advocates of #machinelearning, I am told that you all know that (current) #ML is limited. fair enough. but which limits are you willing to *publicly* acknowledge?https://twitter.com/NotSimplicio/status/1173373706674085888 …
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Watch anyone of my talks of the last 4 years. Many even have the title "the power and limits of deep learning" More obvious answer: limitations are pretty much everything everyone in the field is doing research on: self-sup learning, model-based control, reasoning, causality...
agree with @ylecun on much of this list, and tried (among other things) to explain many of them (sometimes with slightly different terms) to the general public in http://rebooting.ai , because few seem to be widely understood or appreciated.
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@yudapearl has of course done a great job bringing causality to the forefront of public attention. but overall i think there is a mistaken impression that all we need is more data and more compute, when in fact bolder steps are required. - 6 more replies
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