Apparently while learning English, GPT-2 also accidentally picked up some JavaScriptpic.twitter.com/stsfz98yWl
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Also kind of amazing – sample 195 is syntactically correct PHP code (at least as far as "php -l" can determine)https://gist.github.com/moyix/dda9c3180198fcb68ad64c3e6bc7afbc …
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...I know it won't do anything but I still kind of don't want to try running it
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Update, I was wrong, it's not completely valid PHP (I forgot to stick it inside <?php ?> tags) – I think it's quite close though.
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I added one $ and wrapped a couple of the methods in a class and now it's correct. https://gist.github.com/moyix/dda9c3180198fcb68ad64c3e6bc7afbc/revisions …
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I think I'm most impressed by the fact that the comments are actually fairly sensible and mostly match the code that follows.
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Anyway, I expect that what I just did – fixing up slightly broken bot-generated code – will be the most common occupation within 10 years ;)
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it's also not copied verbatim from anything as far as I can determine from substring searches, etc. which is impressive.pic.twitter.com/vDS3jnXImB
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Yep, I noticed that too. It created variable names that are pretty coherent (e.g. DbAppAndFNAAppRegistrationService and AppAndFNAAppService) and those aren't found anywhere on the web. Incredible.
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This will led to
#malicious attacks definitively
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Character RNNs have done this before btw, e.g. http://karpathy.github.io/2015/05/21/rnn-effectiveness/ … And this model does something similar - generates the next byte (Karpathy's model generates the next character) The indentation, usage of braces, etc. correctly is so fascinating! :)
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