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Is Burt Really the Biggest Advance in Machine Learning?
Burt was really the big advance in that, I think, was probably their biggest advance in being able to understand intent. It has this thing called quadratic tendency, which they use in computer science and information retrieval and websites. But it's not possible or it wasn't possible to use it at scale, because the CPUs were just environmentally crazy, yeah. So a lot of these big companies are using bits and pieces, almost like the shelf, adapting from one model to another. Once you understand language more then when you start to overlap entities and knowledge bases, that ambiguity starts to fall away as well.