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It seems to me somewhat similar to an argument put forward by Jaron Lanier: that what is termed artificial intelligence’s (or ‘deep learning’’s etc.) current successes, at least as far as something like the translation services of the big corporations for example, is actually built by leveraging corpuses that are the fruits of a huge amount of individual human effort. Sometimes, say with the ‘Mechanical Turk’ thing that Amazon has, or CAPTCHAs or something, this is a more explicit connection (…bit Wizard of Oz! :) As I understand it, he proposes that an alternative to UBI etc. might be micro-compensations (or transactions) in return for providing this data. This might be a prelude/transition to a stage where our basic needs (on a sort of Mazlow’s hierarchy) were met by A.I., or that there might be increasingly creative or interesting ways to complete some tasks that we could go on refining forever.



> are the fruits of a huge amount of individual efforts

That doesn’t make it any less artificial does it? If anything that makes it more so. That is also again only speaking to supervised learning (and only the fraction of it where datasets are curated not collected) not AI in general


I agree - it’s kind of lazily framed/worded. A.I. is a vast field after all?




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