In a world where nothing is private, where every behavior is "counted", we must now consider this:

• Every decision, every behavior, every choice we make, will be judged.
• Currently we have no way to even know the reputational risk from different behaviors because we barely know anyone, and due to Dunbar's number we have no "natural" aka biological means of managing the expectations of more than a small number of people from a community.
• Better mechanisms of acquiring feedback can allow for sentiment to be more accurately captured. This could allow at least for a network to know who everyone is even if it's impossible for us to individually know each other.
• A network would have to rely on scores, on metrics, on fitness criteria, and quantify trust itself as a trustability score based on the search criteria. For example if Alice determines she only trusts people who meet certain minimum criteria, then this could be represented as a score or series of scores or sum of a group of scores.

There is no way in hell we can expect Alice to realistically know everything about everyone she ever interacts with. Nor would it make sense for her to want to know this as it would potentially bias her in dumb ways. What Alice would need to know is the answer to her query to the network which could be as simple as "Can I trust Bob?".

The return would be a score, if the score is beyond a certain threshold the answer is yes, else it's no. Alice does not need to know what Bob eats for breakfast each day but if she wanted that to be a factor in the score then an algorithm could capture this via instagram tags if Bob films himself eating breakfast each day.

Basically, the whole idea of Bob gets quantified. It then becomes analyzed by algorithms produced by a market. A market where the most fit algorithms get the most use and the most money for the creators. The end result is Alice gets her question answered by her exocortex.