We have been looking at various angles as to how something like a social singularity could be brought about. In our latest think tank session, we came up with an idea: how about if we pit a swarm intelligence against an AI? More specifically, how well could a swarm do against IBM’s now famous Watson supercomputer? In February, Watson beat two of the most prominent human players in Jeopardy – an unprecedented feat for a computer.
Basically pitting a swarm against Watson would require some kind of a real-time crowdsourcing platform, which would also involve features like specified in the earlier EM tech postings. In other words, the platform should be able to differentiate participants’ credibility, and it should also be able to differentiate between a huge pool of submitted data to select best contenders for answers. It appears that these functions can be implemented with relatively simple semantics that draws from the social network itself.
Effectively, there could be three phases that this kind of a project would require from the social community:
I) Open source development of the platform itself.
II) Calibration of the platform and practice of the participants.
III) Participation in the swarm itself.
For the time being, “Social Sherlock” remains pure brainstorming, but we will see whether it can be developed in further think tank sessions.