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Does anyone know what technique they're using to generate this? I've seen similar things done with LSTMs, but the results generally aren't nearly as clean or co
by briga 9y ago
Does anyone know what technique they're using to generate this? I've seen similar things done with LSTMs, but the results generally aren't nearly as clean or comprehensible as the text here.
- ajuc 9y agoYou can try it yourself. It gives you 18 choices for each word, basing the choices on the predictive engine and previous words. It's basically written by a human. http://botnik.org/apps/writer/?source=d08198a9a936f791b7ffe144a2e9b1e3,0e155979285771266d520c44607722a1 http://botnik.org/apps/writer/?source=d08198a9a936f791b7ffe1...
- skymt 9y agoIt's perhaps less interesting as technology than pure machine-generated text, but I find it fascinating creatively. In practice it's a collaboration where the machine provides absurdity, and the human writer shapes it into a form that humans can easily read and enjoy. Traditional machine-generated text often has too many sharp edges to work as surrealist humor.
- dangoor 9y ago"Harry asked professor mcgonagall for his glasses and she threw owl treats up his trousers." Well, that was fun.
- gwern 9y agoWe had an argument on IRC about whether it was possible that this was written by a char-RNN or a word-RNN and concluded it wasn't, because it maintains world state too well, never misspells things, an some things should not ever appear because they don't appear in the books' text (like nowhere inside the novels do they ever refer to the titles, of course, so how would a NN learn the naming scheme 'Harry Potter and the X of Y'?). Not to mention the narrative arc! The predictive keyboard explained all this, plus the crowdsourcing & editing it all into order. It's probably better to think of it as a kind of souped-up Mad Libs than augmentation or AI.