Good points, but "even 90% is not enough" sounds a bit like a joke. "99% is typically not enough". In fact often "99.99% is not enough". And for applications where life depends on them "99.9999%" is not enough.
the gap, not yet bridged, between doing #AI in the lab and AI in the real world.
terrific talk, converging in many ways with http://rebooting.ai , by @pabbeel #mkt4intelpic.twitter.com/ewrZ1qyC90
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Best to read "even 90% is not enough" as "even a % that's already well beyond what's typically achieved on std benchmarks in research before people move onto next benchmark" is not enough. (And in research, there is a good reason to move on!) But for real world, we need better %
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Most of the real world has been touched by the heavy hand of humanity ... Not surprising that it is difficult to rule by machines! (alas not for the lack of trying of course).
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Nice summary. Is the full talk or the slides available online?
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Finally ... One line that gets towards the real definition of AGI .. a machine defined by how it autonomously handles what it doesn't know it doesn't know. I hope that last line pierces the skull of the commentariat! Time to ask the obvious question it leads to, which is .....
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"the gap, not yet bridged," Tell us something we don't already know. Or come out with a solution.
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