>This is why I think Google is really in a better position to answer these queries, because the knowledge graph allows the context to provide the nuance you are

>This is why I think Google is really in a better position to answer these queries, because the knowledge graph allows the context to provide the nuance you are looking for. I agree completely. That's why the viv presentation left me a bit unsatisfied. I also had the exact same thought in the middle of their talk : "with google database of concepts, you could do so much more". But even Google still needs to break the last barrier, and it's related to language itself and culture. Every translator and linguistic knows that a language conveys much more than clear information. It is a mental construct that evolved during thousands of years, and keeps evolving, is full of ambiguities than only culture, experience (and a bit of common sense) can solve. The best example of this is to notice how bad automatic translators are. Guys at google tried to brute-force the problem, with a gigantic database of text, yet the result is absolutely miserable.