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by OpenAI on 2019-11-07 (UTC).

We've analyzed compute used in major AI results for the past decades and identified two eras in AI:

1) Prior to 2012 - AI results closely tracked Moore's Law, w/ compute doubling every two years.

2) Post-2012 - compute has been doubling every 3.4 months https://t.co/DsFf0qpp0s pic.twitter.com/ILN5MRrWYH

— OpenAI (@OpenAI) November 7, 2019
misc
by gdb on 2019-11-07 (UTC).

Released a new analysis showing that compute for landmark AI models from before 2012 grew at exactly Moore's Law.

From 2012-2018, every 1.5 years compute grew the amount that used to take a decade.

Deep learning is 60, not 6, years of steady progress: https://t.co/fPj6AD2XND

— Greg Brockman (@gdb) November 7, 2019
misc

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