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I've long thought that among the chief promises of a self-improving AI is not that it will exponentially make new discoveries in Science. But that it will be ab
by gerbal 12y ago
I've long thought that among the chief promises of a self-improving AI is not that it will exponentially make new discoveries in Science. But that it will be able to synthesize and combine existing knowledge in a manner too complex for most humans.
The problem with current knowledge is that humans just aren't capable of handling more than a tiny fraction of it. A functional AI (even of the weaker variety) is capable of handling orders of magnitude more information and arriving at novel combinations of existing knowledge.
Part of the reason the impact-per-researcher has fallen so much is that there is simply so much more to know and consider than there was a century ago. And Computers are really, really good at dealing with volumes of information that would overwhelm a person.
And while a self-improving AI may someday slow down it's rate of self improvement, in the short term its rate of self-improvement would appear exponential as it groks scales of knowledge humans can't cope with.
- fixermark 12y agoThis is a pretty valuable insight. Even without some kind of innovation to intelligence itself, simply taking the human cognitive process and mapping it onto a strata with several factors more bandwidth (an expectation that isn't unrealistic, given the current implementation is low-speed potential flows and chemical squirting) could significantly push science forward. This one is an easy bet, since we're already doing this; modern researchers (even the professionals ;) ) use Google and more specialized search tools, which are little more than machines that can read, digest, and correlate symbols at speeds much, _much_ faster than a human (though in a far more narrowly-scoped domain than a human).