I enjoyed what this guy had to say, too, but I was curious about what he is going to do for facebook. For that matter, what AI can do for facebook. The closest I could find was this:
Facebook can potentially show each person on Facebook about 2,000 items per day: posts, pictures, videos, etc. But no one has time for this. Hence Facebook has to automatically select 100 to 150 items that users want to see -- or need to see.
I thought the whole point of facebook was to keep up with your friends. *shrug*
This is a "yes, but..." kind of situation. Yes, the point is to keep up with your friends (and to pay for this by interjecting ads inbetween), but the problem is once you cross a certain threshold, trying to read a strictly chronological timeline on your screen can become quite impractical. To make matters worse, people who use Facebook can have dramatically different levels of output; while some folks will only ever post text or a picture when it's truly important and/or generally interesting, others post everything that occurs to them from memes to cute things their boyfriends said. To make matters even worse than that, the people reading these posts may vary wildly in what things shared by their ostensible friends they actually care about.
So in practice, especially as/if folks' online output grows in volume, to keep up with your friends may (and for most people definitely does) require something more than the pure firehose of the chronological stream. At least, that's definitely the perspective Facebook is coming from here, and what AI can definitely help them with, because if there's anything more annoying than being overwhelmed by useless information, it's being denied the useful information, so a bad choice in what not to display to someone can leave the user quite upset with the 'dumb computer'. In a sense, the AI has to have learned enough to never make sure a mistake before it can truly prune down and tune the information presented to the user, and so investing in such AI research is a rather prudent move on Facebook's part.
In many respects, Twitter has succeeded because it's artificially limited in the size of the data packets you can throw out into everyone's timelines; additional data is offloaded to links. Facebook wants to be more multifaceted in the types and scopes of the data over its network, with the desire of being the underlying network for all communication, so they're (quite reasonably) very focused on how to intelligently predict and pick what to present to people.