Researchers at the Massachusetts Institute of Technology last week announced they had developed an algorithmic system to analyze big data that eventually might replace humans. The system, called the “Data Science Machine,” designs the feature set and searches for patterns in big data. The DSM’s first prototype was 96 percent as accurate as the winning submission by a human team in one competition to find predictive patterns in unfamiliar data sets, MIT said. In two others, it was 94 percent and 87 percent as accurate as the winning submissions.
Better yet, it does a perfect job of finding false patterns, in complex noise, leading to 100% correct conclusions, about imaginary problems, just like real people do!!
Yeah.. stupidly, people rely on machines to be "right", while human conclusions they may, reasonably questions. So.. we now have something people will, stupidly, trust to be 100% right, because it, 96% of the time, comes to the same wrong conclusions, the validity of which would have been possibly questioned, if it was a bunch of people making it.... Just what we need...
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MIT Machine Does Big Data Analysis the Human Way
Posted by: Richard Adhikari October 20, 2015 03:23 PMResearchers at the Massachusetts Institute of Technology last week announced they had developed an algorithmic system to analyze big data that eventually might replace humans. The system, called the “Data Science Machine,” designs the feature set and searches for patterns in big data. The DSM’s first prototype was 96 percent as accurate as the winning submission by a human team in one competition to find predictive patterns in unfamiliar data sets, MIT said. In two others, it was 94 percent and 87 percent as accurate as the winning submissions.
Yeah.. stupidly, people rely on machines to be "right", while human conclusions they may, reasonably questions. So.. we now have something people will, stupidly, trust to be 100% right, because it, 96% of the time, comes to the same wrong conclusions, the validity of which would have been possibly questioned, if it was a bunch of people making it.... Just what we need...