https://news.ycombinator.com/item?id=15429287
Wish this article was written a few days earlier.
An analogue of this article exists for most other domains claimed to have been solved.
No, it's not learning new classes of objects from a single image or a few images is very difficult. See
http://www.sciencemag.org/content/350/6266/1332.short
The machine translation is a joke.
Put comments on this page by translating Google into another language and go back to English and see what you get.
I did a little part of you. Just human level for just a simple little prayer.
> But even if you do not make this assumption, identifying the object involves spitting the distance from the performance of the human level.
Not to debunk your claims, just interesting to see how good translation works (even if it's not human-level, I can understand what you say).
"spitting the distance from the performance of the human level"
If this were spoken out loud, it might get mistaken for "splitting the distance" which seems to have a different meaning (half as good as humans).
But the point is subtle differences matter a lot in human communication.
But, I do agree with your point that in a lot of cases even without human-level performance one can get things done.
> I did a little part of you. Just human level for just a simple little prayer.
It's just bad. It sounds like it's based on a n-gram model - about something religious, strangely enough.