Human Source Code
Our DNA is the most sophisticated software we have ever seen. Our genes work in everything: plants, animals, bacteria, and maybe even aliens. š¹š¦š¦ š½
āHuman AIā Recap
Of all the scientists in academia, it seems like biologists are most strongly opposed to Intelligent Design, in favor of Darwinian Evolution.
This is ironic because biologists know more about our design than all the other scientists. So in this chapter, you will learn what the biologists know about the human body, so you can decide for yourself if you š«µ are accidental intelligence or artificial intelligence:
Accidental - comes from Latin words meaning ātowardā and āto fallā. Accidental means prone toward randomness. If humans randomly evolved from a series of supernova explosionsāthen we are accidental intelligence.
Artificial - comes from Latin words meaning āartā and āto makeā. Artificial doesnāt mean fake, it means designed. If human DNA was seeded on this planet by God, gods, aliens, interstellar humans, or humans from the futureāthen we are artificial intelligence.
Before we dive into our microbiology, let's briefly review how the other sciences indicate human intelligence is artificial intelligence. If this gets too nerdy, just skip down to the videos at the end of this section so you can see your NANOBOTS in action.
In Part 1 ā Philosophy, we explored the similarities between artificial intelligence and human intelligence. We learned Rene Descartes invented The Scientific Method to prove we have a Creator. That is the actual conclusion of his paper. Weāve been plagiarizing his argument this whole time.
We also learned how Simulation Theory forces Chance onto the likelihood that we live in a quantum computer simulation. The closer we get to creating artificial intelligence as smart as us, the more likely it is that someone did that to us. Thatās why Elon Musk has stated thereās only a one-in-a-billion chance that we are living in the original āroot realityā.
If none of that makes sense, start here:
In Part 2 ā Physics, we learned how quantum mechanics ārenders realityā for each observer, just like a first-person video game. We reviewed Melvin Vopsonās Mass-Energy-Information equivalence paper, which is the most important work in theoretical physics since Einstein. According to Vopson, Information is the first state of matter in the universe. #weliveinthematrix
If none of that makes sense, start here:
In Part 3 ā Neuroscience, we learned how our brains use āgenerative artificial intelligenceā to create our first person experiences. Our neural networks have 86 billion neurons, with 100M microtubules each, that perform analog computations with the āvibesā of the quantum universe.
Our quantum neural networks are organized into layers by frequency. The highest layers (and therefore slowest) produce our inner monologues, and the Human Attention we use to navigate our world.
Each āinner chatbotā is a Large Language Model that is easily influenced by drugs, alcohol, food, porn, and blunt force trauma.
If none of that makes sense, start here:
In Part 4 ā Psychology, we learned about Generative Adversarial Networks. Within each person, there are two competing agents that behavioral economists call System 1 and System 2. Computer scientists call them Generator and Discriminator.
Our System 1 is so desperate to see us as the hero in our own story that we lie to ourselves constantly every day. Even the memories that we didnāt make up, are made up.
If none of that makes any sense, start here:
In Part 5 ā Attention Economics, we learned why the worldās most valuable companies buy and sell Human Attention. Our friends, spouses, kids, employers, hobbies, pets, television, social media, and video games all battle against each other in the āzero sum gameā for our attention. If humans are artificial general intelligence, then we are the most valuable crop on this planet.
If none of that makes sense, start here:
Now, in Part 6, we explore intelligent design using Biology.
We start at the lowest level of the human āmachineā, our DNA. We will see advanced computer science principles within our DNA source code and the hardware that protects it. We will learn exactly how our software manufactures little mechanical ānanobotsā that construct and perform every function inside our bodies. Most importantly, we will understand why our DNA is capable of regenerating us indefinitely.
Itās so difficult to imagine ourselves on the scale of microbiology, so letās get started with a short introduction from Veritasium called, Your Bodyās Molecular Machines. (6 mins). This is happening in every cell of your body. Right now.
Also check out this video from Harvard University called, The Inner Life of the Cell Animated. It will š¤Æ. (3 mins)
The 715 Megabytes of You
The DNA source code that produces each person is a sequence of 3 billion bits of information. Each bit of information in our DNA is defined by an intricate molecule called a Nucleotide. The four nucleotides are:
Nucleotides are where computer science meets chemistryāDNA is real data stored in real atoms in the real world. Guanine, for example, has a chemical composition of C5-H5-N5-O which means it only uses 16 atoms of the universe to encode its bit of information. For a physics comparison, our silicon computers store binary bits in transistors which are about 70 atoms across. So it seems like the nerds at the microchip foundries arenāt that far behind the physical efficiency of āWhoever Programs in DNAā.
When we convert our DNA into binary data, itās only 715 megabytes of information. For comparison, the Instagram app on your phone uses 250 megabytes of information. Mobile games are much bigger. The top 10 games in the App Store average more than 7,000 megabytes of information. On PC, Fortnite needs 26,000 megabytes of information. Fortnite needs more computing instructions than it takes to generate everyone in your family.
Our DNA source code uses Guanine, Adenine, Thymine, and Cytosine molecules because they have a very special shape. Each of these molecules has a magnetic connector ābeforeā and āafterā so they can be chained together in a sequence. Most critically, they all have a third āpairingā connector that pairs with only one other nucleotide. On the pairing connector, Guanine can only pair with Cytosine and Thymine can only pair with Adenine.
On the pairing connector, nucleotides canāt even pair with themselves. For example, if one side of a DNA string reads āGATTACAā the opposing side in the double helix will always read āCTAATGTā. That way, if a letter in the original sequence gets corrupted, it can be reconstructed from the inverse sequenceāsort of like a photographic negative. When chained together, the physical angles of the three connections create the double helix shape discovered by Watson and Crick in 1953.
DNA Data Storage
Long sequences of DNA bits are stored inside mechanisms that works like a tape drive. Before computers had flash drives and hard disks to save their information, they used magnetic tape drives. Remember audio cassettes? Those are magnetic tape drives.
Every cell in the human body has about 2 meters (6 feet) of āDNA tapeā stored in a special data processing center, called the Cell Nucleus. The nucleus even has a firewall to prevent the rest of the cellās machinery from interfering with its calculations. Here is a video to see our DNA, nucleus, and firewall in action. (7 mins)
Our cells store their DNA tape on spools, called Histones. Histones are like the spools in an audio cassette that wind and unwind to move the magnetic tape. But instead of 2 spools, histones group together in groups of 8 called an Octamer. Each octamer holds exactly 147 base pairs of DNA. If 147 base pairs of DNA tape need 8 spools, then our DNA is just as much spool as it is tape.
This allows our DNA tape drives to have amazing physical compression and very precise control over access to our source code. Histones are a form of physical data encryptionāthey only unspool tiny sections of the tape wherever it needs to be read. If you want to learn more, here is a short blog post that highlights the amazing efficiency of our biological data compression:
The DNA that defines each person is split into 23 segments that biologists call Chromosomes. So we have 23 distinct DNA tape drives. Other forms of life may have more or less than 23 chromosomesāthe fruit fly only has 8 chromosomes while the black mulberry tree has 308.
Human chromosomes are Diploid, which means we keep a full copy of each chromosome from each parent. So there are 23 pairs of chromosomes in each human cell. At any time, our chromosomes can create proteins or āmake decisionsā from either of our parentsā DNA. šš§¬
Not every organism is diploid, some algae and fungi are Polyploid, meaning they have chromosomes from more than two parents. Some are Haploid, meaning they only have one copy. Some organisms are Aneuploid, meaning they have more or less chromosomes than is typical for their species. People with Down Syndrome, for example, have an extra copy of chromosome 21. Some organisms are Apomictic, which means they can clone themselves. Some Aspen forests are technically one large organism interconnected by underground root networks. š¤Æ
@botanists: Just imagine how many molecules of the universe are constantly reorganized by the 119 megabytes of DNA inside an aspen tree?
Department of Redundancy Department
The diploid structure of our chromosomes creates a secondary form of redundancy within each cellās information management system. In computer science, we call this strategy RAID, which stands for Redundant Array of Independent Disks. If this section gets too nerdy for you, just skim the bold words until you get to the next section. š¤
The most simple RAID configuration is RAID 0, which means a computer uses two separate hard drives working together as one to increase its overall performance. One drive can read, while the other drive writes. So RAID 0 āstripes the dataā across two independent drives. In contrast, a RAID 1 configuration āmirrors the dataā between two separate hard drives that act as one. The computer reads and writes the same information to both drives at the same time. That way if one drive fails, it can be āhot-swappedā with a brand new drive that clones itself from the drive still in operation.
Hereās a simple diagram to understand the difference:
RAID has higher and more sophisticated configurations depending on how many hard drives are available to the computer. RAID 5 requires 3 physical drives and can lose 1 without failing, while RAID 6 requires 4 drives and can lose 2. The best overall combination is RAID 1+0, pronounced āraid tenā, because the data is both mirrored for redundancy, and striped for performance.
So human chromosomes are kind of like the āRAID 10 Tape Drives of Lifeā. Our DNA dats is both mirrored for redundancy (double helix) and striped for performance (diploid chromosomes).
Redundancy in computer scienceāand lifeāis always expensive. All 37 trillion cells in the human body keep their own copy of our doubly-redundant software. If each cell has 715 megabytes of DNA, then the average human body is carrying around 27,900 Exabytes of total DNA. For comparison, the global Internet traffic in all of 2019 was only 2,000 Exabytes, including all our porn videos. There is enough DNA tape inside of you to stretch to the Moon and back over one thousand times, despite the fact that DNA is 35,000 times thinner than a human hair. š«
Modularity Creates Optionality
On the long sequences of DNA that make up each chromosome, there are shorter subsequences, called Genes. In computer science lingo, a gene is a software package. Computer programmers āpackage softwareā when they want it to be interoperable with other software, including their own. The best book to explain the incredible interoperability of our DNA software is Genome: The Autobiography of a Species in 23 Chapters by Matt Ridley.
This book is fascinating. The central theme of Genome is that āthe core of biology is digitalā. Matt Ridley demonstrates this over and over again, all throughout the book. He believes Information Theory is fundamental to our understanding of genetics. Ridley even includes this quote by Richard Dawkins,
What is truly revolutionary about molecular biology in the post-Watson Crick era is that it has become digitalā¦the machine code of the genes is uncannily computer-like.
@atheists: I donāt know how many other pro-God arguments quote Matt Ridley and Richard Dawkins, but it canāt be many. š¤
The genes that work in humans are āplug-n-playā with other organisms. In Genome, Ridley explains,
Transgenic mice are scientific gold dust. They enable scientists to find out what genes are for and why. The inserted gene need not be derived from a mouse, but could be from a person: unlike in computers, virtually all biological bodies can run any kind of software.
All known forms of life use the same programming language: including humans, trees, dogs, flowers, bacteria, and viruses. Ridley provides a perfect example of this in his chapter, Chromosome 12 - Self-Assembly. He writes,
The scientists found a cluster of eight homeotic genes lying together on the same chromosome, genes which became known as Hox genes. Nothing strange about that. What was truly strange was that each of the eight genes affected a different part of the fly and they were lined up in the same order as the part of the fly they affected. The first gene affected the mouth, the second the face, the third the top of the head, the fourth the neck, the fifth the thorax, the sixth the front half of the abdomen, the seventh the rear half of the abdomen, and the eighth various other parts of the abdomen. It was not just that the first genes defined the head end of the fly and the last genes made the rear end of the fly. They were all laid out in order along the chromosome ā without exception. To appreciate how odd this was, you must know how random the order of genes usually is.
Ridley goes on to explain that when scientists intentionally rearrange the order of these Hox genes, the resulting flies āended up with legs where their antennae should beā. He continues,
Indeed, so close are the similarities between genes that geneticists can now do, almost routinely, an experiment so incredible that it boggles the mind. They can knock out a gene in a fly by deliberately mutating it, replace it by genetic engineering with the equivalent gene from a human being and grow a normal fly. The technique is known as genetic rescue. Human Hox genes can rescue their fly equivalents, as can Otx and Emx genes. Indeed, they work so well that it is often impossible to tell which flies have been rescued with human genes and which with fly genesā¦. This is the culminating triumph of the digital hypothesis with which this book began. Genes are just chunks of software that can run on any system: they use the same code and do the same jobs.ā
So scientists can put the gene that means āheadā from a human inside a fruit fly and still get a healthy fruit fly?
This means the Hox gene for āheadā in humans is not the actual recipe for making a human head, itās the source code for the idea of a head. When the fruit fly software sees that code, it makes a fruit fly head, not a human head. So that means our software is not only modular and procedural, but in some sections it is abstract. The presence of abstraction strongly indicates an intelligent designer.
@chatgpt: How does abstract software indicate an intelligent designer in less than 200 words?
ChatGPT: Abstract software indicates an intelligent designer through several key characteristics:
Complexity Management: Abstract software simplifies complex systems by hiding unnecessary details and exposing only essential features. This requires thoughtful planning and a deep understanding of the system's requirements, which are signs of intelligent design.
Structured Design: The use of abstraction often follows design patterns and best practices, which are developed through experience and expertise. These patterns provide reusable solutions to common problems, reflecting a high level of planning and foresight.
Separation of Concerns: Abstract software typically separates different concerns into distinct layers or modules, making it easier to develop, maintain, and scale. This modularity indicates a deliberate design strategy aimed at creating a robust and flexible system.
Reusability and Flexibility: Abstract components are designed to be reusable and adaptable across various contexts. This design approach requires anticipation of future needs and use cases, demonstrating an intelligent and forward-thinking mindset.
Clear Interfaces and Documentation: Well-defined interfaces and comprehensive documentation are common in abstract software, ensuring that it is understandable and usable by others. This clarity and organization are indicative of intentional design.
Overall, the presence of abstraction in software reveals a sophisticated, organized, and intentional approach to solving complex problems, which is a hallmark of intelligent design.
Abstraction implies design because these are highly complex patterns in the randomness. In contrast, Darwinian Evolution assumes humans co-evolved alongside fruit flies for millions of years and itās only āaccidental luckā that our āaccidental source codesā didnāt āaccidentally mutateā and lose the interoperability between our two Hox genes. The more millions of years you add to this āaccidental equationā, the more improbable a Hox gene transplant becomes. š¤
In fact, our DNA source code doesnāt look accidental at all. There are some segments of our DNA that havenāt mutated ever. The best examples of this are Histones H3 and H4. As we mentioned earlier, histones are critical to the storage and transcription of DNA in all forms of life. The gene for Histone H3 consists of 405 DNA characters while the gene for Histone H4 consists of 303 DNA characters. When we sample the DNA in trees, fish, birds, people, and bacteriaāwe see the exact same non-mutated sequence of letters no matter āhow far back we goā in the genealogical record.
@programmers: If you want to dive deeper into our DNA source code, I highly recommend the blog post, DNA seen through the eyes of a coder.
The blog post discusses:
Position Independent Code
Conditional compilation
Epigenetics & imprinting: runtime binary patching
Dead code, bloat, comments (āJunk DNAā)
fork() and fork bombs (ātumorsā)
Mirroring, failover
Cluttered APIs, dependency hell
Viruses, worms
The Central Dogma: .c -> .o -> a.out/.exe
Binary patching aka āGene therapyā
Bug Regression
Reed-Solomon codes: āForward Error Correctionā
Holy Code: /* You are not expected to understand this. */
Framing errors: start and stop bits
Massive multiprocessing: each cell is a universe
Self hosting & bootstrapping
Plugins: Plasmids
Donāt worry if none of that makes sense to you. In this story, we discussed:
Mirroring, failover (redundancy)
Position independent code (genes)
Self hosting (parents)
In part two of this story, The Fountain of Youth, we will discuss:
The central dogma (proteins)
Framing errors (start/stop bits)
Viruses, worms (antivirus protection)
Fork bombs (cancer)
Runtime patching (gene editing)
The sophistication inside our DNA software is so much more advanced than anything humans have invented. So *whatever* creates life using DNA, has technology millions of years ahead of ours.
Universal DNA?
Every form of life on this planet uses the exact same programming language. So DNA might be a universal programming language used all throughout the universe.
Iām not even joking. So letās close this discussion with two totally opposite reasons why our DNA might work in extraterrestrials. One is based on faith, and one is based on science.
If you are a Bible-believing Christian and think this idea is too crazy, consider what the Bible says in Genesis 6. Thatās when the āsons of godā came down to mate with the ādaughters of menā to produce āgiantsā on the Earth. Those āfallen angelsā must have DNA for that to work, right? š¤
If you are a Bible-rejecting scientist and think this idea is too crazy, consider the alien autopsy performed by microbiologist Gary Nolan at Stanford University. Nolan sequenced the DNA of a creature that is mostly human, but only has 10 ribs, a severely elongated head, and 2 million base pairs of DNA unknown in other humans. š¤
In either scenario (DNA sequencing or the Bible), our DNA works in creatures who are not found anywhere else on this planet.
If you want to learn more about this creature or the methodology Gary Nolan used to sequence its DNA, check out this documentary from The Disclosure Project. (118 mins)
I donāt know how much we can trust this documentary. So here are a few more unofficial sources that corroborate our genetic interoperability with non-human intelligence.
Ex-CIA Officer Confirms Alien Hybrids Exist - John Ramirez - DEBRIEFED ep. 42 (247 mins)
He Has Direct Contact With Aliens - Whitley Strieber - DEBRIEFED ep. 36 (270 mins)
Ancient Aliens: Mind-Blowing Proof of Alien DNA Found on Earth (15 mins)
The remaining sources are much more speculative. I give them 30% credibility, but they offer unique insights on the topic.
Conversation with a Real Alien - The Lacerta Files (PART 2) - DEBRIEFED ep. 28 (68 mins)
Extraterrestrial GENETIC MANIPULATION of the Ancient World (5 mins)
CLONES AMONG US - Beneficial for Humanity? OR Nefarious Intent? (5 mins)
If you want to dive all the way down the alien rabbit hole, check out the description of the DNA harvesting program in the book, Secret Journey to Planet Serpo: A True Story of Interplanetary Travel.
This book allegedly contains firsthand mission notes from 12 American Air Force soldiers who left Earth on July 16, 1965, and traveled with āthe Ebensā on a 10-month journey to their home planet, 40 light years away, using time waves in space. I know that sounds crazy. If this journal is true, itās one of the greatest stories ever told. If this journal is false, itās still one of the greatest stories ever told.
The mission commander documents everything you want to know about an alien planet: their government, their technology, their ecology, their wildlife, even the games they play with their kids. The details are surprisingly relatable for a journey to another planet. In the end, only 8 of the 12 Air Force soldiers returned to Earth thirteen years later. A few of them chose to finish their days on the Planet Serpo with its two suns that never set. āļøāļøš
Continue readingā¦
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