otoh, re-running the same prompt does not reproduce this neat behavior:pic.twitter.com/LrrchFXY5a
Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.
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otoh, re-running the same prompt does not reproduce this neat behavior:pic.twitter.com/LrrchFXY5a
in general, many simple cs101 homework code-gen "success-stories", but also many many failures. at least it knows that it should add some tests:pic.twitter.com/tMVq21xTM7
i was asked by @yaelnetzer , who, among other things, co-authored a haiku-generation paper with me many years ago, how gpt3 does haikus. so i ventured into generation land. here are some examples. it is clearly pattern matching from somewhere. but cool-ly.pic.twitter.com/8g6jJXNT0j
(this website is gone... did gpt3 nuke it? also, Nick Cave <3 <3 )pic.twitter.com/T0qLCO22cp
(((ل()(ل() 'yoav)))) 👾 Retweeted (((ل()(ل() 'yoav)))) 👾
these code-translations are impressive, i expected it to fail. https://twitter.com/yoavgo/status/1285353475115749378?s=21 …https://twitter.com/yoavgo/status/1285353475115749378 …
(((ل()(ل() 'yoav)))) 👾 added,
(but note how it doesn't fully understand types)
(((ل()(ل() 'yoav)))) 👾 Retweeted (((ل()(ل() 'yoav)))) 👾
what the. this thing is a crazy syntax learner. https://twitter.com/yoavgo/status/1285357605355954176?s=21 …https://twitter.com/yoavgo/status/1285357605355954176 …
(((ل()(ل() 'yoav)))) 👾 added,
(it gets x**k right up to k=7. for x**8 it got stuck spitting an endless stream of * x * x * x * x * x ...., and for x**9 and above it just says x * 9 )
Presumably it can handle the conversions found in the training data but it can't generalize the pattern beyond that
likely, i don't think it really has the concept of a number. but need to check more thoroughly.
but beyond the x**5 conversion, this thing is very compositional.
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