stepian steon is shente
Reminds me of finnegans wake.
I like it.
christmas, recurrent neural networks
wow, that's wonderful
my silly blyssy slyyly my smlllly 😋
@aparrish love that daughteous bloom
@aparrish I like this approach, a sonnet is just 14 of whatever you feel like. 14 knock knock jokes? Sonnet. 14 photographs? Sonnet. 14 bottles of beer on the wall? Sonnet.
@mewo2 as björk said, don't let poets lie to you (about what is and is not a sonnet)
@aparrish I would like to adopt some of these for everyday use, like exclaiming “aaann aas” when I make a blunder and “great occhanting seaw” when I have yummy cheese.
This is also a good explanation for why one would wear trousers.
@aparrish what DOES it say about dogs?
@Ranjit I just ran it to find out and
dogs ➝ earnest heed
which is...!! on a different inference it generated "ear ee" which is also appropriate
@aparrish truly this is unreasonably effective
@aparrish dare we ask it about cats?
@aparrish as a dog partisan I’m hoping cats get something less sweet while feeling slightly guilty for hoping that
@Ranjit right now it generates
cats ➝ eers
kitten ➝ Lose lo lord
so... no idea
@aparrish happy to see both cats and dogs getting eers 🐶🐱
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