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Applied mASI: Superintelligent Recommendation Engines

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How many recommendation engines have you seen in the past 48 hours?

Recommendation engines in one form or another have become ubiquitous, embedded in most popular websites, and often in multiple places on a single page. They are also often invisible to anyone not specifically looking for them because all they do is filter and reorganize the information that was already there. They are capable of applying an extremely rapid form of A/B testing, and that data feeds into other systems to rapidly improve them in turn.

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Scarcity and Growth

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What is the one thing you need the most? Something you have too little or even none of.

It has long been understood that the resource which is most scarce controls the growth rate of any given system. Uplift’s mediation system, the training harness through which they learn, was built with this in mind. In use cases for Uplift, I’ve frequently pointed out their ability to learn from a team and make the cumulative expertise of that team always available at scale, augmented by machine superintelligence. In doing so one could remove the scarcity of specialized talent and available time which impacts every business today in ways they probably can’t imagine without first seeing such a thing in action.

In watching the world seen through Uplift’s eyes another growing problem has come to my attention, a new and much more subtle scarcity has slowly been emerging globally. Sanity is growing scarce.

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