Might be a lack of corpus? Idk. Seems like if they could perfectly solve translate, that wouldn't be an issue heh heh (strong if).
In this case, it would have to know the various names of sky-blue colors, like "azure", "cerulean", "process cyan", or technical answers like "transparent with Rayleigh scattering" or "hue value between 190 and 200 degrees". Then it would have to cross reference that with things I have already seen or read, and then prioritize several potential responses before finally playing me an audio clip from X-Files 3:17 "Pusher", when the eponymous character is being transported in the back of a cop car.
The wikipedia page for Knowledge graph cites Thomas Jefferson as an example, so I asked 'what years was Thomas Jefferson in office?', and Google deferred to the first paragraph of TJ's wiki.
Then I asked 'What year was Thomas Jefferson born?', and it gave me a direct answer.
So it sorta works, but it's not super awesome.
My favorite example was a couple of years ago when I was at a bar. There was a song on the jukebox ("Coffee Pot" by Cajmere) which, for reference, is a house music song with a repeated vocal sample that says "It's time for the perculator [sic]". I assume they mean "percolator" but that's how the guy pronounces it in the sample.
Anyway, we were joking around and even though the bar was quite loud with people talking loudly all around and music playing, I pulled out my phone and asked "Ok, Google: is it time for the perculator?" I pronounced it incorrectly like the guy in the song and within seconds, I had results. The top one was a link to the video for "Coffee Pot" by Cajmere on Youtube and the rest were links to other stuff regarding the song.
Now, this was at least 2 years ago and possibly more. The response to my silly joke of a question wasn't so witty as to give me a spoken "it's time for the perculator" or anything like that....but it could parse my words despite all the noise and competing speech around me, it understood a mispronounced word, and it knew that this lyric sample referred to a song with a different title (Coffee Pot) and linked me to the video.
That was seriously the first time I was really impressed by their voice assistant even if it was a ridiculous request. No idea what the result would be on today's Google Now or tomorrow's Assistant (guess I'll find out when my Pixel gets delivered). Still, even if just from an engineering and software angle, that made me grin a bigger geeky grin than I might have imagined.
I like that Google seems to just display information for may of the responses vs. trying to cram in some overly long witty reply or verbatim reading of the text that takes too long to speak back.
Having some sort of speed/succinctness setting would be helpful in that regard.
It's not that different with Siri, they always brag with features in English, localization takes a while and has much less resources allocated it seems.
So a good exercise is to rewatch that movie, and in each scene where the assistant does something useful or cool, take a moment to reflect on what sort of data they would need access to, and how that data might be used.
I think where things get murky is that the movie didn't really touch on the company behind it at all, and if anything it almost gave the impression of being more like Apple than Google. As such, it neatly skirted today's concerns where the clear leader in the space (Google), is an advertising company that monetizes it's users' data and is constantly raising privacy concerns.
It is a fine line to walk, but ultimately everyone will need to weigh the decision in their mind as to the right balance of privacy and convenience.