A big problem with the assistants is that as soon as they fail at a query they seem stupid, I feel stupid, and I stop using them for a long time. Last weekend I had the following failed queries: "OK Google, what is the air quality like at Mt. Shasta today?" "OK Google, add a waypoint for the last gas station before the mountain pass" "OK Google, what percentage of people can you detect to be wearing masks on recent I…
But your examples are way harder than they sound. Speech or non speech analysers have a hard time with context. What do you mean by "recent" photos. And what percentage? Of people wearing mask in each photo, or of 1 or more people with a mask in the whole set of photos? Or the percentage of photo having all people wearing a mask. We humans make a lot of deduction from context. We haven't been able to teach computers…
I understand it's a hard problem, but with current software capabilities and given Google's compute infrastructure I honestly think some of these things are well within the realm of what a team of several hundred Google engineers can do.
I'm not asking it to write Shakespeare, I'm asking it to crunch data with a sentence that could reasonably easily be parsed into a graph and be turned into a MapReduce query. I thought they were good at that stuff.
Context? I know it's hard, but I thought Google has been working on that. I'm very much adjusting my expectations to what I think Google should be able to accomplish in a decade. I expect some basic context capability now, at the very least these data-crunching type use cases.