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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I've described the maturity roadmap here: https://medium.com/intuitionmachine/an-advanced-capability-maturity-level-for-artificial-general-intelligence-b300dafaca3f … . This map shows where we are now and where we eventually need to go.
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In my framework above, current state of the art is at level 2. AlphaGo is an example of a hybrid system. To get to level 3, you need learning through interaction and thus self-supervision. We are only at early stages of self-supervised learning:https://medium.com/intuitionmachine/the-paradigm-shift-of-self-supervised-learning-744a6819ce08 …
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ok but what specifically is it that the current systems appear not to be able to do? and for extra credit, why?
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Common sense of ML practioners is quite a limiting factor as far as I can see.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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