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by YeGoblynQueenne
3477 days ago
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>> these newfangled mechanical AGIs, which, while still crude, aren't bound by the same constraints, they can iterate much faster. When has an AI shown capability of "iterating" in this way? We've had all sorts of different AI systems for quite a long time now, and I've never heard of a machine anywhere that has actually made itself smarter, without any human involvement. The closest to that sort of thing anyone's ever got is AI in the line of Tesauro's TD-gammon [1] (a line that yielded AlphaGo). This type of AI has indeed beaten humans at their own games, time and time again, but (a) we're talking about board games, not the real world and (b) no such system has ever learned to do anything else besides play a very specific board game. Take AlphaGo- it can beat the best human players, but it can't tie its own shoelaces. It can't even tell you what "shoelaces" are or what "itself" is. How are we going to go from artificial-savant sort of systems like that to a generalised intelligence? [1] https://en.wikipedia.org/wiki/TD-Gammon |
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Many times, actually. It's just that until quite recently, this approach (of applying ML to the problem of devising improved ML systems) has been prohibitively expensive in terms of time and resources compared to the human-powered ML research approach. The lowest-level version of this is hyperparameter optimization, but higher-order versions are known to have been deployed already.