The experience that a publication creates for its audience is the very essence of that publication's brand - and without deep engagement, that publication's brand will be weak. A good publication is a convener and an arbiter - it expresses a core narrative that becomes a badge of sorts for its readership.
Boxes and rectangles on the side or top of a website simply do not deliver against brand advertising goals. Like it or not, boxes and rectangles have for the most part become the province of direct response advertising, or brand advertising that pays, on average, as if it's driven by direct response metrics.
I have done a pretty good job of partitioning my life digitally, posting utterances and stories that I'm happy to share with anyone on Twitter, leaving a few sparse comments and 'Likes' on Facebook (I'm not a huge user of the service, I'll be honest), and sending any number of photos to thousands of 'followers' on Instagram and Tumblr.
The open web is full of spam, shady operators, and blatant falsehoods. Outside of a relatively small percentage of high quality sites, most of the web is chock full of popup ads and other interruptive come-ons. It's nearly impossible to find signal in that noise, and the web is in danger of being overrun by all that crap.
Google likely never cared if Google+ 'won' as a competitor to Facebook (though if it did, that would have been a nice bonus). All that mattered, in the end, was whether Plus became the connective tissue between all of Google's formerly scattered services. And in a few short years, it's fair to say it has.
I found the iPad to be too large and heavy to use comfortably in casual situations (like reading in bed, for example), and too limited to use as a replacement for my laptop. By comparison, the Nexus 7 is just the right size for use anywhere - it's very similar in size to my daughter's Kindle Fire, but lighter.
In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.