The human brain has 80-100 billion brain neurons (even 2B+ in the
stomach). The parallel way in which it handles sensory data and
its ability to combine timed different inputs is amazing. The use
of symbolic retrieval to speed up decisions, makes previously
encountered situations instantly available. The link between body
and maind is inherent and produces a usually synced organism. The
decison making also involves history, logic emotions, hints and
blind luck. It is also easily damaged, illogical and sometimes
annoying.
Synthetic physical entities are durable, can be produced in great
numbers quickly and start with their abilities immediately after
manufacture. They are limited by power requirements and require
external input for deeper analytical power. The bit barns have a
much greater ability to handle data and access to power. They are
of course not mobile. Basically "AI" as it stands is 2D and has to
build up layers to simulate the 3D of the real world. The present
working "neuron" maximum at the present is around the 1B mark but
design and engineering move faster than evolution.
Google's Deepmind AlphaGo victory over traditional Go champions
was a stunning exhibition of how far machine learning has come.
It's use of unorthodox and persistent winning algorithms showed
the advancement of mathmatical logic. What was downplayed was the
massive use of background resources including computer, power and
technical support to win this one form of board game. Mr. Fan Hui
on the other hand had his own knowledge, a cup of coffee and
various snacks to keep him ticking over. This shows the inefficent
but dependable use of corporate brawn.
