Way back in 1989, one day, I knew this was Intuition.
Abraham Thomas
KNOW YOURSELF PODCAST Listen each week, to one podcast. Based on practical self improvement principles. From the insight of an engineer, back in 1989, about the data processing structure of the human mind, recognizing, filtering, storing patterns, without stopping. Patterns of guilt, shame, fear. How to silence painful subconscious patterns and become self aware.
The Artificial Intelligence Disadvantage
Overcome by the Watson Supercomputer
In February 2011, IBM overcame the disadvantages listed below, demonstrating the Watson Supercomputer, which recognizes patterns in text data to surpass the capabilities of the human mind.
The Artificial Intelligence Disadvantage
What Were The Tools That AI Lacked?
The handicap for Artificial Intelligence is that it lacks the pattern recognition tools needed to succeed. The study of Artificial Intelligence began formally in Dartmouth College in 1956 as an effort by a group of scientists to evaluate and mechanically replicate human intelligence on the assumption that "every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."
Their objective was to write computer programs, which could finally create human level intelligence in computers and robots. Those early scientists failed to imagine that the mind operates by recognizing patterns in its own astronomically large memories. Human intelligence is not a product of mathematical computation. They also woefully underestimated the memory storage capacity required to achieve such an ambitious objective.
Can An Algorithm Be Controlling The Mind?
I am not a physician, but an engineer. Way back in 1989, I catalogued how the ELIMINATION approach of an AI Expert System could reveal a way by which the nervous system could store and retrieve astronomically large memories. That insight is central to the six unique new premises presented in this website.
These new premises could explain an enigma. A physician is aware of thousands of diseases and their related symptoms. How does he note a symptom and focus on a single disease in less than half a second? How could he identify Disease X out of 8000 diseases with just a glance?
First, the total born and learned knowledge available to the doctor could not exist anywhere other than as the stored/retrieved data within the 100 billion neurons in his brain. The perceptions, sensations, feelings and physical activities of the doctor could only be enabled by the electrical impulses flowing through the axons of those neurons. The data enabling that process could be stored as digital combinations.
Second, combinatorial decisions of neurons cannot be made by any entity other than the axon hillock, which decides the axonal output of each neuron. The hillock receives hundreds of inputs from other neurons. Each hillock makes the pivotal neuronal decision about received inputs within 5 milliseconds. Axon hillocks could be storing digital combinations. It could be adding each new incoming digital combination to its memory store. The hillock could fire impulses, if it matched a stored combination. If not, it could inhibit further impulses. Using stored digital data to make decisions about incoming messages could make the axon hillocks intelligent.
Third, combinations are reported to enable a powerful coding mode for axon hillocks. Olfactory combinatorial data is known (Nobel Prize 2004) to store memories for millions of smells. Each one of 100 billion axon hillocks have around a 1000 links to other neurons. The hillocks can mathematically store more combinations than there are stars in the sky. Each new digital combination could be adding a new relationship link. In this infinite store, specific axon hillocks could be storing all the symptom = disease (S=D) links known to the doctor as digital combinations.
Fourth, instant communication is possible in the nervous system. Within five steps, information in one hillock can reach all other relevant neurons. Just 20 Ms for global awareness. Within the instant the doctor observes a symptom, feedback and feed forward links could inform every S=D link of the presence of the symptom. Only the S=D link of Disease X could be recalling the combination and recognizing the symptom.
Fifth, on not recognizing the symptom, all other S=D hillocks could be instantly inhibiting their impulses. The S=D links of Disease X could be continuing to fire. Those firing S=D link would be recalling past complaints, treatments and signs of Disease X, confirming the diagnosis. This could be enabling axon hillocks to identify Disease X out of 8000 in milliseconds. Eliminating improbable (unrecognized) prospects to arrive at a possible (recognized in the past) solution powers the powerful inductive logic of the mind!
Worldwide interest in this website is acknowledging its rationale. Not metaphysical theories, but processing of digital memories in axon hillocks could be explaining innumerable mysteries of the mind. Over three decades, this website has been assembling more and more evidence of the manipulation of emotional and physical behaviors by narrowly focused digital pattern recognition. It has also been receiving over 2 million page views from over 150 countries.
The Artificial Intelligence Disadvantage
What Was The Size Of Human Memories?
Nature
has transmitted the programmed memories needed to sustain life on an
unimaginable scale. The evolutionary process logically assembled
these in cell memories, testing myriad variations. The DNA memories
of every living thing on the planet has digital, error-correcting,
and self-replicating codes. Those vast blueprints improved with each
generation, across millions of years.
Organisms, whose
inherited traits were less suited for competition and reproduction,
were eliminated and those with advantageous traits were reproduced.
It was an enduring process, which had finally yielded astronauts and
neurosurgeons. That assembled code of knowledge described the
structures of humans and oak trees, hummingbirds and whales.
The
Artificial Intelligence Disadvantage
What Was The Competition For AI?
At
the moment of conception, a single fertilized human egg contains
information equivalent to about six billion chemical letters, which
can be recorded in a thousand 500 page books. In a grown human body,
with the DNA in each cell containing a sequence of over 3 billion
chemical nucleotide bases, the total of those codes in the body would
fill the Grand Canyon fifty times over with 500 page manuals. This
was just the code in the nucleus of cells. Back in 1956, scientists
attempted to imitate life, using computers with 1.5K memories.
The
Artificial Intelligence Disadvantage
What was the Scale of AI Parallel Processing?
Human
intelligence is supported by massive coded memories in myriad fields.
During the eons that it took to assemble the DNA codes, nature also
assembled ascending levels of knowledge in the immune system, the
spinal cord, the reticular system, the limbic system and finally, the
prefrontal regions.
Millions of potentially pathogenic organisms and
substances had to be neutralized. Cubic miles of recognition code
enabled the immune system to act decisively within the organs,
tissues, cells, and cell products of the body by differentiating
between myriad self and nonself entities.
Knowledge in the
spinal cord coordinated muscle movements millisecond by millisecond
to power the rippling movements of a centipede, the graceful steps of
a dancer, or the soaring flight of a bird. Memories for myriad smells
enabled the reptilian systems to distinguish between prey and
predator.
Knowledge in the limbic system responded suitably to a wide
range of events, which triggered anger and fear, or jealousy and
despair. The computation capabilities of the computer cannot manage
the pattern sensing responses of living things, based on knowledge
assembled over millions of years of history and a lifetime of
experience, play and imagination.
The
Artificial Intelligence Disadvantage
What was the Scale of the Human Cortex?
Human
intelligence added myriad new levels to animal intelligence. The
great achievements in science and art are based on stored knowledge
of millions of relationships between numerous fields. Every stroke of
the brush on a canvass by a master is backed by a knowledge of the
effects of line, color, perspective, texture and myriad details of
the facial representation of complex emotions.
A work of art is only
possible through immense inherited skills and those acquired over
years of practice and training. This lode of innate knowledge adds
cubic miles more of codes in the nervous system. Artificial
intelligence has barely touched on these complex pattern sensing
tasks.
The
Artificial Intelligence Disadvantage
Could AI Do Millions of Parallel Processes?
Artificial
intelligence fails in the speed of knowledge retrieval. An animal
mind stores billions of pages of code. This data is evaluated and
acted on within milliseconds. Subconscious processes of your immune
system utilize internal code recognition systems to attack a detected
invader. The olfactory system, using an inbuilt knowledge of smells,
enables an animal to instantly recognize a scent and sense danger. An
escape plan is hatched within the instant in which a wild animal
perceives a situation to be dangerous.
The action cannot be
stupid. The animal should not head into the predator. In the tangled
undergrowth of the wild, increasing distance from danger demanded
uncommon creativity. Memories of a lifetime had to be recalled. A
safe objective had to be chosen instantly. There are myriad options
in often treacherous terrain, with impassable obstructions and life
threatening dangers. That objective of getting away is even achieved
by slipping into a safe sanctuary, inaccessible to the predator. Like
the underside of a rock. Artificial intelligence cannot compete in
the field of real time information retrieval achieved by
animals.
The
Artificial Intelligence Disadvantage
How Far Has AI Reached?
Over
half a century, AI has traveled far. In chess, as in simple
computation, a computer can beat a human. Expert Systems assist the
industry with a wide range of diagnostic software. Robotic vehicles
have independently traversed long distances. Optical character
recognition and speech recognition have advanced enough to have many
practical applications.
But, massive storage and simultaneous
real time retrieval of multi-sensory data is still not within reach.
Natural language processing suffers from that problem. It requires an
understanding of language, culture, history and emotions to be able
to translate a sentence. Imagine the vast knowledge of the
environment needed for a robot to understand a simple context like
“outside.”
Common sense requires cubic miles of knowledge. Which
computer can store a lifetime of video memories and recall a single
frame within milliseconds? To succeed, artificial intelligence
requires myriad pattern sensing algorithms and the ability to extract
contextual knowledge in real time from cubic miles of coded
memories.
The
Artificial Intelligence Disadvantage
Overcome by the Watson
Supercomputer
In
February 2011, IBM overcame the disadvantages listed above,
demonstrating the Watson
Supercomputer, which
recognizes patterns in text data to surpass the capabilities of the
human mind.
KNOW YOURSELF PODCAST Listen each week, to one podcast. Based on practical self improvement principles. From the insight of an engineer, back in 1989, about the data processing structure of the human mind, recognizing, filtering, storing patterns, without stopping. Patterns of guilt, shame, fear. How to silence painful subconscious patterns and become self aware.
Jordan Peterson - Happiness
Can Artificial Intelligence Replace Humans?
The Hard Problem Of Consciousness