A.I. augmented by socnets

"Machines are very limited in learning and predicting the consequences of new interactions. ...From the limited data provided by the sensors, the designers must infer what might actually be going on and what actions the machine ought to take....The fundamental restriction on people's successful interactions with machines is the lack of common ground". - "The Design of Future Things" - Donald Norman

During the pre-social network times, all machines could do was, realize a tree of guesses which is modeled off the designer's imagination and with communication through a refined Eliza-like interface. 'intelligence' is hard-wired apriori, without regard to context.

In this Era of Participation, where you tweet, retweet and your communication with certain people in your social graph, machines can establish a common ground, from this data fairly well and constantly "revise" this common ground based on feedback.

Thus, with the socnet interactions providing the richness of interpretation of context, machines can 'adapt' the context, fairly well.

If this Artificial Intelligence is designed well to connect to the Social Expression, we would arrive at a new level of fluidity in Artificial Intelligence... Augmented Artificial Intelligence.

Oh Curator, My Curator!!!

If you are not following @jhagel in twitter, you are missing out on one of the primary pleasures of connected consumption.

I learn a lot from the links he shares in twitter. I got introduced to the fascinating world of sand animation, through @jhagel. ... and to Richard Florida and many many.

@jhagel's twitter popularity is nowhere close to @guykawasaki. @guykawasaki is sure to provide you with twitter streams with guaranteed regularity and topics that are very helpful, hot and happening and some practical information that you would appreciate for its timeliness.

Yet, @guykawasaki is no match to @jhagel in terms of the richness of content. I think there are two kinds of curators, i.e., the generalists and the passionates.

The generalists know their audience and provide content, following the Keynesian beauty contest doctrine. The passionate curators are those who "cherry-pick" the content that they consume and delights their followers in a profound way.

The hard part is identifying the second kind, i.e., the passionates and building systems, that help users discover those passionate curators that resonate perfectly with them.