AI Dead End

Artificial Intelligence is a dead end. It is a dead end because it is artificial. It is a simulation only. Neither machine learning nor deep learning, which have dominated the space for the last decade, are capable of achieving anything beyond pretend rote error reduction at high speed.
The future of learning, that is, the actual application of knowledge, is presently emerging and is a distinctly different approach called Synthetic Intelligence via natural learning. This is the way that all organisms learn. From viruses to simple cells to complex animal life, learning takes place in nature, by nature, following the laws of nature and of nature’s God.
ami has a vision to pursue this path towards the future of real learning by man-created forms. Synthetic Intelligence, which differs from artificial intelligence in that it is real learning and not a simulated appearance of learning, but it is man-made not made by nature; but it does expressly follow the rules of nature in its approach.

The Math

The human mind functions in a terrifyingly complex organ: the brain, which uses only a tiny amount of energy (12 watts of power) to perform about 1021 calculations per second, with 1017 calculations occurring in the visual cortex alone.
The largest super computer in the world, the Japanese Fugaku, which costs more than $1 billion, has hundreds of thousands of CPUs, uses nearly 30,000 watts of power, and occupies more than 20,000 square feet of building space. Yet all this technology does not match the amount of work performed by a child’s two eyes.


Using photons, and quantum states, a graphene computer could perform the same tasks at a scale 1.5 million times more efficiently. A single graphene computer would perform in 200 seconds the same calculations that would take Fugaku 1,000 years. Scaling down, this means a graphene computer of the same abilities as this Japanese super computer would be the size of a laptop and use 40 watts of power.
This is the revolution that is happening right now. ami, in partnership with radix and HexaGraphica, will be on the leading edge of the convergence of these three technologies.