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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This seems like it could be addressed by a Chalmers’ style “state of the discipline” survey. Construct a survey of various questions or limits that interest you and ask for either anonymous or direct responses.
I have already reviewed the limits that i see, in http://rebooting.ai w Ernie Davis. this thread isn’t about what the limits are, it’s about what limits practitioners acknowledge publicly. common attempt at defense is to allege limits are widely acknowledged. are they?
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What I’m saying is that I suspect you have the reach to just publicly ask top people about some set of limits you consider representative. Then you’ll have at least a decent empirical representation of what real contributors to the discipline acknowledge about those limits.
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IMHO, most of people with relevant opinions are well aware of Gary and his arguments. He is talking past some of them, because he is understood as saying "neural networks cannot do symbolic computation", which of course is not true.
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