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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Most AI practitioners don't look for general AI, and don't even have public opinions on it. ML is all about experimental statistics, and if you say that out loud, you will probably not meet with much resistance.
and i still await examples from ML practitioners about the limits they are willing to *publicly* acknowledge.
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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.
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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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I don't think that folks have problems to rattle off lists of things that are notoriously difficult, unsolved and under researched. OTOH, there are no hard proofs of insufficiency of current approaches. You'll need to move past hand waving.
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you are doing the hand waving. i asked for specific limits and i see none.
End of conversation
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