Phase transition in intelligence

There could be at least three approaches to the long-term future of intelligence: engineering life into technology, simulated intelligence, and artificial intelligence. Further, while the story of evolutionary history is the domination of one form of intelligence, the future could hold ecosystems with multiple kinds of intelligence, particular specialized by purpose/task.

There are significant technical hurdles in executing simulated intelligence and artificial intelligence, but the areas have been progressing in Moore’s Law fashion. The engineering of life into technology will need to proceed expediently to keep pace with technological advance, and tie a lot of wetware loose ends together.

At present, the mutation rate of genetic replication puts an upward bound on how complex biological organisms can be. The human cannot be more than about 10x as complex as Drosophila (the fruit fly), for example. However, if the error rate in the genetic replication machinery could be improved, maybe it would be possible to have organisms 10x more complex than humans, and so on, and so on…

Engineering life into technology

Information optimization, presently known as intelligence, is a centerpiece phenomenon in the universe. It arises from simplicity, then continuously breaks symmetry and cycles through instability on its progression to increasingly dense nodes of complexity and diversity.

A contemporary imbalance has arisen that exponentially growing technology is potentially poised to be a sole successor to human intelligence. A complex dynamical system is emerging in response, the engineering of life into technology. Numerous macroscopic and microscopic elements are under development which could together stimulate advancement to the next node of symmetry and stability, creating a phase transition in intelligence which could broadly include many varieties of sentience.

The macroscopic and microscopic network elements that comprise the complex adaptive system, engineering life into technology, are illustrated in Figure 1.

Figure 1: Elements of engineering life into technology