From Richard Sutton (incompleteideas.net/), an essay on the repeated historical finding that computational scale has always beaten cleverness in AI (and some commentary on why this is such a hard-to-accept fact): incompleteideas.net/IncIdeas…
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Replying to @bilaltwovec
Agreed!
Replying to @etzioni
Both are important! Look at GPT-2 for instance — that's a general-purpose architectural improvement (i.e. the Transformer) run at massive scale. One interesting point from the essay is that scale gets a bad rap — doing the reverse isn't a good way of fixing the problem!

Mar 15, 2019 · 3:52 AM UTC

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Replying to @gdb
It’s a virtuous cycle of improved procedures/architectures, Scale of Data and Scale of Compute which together caused the difference IMHO. Even if Compute has been winning till now, note that Moore’s law is approaching standstill and we might need to revisit discarded past ideas
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