But Google+ has a feature that’s analogous to Facebook’s Friend Lists: Circles. And while Google has promoted Circles heavily, both in its marketing and on Google+ itself, it doesn’t do much in the way of automatically helping users sort their friends into Circles — there’s still a lot of legwork involved. Which Katango seems perfectly suited to help with.
As I hinted at recently, I don’t think algorithms can yet achieve the true fabric of human relationships.
Now, Facebook Smart Lists make a decent job of breaking it down for me, but only in the most obvious ways: location, occupation, school. The suggestions given to me are usually odd, but I’m also odd, having lived in so many cities, having no particular place I stayed too long in, having no family linked, being my lone wolf-self or something.
Google+ has nothing like that. Katango is thus a natural fit, but I don’t see yet making it a better experience than on Facebook.
Cross-contextual data is where those algorithms should look next.
I think that humans have a capacity for different amounts of social relationships. And I think it varies from person to person but it’s also not about what you should do. You should use the product to keep in touch with whatever set of people you want to. And we try to build all kinds of products that make it so you can stay in touch with small groups.
This is the big challenge for all social network. The fabric of human relationships is vastly more complex than any algorithm can currently handle. Relationships vary over time, context, subtext. They are nonlinear, variable, uncertain.
Existing and not existing at the exact same time.
Will Facebook be the first to grasp the quantum superposition of the human ethos?
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