I appreciate the privacy standards they used (no humans reading your email to develop this), but am concerned that it's not enough. As I understand with language models, overfitting takes the form of returning a sequence of words seen in the training set. If this is overfitting in any part of the response space, this could happen. Out of a million emails, how many suggested responses are going to substantively resemb…
Much of this strikes me as a "just because you can, doesn't mean you should" issue. Google clearly loves machine learning and doing cool things but I think lately they've been taking it too far. For example; after purchasing a book on Amazon recently I happened to do a Google search on that book and the first thing I see is, "Your book is scheduled to be delivered on..." Aside from the creepy factor I'm left wonderin…
To me, this phrase is the essence of much of Google's features. To my discredit, I chuckled when I read the blog's phrase "we've used...deep neural networks to improve...YouTube thumbnails." I am certain this was no easy task, and a resulting technical breakthrough. But doesn't it sound kind of petty?
Of course, what's petty for one is essential for another. I wish every e-mail client had that "undo send" feature, which was just GMail whimsy years ago. Is the line between petty and essential always going to be blurred?