becoming superhuman

»All of engineering is about adaptive control systems«
Michael Saylor

The question of whether machines can »really« be more intelligent than humans is heavily influenced by fears and opinionated discussions which are, from an empirical point of view, quite uninteresting.

»Intelligent is, what intelligent does« (Ashby), and »that it is assumed of a highly differentiated automaton that it can have thoughts and also feelings, is less depressing than the obvious fact that there are people who do not think and have no feelings« (H. R. Rapp).

If the brain was so simple that we could understand it, we would be so simple that we couldn’t: what is taken for (empirically relevant) intelligence is ultimately an emergent phenomenon that has all the more potentials the less it is trivialized. So the more powerful artificial neural networks become, the less we can understand them.

Many use cases require explainable, controllable AI, which can by design impede possibilities; in some cases explanations are attempted through trivialized reverse engineering.

But the ultimate solution is radically simple:

cCortex® enables unlimited AI integration and AI scaling (including self-modification) while providing complete control. It offers the perfect base layer for the next and subsequent evolutionary stages of artificial intelligence.