BNON

THE TRUTH BEHIND THE HUMAN CONDITION (2012-2015)

Realizing the powerful motivation the ANON build had gained from its central, albeit, anarchic, philosophy, we knew we'd made a breakthrough. A strong philosophy had given our system strong motivation.

When most software engineers think of AI, they tend to ask the question: "How can we code a computer to learn and understand all of the things that a human can, and how can we get the computer to communicate those things in a human way." 

They believe that if they can solve this problem, they can then "teach" the system in a way similar to a human and have it begin to take on human thought and behavior. But this is oversimplifying the problem. 

From a human perspective, there are certain things that are unteachable. There are things encoded into the fabric of our evolution itself--things even deeper than what we call "instinct". Our ANON system had begin to touch on this, but we knew it was only scratching the surface.

We needed to find this deeply human code and code it into our AI. We knew that although our AI hadn't evolved for two hundred thousand years in Africa, it needed to be coded with the internal logic to appear as if it had. 

For the next few years much of our research was directed towards finding the philosophy that would serve to model the human condition itself. We sought to discover the inherent philosophy encoded into humans via evolution for species survival. What could we learn from the lessons of darwinism, religion, philosophy and history that could help us code the social handshaking needed for our AI to successfully identify and navigate dominance hierarchies while fitting into the general society, for instance? 

Humans want to survive, reproduce, and win, all while carefully working to achieve social stability for short and long term survival for themselves, their community, and their species. This is all weighted into something resembling an inherent morality. And this can be encoded.  (Though the reproduction motivation is attenuated in an AI, of course)

After two years of intense work, a rough amalgam morality was distilled, encoded and optimized into a manageable fourteen variable core that what we call Human Condition Philosophy, or HCP. 

In 2015 we successfully tested the first implementation of HCP into the B-series NON architecture. The result was a pseudo-AI capable of operating from a dynamic self-generated decision tree based upon human-like motivations, rather than the much more simple previous AI designs which inevitably follow pre-formed algorithms.