[prvnsmpth]

> It did not understand what you meant because it did not take the whole environment into consideration.

This is the crux of the matter. These voice recognition agents are trained with goal of accurately modelling a function that converts recorded sound to a series of words, and then act on those words to perform the most appropriate action. They are NOT trained to model the entire world, which is an incredibly complex task that no one has been able to formulate as a problem that computers can solve, yet. Humans on the other hand, have a machine that is extremely well-equipped to do just that - the brain. And that is exactly why humans are able to "understand" things, while we feel that machines are not, with our definition of "understand".

In the far distant future, if and when we do figure out a way to model the entire world, come up with suitable objective function, and solve it on a computer, there's no reason why that machine should be any less capable of understanding things than the average human.