![]() “The difficult part about them is how heavily they rely on phonetic wordplay and extra knowledge about doors, houses, etc. “The easy part about knock-knock jokes is their simple structure,” Shane wrote in her email. Knock Knock Who’s There? Alec Anic who? Wow co poo the tho tho door to the soout oo ooo oooo ooo oo oo oo oo ooo oo oo oo ooo ooo oooo ooo ooo oo oo ooo ooo ooo ooo ooo oo oo ooo ooo ooo ooo oo oo oo ooo ooo ooo ooo… Don’t look down on it too much, though, since this really isn’t all that much less sophisticated that the jokes we get when small children first start trying to tell jokes. This one was a result of it “learning” from a cow-related joke, which, it would seem, ended in mooing. arrived at some … interesting punchlines. It is literally learning jokes - but not humor.Īs a result, the A.I. On the other, the neural network is merely finding associations between words in a fairly small number of jokes - it’s not assigning those words any abstract meaning, or categorizing them according to their grammatical role within the sentence. On the one hand, it’s a simple task for an A.I., since each joke is organized in precisely the same way. The project was simple: use a dataset of 200 knock-knock jokes provided by ResearchBuzz to teach a neural network about the reliable structure these jokes exhibit. “It was over drinks with a friend that I realized knock-knock jokes might make a good dataset for the algorithm, and when (Tara Calishain), a fan of the blog, kindly gave me a list of knock-knock jokes already compiled and formatted, I put the neural net to work on it immediately.” “After training the network to produce recipes, Pokemon, and superhero names, I had begun to get a sense for what kinds of tasks the neural network handles best,” Shane told Inverse via email. Shane attempted to teach a neural network to cobble together a working knock-knock joke, and while the results were only somewhat successful, they ended up offering insight into the structure of both modern A.I. Artificial intelligence is coming for a lot of traditionally very human disciplines, from stock picking to news writing, but if a new personal project from researcher Janelle Shane is any indication, the world’s comedians can rest easy for now. ![]()
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