In the future, nobody cares about CPU speed and disk space.

In the future, technology is everywhere and people choose their machines and apps strictly by their compatibility with the user – their humaneness.

We’re here to help this future get here sooner by teaching machines how to be more human-like. For a future in which people don’t use computers, but instead, they interact with them – just like we do with one another.

Here, at Bayon, we believe in semantics. True, semantics is scary and overwhelmingly complex, but without semantic capabilities, computers and people will never truly understand each other.

So, since it’s better to fail at doing the right thing than to succeed doing the wrong thing, that’s what we do here at Bayon.

We are here to close the gap between human and machine by explaining to computers the meaning of being human.

We build on the work of Marvin Minsky, who described the human mind as a society of agents.

By bringing together semantics, linguistics, psychology, and philosophy into a single coherent high-resolution model of the distributed system that is the human psyche we intend to create an environment for these mental agents. A type of an organized social environment that facilitates their organization and communication.

Within this environment, we will bring these mental agents to collaborate – creating the society of mind.

Thankfully, all of us humans come equipped with state of the art semantic supercomputer mounted inside our skulls. For this reason, we chose to focus on the top-down, or inside-out, approach rather than the mainstream bottom-up approach.

Indeed, this approach is by no means new as philosophers have been trying to figure out the constants of perception for millennia. However, with the help of some new technological advancements and a set of adjusted reverse engineering methodologies, we set off to explore the inner mechanisms of the humanOS with computerized scientific accuracy.