Earlier I proposed that evolution is driven by a “Mutation Algorithm.” I said the Mutation Algorithm is the highest software layer in DNA and it explores evolutionary pathways by testing new features (fur, skin patterns, claws, limbs, wings) like switching out blades on a Swiss Army Knife.
I explained why Junk DNA is one of the most backwards theories in the history of modern science.
I said that the “random mutation” theory of evolution is an anti-scientific proposal which fails to presume underlying order and teaches us nothing.
Today I continue with the implications of turning Darwinism on its head and assuming evolution operates top-down not bottom-up:
1. Discoveries first made in DNA will trigger watershed advances in “Artificial Intelligence.” Because of this research, AI will finally move from futuristic dream to practical reality.
Most evangelists of Artificial Intelligence operate from a materialistic presupposition that intelligence automatically “emerges” from complexity.
Their line of reasoning is that if life somehow got started in the primordial soup and eventually gave birth to sentient humans, then surely computers will likewise become intelligent once they get fast enough or if the software gets good enough.
Occasionally there is even talk of the Internet itself someday becoming conscious.
All these beliefs presume that information is a bottom-up phenomenon, but I propose the exact opposite. Everything we know about digital communication states the opposite. The Darwinian theory is totally backwards.
The only reason evolution happens at all is that the genome is literally intelligent; that intelligence in some form is essential to the viability of life.
2. Random Mutations, far from being the driving force behind evolution, are universally detrimental to the survival of the organism. In a complete reversal of the former Darwinian theory, DNA research will definitively demonstrate that random mutation is not capable of producing “evolution of species” at all, but only destroys information.
Theodosius Dobzhansky’s failed fruit fly radiation experiments will finally be accepted as an example of irreversibly corrupted information. The reason of course is that random mutation has the same effect as noise in man-made communication systems: it causes irreversible damage.
Also, positive genetic changes previously attributed to random mutation will be understood to be the result of error correction mechanisms producing an acceptable or beneficial result, even as they resist accidental changes.
3. Birth defects are the result of random mutations of a defect-free ancestor. Mutation rate models will point to a zero-defect ancestor with birth defects accumulating over time.
DNA that is presently seen to have no function can also be shown to be a byproduct of random mutations and destroyed information. Random mutations cause cancer, tumors, aging, congenital abnormalities and death – not improved organisms or new species.
4. We will discover that the Human Genome can be repaired but not improved. The best human genetic engineering can do is, for example, repair birth defects, which are the result of random mutations. The only evolution of humans that is theoretically possible is already built into the genome (and thus may still be unfolding).
Humans cannot successfully “direct our own evolution” because we’re nowhere near as smart as the intelligence that created life in the first place and we do not have the ability to gather as much data as the Mutation Algorithm can gather.
Humans will not “take over” our own evolution in some triumphal Eugenics experiment of the future.
The very notion of engineering our own evolution is preposterous. It will continue to be preposterous until the genome is fully understood, an achievement that is at least several hundred years away.
5. This new view of evolution as an engineered process (i.e. the genome uses concepts comparable to Six Sigma, Kaizen and Quality Control to adapt to its environment) will lead to specific discoveries and systems in DNA that can be directly applied to man-made systems.
This is in stark contrast to Darwinism, which is virtually useless for teaching anyone how to design anything.
(After you learned about Darwinian evolution, what did you suddenly know how to do or build as a result? Nothing!)
Our cave-man ancestors knew that the fittest survive. There’s nothing profound about that; and Random mutation as an alleged path to improved designs is useless.
If Taguchi or other Continuous Improvement methods are the fastest way to improve a design, a random walk is actually the fastest way to destroy a design.
(Also notice that even in the best of circumstances, like Dawkins ‘methinks it is like a weasel’ program, Random Mutation still does not work without a pre-programmed selective goal.)
Genetic Algorithms that mindlessly grind through millions of permutations are notoriously inefficient, which is why their use in the software industry is so limited.
Thus the most potentially productive hypothesis for evolution is that it follows an algorithm that’s pre-engineered for maximum improvement within the smallest possible number of steps. A program that starts with single cells and ends up with human beings in only 3 billion years is an engineering achievement of the highest order.
Reverse-engineering the Mutation Algorithm will be one of the most powerful future applications of applied science. To understand this 21st century view of evolution will be to know something that has immensely practical, real-world applications.
Eventually, unlocking the secrets of the Mutation Algorithm will be the “Holy Grail” of biology. It’s the secret to everything. The 20th century theory of random mutation will be seen as being just as foolish and detrimental to the practice of real science as the church’s opposition to Galileo.
6. The adaptive capabilities of DNA (the Mutation Algorithm) are best understood as a function of intelligence. This adaptive algorithm that makes evolution possible does not blindly plod forward the way man-made programs do, but makes remarkably fit choices in environments that it has not faced before.
7. DNA’s information storage is an optimal combination of physical data density, error-minimizing redundancy, and data compression.
Common sense observation: The entire human genome builds a 3-dimensional biological machine with a lifespan of 70-80 years and all the data necessary to do this can fit on a 750 Megabyte CD-ROM. A DNA molecule is thousands of times denser than a CD-ROM. Windows Vista can’t begin to fit on a CD-ROM, it has thousands of bugs and requires a never-ending series of software patches.
A man-made data storage program (i.e. CAD program) would require hundreds, perhaps thousands of times more storage space than DNA, to accurately represent the human body.
Hypothesis: DNA currently stores data at a higher density than any man-made digital information storage system, and as we approach or attempt to surpass the DNA benchmark we will encounter physical limitations that result in severe tradeoffs (i.e. greatly increased possibilities of long-term data loss).
The resources DNA devotes to error correction are extensive and absolutely necessary. In DNA a single sequence of data is used in more ways and does more jobs than researchers presently imagine.
In DNA, nothing goes to waste.
Coming in Part 4: An Information Theory application of the Anthropic Principle.