Wille zum Nichtsterben.

οἵη περ φύλλων γενεὴ τοίη δὲ καὶ ἀνδρῶν·
φύλλα τὰ μέν τ’ ἄνεμος χαμάδις χέει, ἄλλα δέ θ’ ὕλη
τηλεθόωσα φύει, ἔαρος δ’ ἐπιγίγνεται ὥρη·
ὣς ἀνδρῶν γενεὴ ἣ μὲν φύει ἣ δ’ ἀπολήγει.

(“Like the generations of leaves are those of men.
The wind scatters one generation to the ground;
the forest grows another when spring returns.
So one generation of men grows while another passes away.”)

- Homer, Iliad, VI.146–149 -

In the previous post we traced Wille zum Leben from the moment immediately after the Big Bang to the rise of Human Agency and Will. We watched the birth and death of stars, and the emergence of Life. Somewhere during the journey we bid farewell to Schopenhauer, only to resurrect Wille at the end.

from a soup of quarks and particles,

we became protons and neutrons,

nuclei and atoms,

we gained a boundary; assembled into cells, and somewhere along the way burst into Life,

we learned to remember and act on that memory,

and finally we began to desire, and try to fulfill those desires.

Wille zum Leben became Tendenz zur Reaktion.

Tendenz zur Reaktion became Tendenz zur Persistenz.

Tendenz zur Persistenz became Regulation zur Beständigkeit.

Regulation zur Beständigkeit became auf Beständigkeit gerichtete Regulation.

And finally auf Beständigkeit gerichtete Regulation returned to Wille zum Leben.

But even after billions of years of:

Reaction.
  Persistence.
  Regulation.
  Selection.
  Memory.
  Prediction.
  Agency.
  Will.

After all that extraordinary machinery devoted to remaining, one small fact remained:

we still die.

That is the tragedy built into Schopenhauer's

Striving.

Because everything up to this point has been about improving:

P(Sₜ₊₁)

Death reveals the hard limit for the individual organism:

limₜ→∞ P(Sₜ) = 0

(as time tends toward infinity, the probability that this individual System continues to exist tends toward zero)

The System has spent billions of years getting better at continuing.

It still loses.

I must remain.

is an unachievable mission statement.

From the moment we're born we spend our entire lives not-dying.

So much so that for many of us we forget to live.

We eat so that we don't starve.

We take so that we don't lack.

We kill so that we don't get killed.

We gather, gather, gather.

We strive, strive, strive.

We are all Camus' Sisyphus.

From the moment we're born we spend our entire lives not-dying.

That is Wille zum Nichtsterben.

- ה -

ἐπὶ πᾶσι δὲ τὸν θάνατον ἵλεῳ τῇ γνώμῃ περιμένοντα ὡς οὐδὲν ἄλλο ἢ λύσιν τῶν στοιχείων, ἐξ ὧν ἕκαστον ζῷον συγκρίνεται.

(“And finally, await Death with a tranquil mind,
as nothing other than the dissolution of the elements from which every living thing is composed.”)

- Marcus Aurelius, Meditations, II.17 -

As much as Life is a mystery, so is Death.

Why Do We Die?

Strictly speaking, Life is an organized network of chemical Reactions, where:

Disturbance → Reaction → Restoration

D↑ → R → D↓

That was our third primitive, Regulation zur Beständigkeit.

Death occurs when the System can no longer pay the energetic cost required to maintain those Differences.

Eventually, Inside ≠ Outside

begins collapsing toward, Inside ≈ Outside

Instead of, D↑ → R → D↓

you eventually get, D↑ → R → D↑

The System reacts.

But the Reaction is no longer enough.

Then failure compounds:

Damage → weaker Regulation → more Damage → still weaker Regulation

until the organization that made the System a System begins to collapse.

Usually, it doesn't suddenly stop. It loses the ability to keep itself going.

A heart stops circulating oxygen.

Without oxygen, cells cannot maintain ATP production.

Without sufficient ATP, ion pumps fail.

Membrane gradients collapse.

Cells swell and rupture or enter programmed death pathways.

Organs cease coordinating with one another.

Chemical Reaction continues throughout.

What disappears is the organization of Reaction around Continuity.

Death is not when matter stops reacting.

Death is when its Reactions stop returning it to itself.

Life:

Reaction → Persistence → Regulation → Life

Death:

Life → loss of Regulation → loss of Persistence → Death → Reaction

The organism doesn't become nothing.

It becomes chemistry again.

Life is an actively maintained state, not the default state of matter.

Death is when a System can no longer maintain itself.

Death is where homeostasis and striving gives way to Entropy.

Why Must We Die?

As we have seen above, we die when:

Inside ≠ Outside can no longer be Maintained,

and D↑ → R → D↓ can no longer be Regulated.

A tiger eats us.

An arrow pierces our heart.

Poison contaminates our bloodstream.

Cancer eats away our body.

We grow old.

The first four reasons are immediately understandable.

But, why does merely having existed for longer make S increasingly likely to fail?

The reason is morbidly simple:

Regulation is never free.

Every moment the organism exists, it must:

repair DNA,

replace damaged proteins,

maintain membranes,

remove damaged cells,

replace lost cells,

maintain mitochondria,

fight pathogens,

control mutations,

coordinate trillions of cells.

Simply put:

Damage produced = dₜ

Damage repaired/removed = rₜ

Then: Aₜ₊₁ = Aₜ + dₜ − rₜ

where A is accumulated unresolved damage/dysfunction.

As long as: rₜ ≈ dₜ

Regulation holds.

But if, over time: rₜ < dₜ

then: Aₜ₊₁ > Aₜ

And eventually the nasty feedback begins:

Damage ↑ → Regulation ↓ → Repair ↓ → Damage ↑

D↑ → R → D↓

slowly becomes

D↑ → R → D≈

eventually

D↑ → R → D↑

then

Death

Aging does not kill us through one mechanism. It progressively reduces the System’s ability to recover from disturbance until some particular failure becomes unrecoverable.

DNA accumulates mutations and damage;

epigenetic regulation drifts;

proteins become damaged or misfolded and cellular cleanup becomes less effective;

mitochondria and metabolism change;

stem-cell populations lose regenerative capacity;

immune function deteriorates;

senescent cells accumulate and can promote chronic inflammation.

These processes interact rather than occurring independently. NIA research programs explicitly treat aging as a problem of interconnected molecular damage, senescence, genomic instability, mitochondrial dysfunction and declining cellular maintenance.

Aging can become self-amplifying.

Eventually the person doesn't usually die of an abstract thing called “aging.” They die because this reduced reserve makes a particular failure unrecoverable: pneumonia, cancer, stroke, arrhythmia, heart failure, kidney failure, infection, etc.

Then, if natural Selection built extraordinarily elaborate machinery for keeping S alive,

why didn't it simply keep improving that machinery

until S became indefinitely maintainable?

The honest answer to that question is:

We don't actually know that Life must die of aging.

We know many organisms senesce (to grow old or to deteriorate with age).
We know some organisms show negligible or extremely slow senescence.
We have several evolutionary explanations for why senescence is common.
But we do not have a single demonstrated law saying that living Systems necessarily have to age and die.

Hydra are tiny freshwater animals. They’re simple cnidarians, relatives of jellyfish and sea anemones, usually only a few millimeters long. They look like a tiny tube with a mouth at one end surrounded by tentacles.

What makes them fascinating is that some species, especially Hydra vulgaris, show negligible senescence under laboratory conditions. Their mortality rate does not noticeably increase with age, and their reproductive output does not show the usual age-related decline. Long-term studies have therefore found no conventional evidence of aging in these animals.

A big reason seems to be their body organization. Hydra continuously renew themselves using highly active stem-cell populations. Old cells are constantly being replaced, so the animal is less like a fixed body slowly wearing out and more like a continuously rebuilt System.

Hydra are not literally indestructible. You can kill one by injury, starvation, disease, environmental stress, etc. And not every Hydra species behaves identically; some can show senescence under particular conditions.

Hydra can die. They just don't seem to get increasingly worse at not-dying merely because they have been alive longer.

Which leads us to an interesting thought:

Perhaps Life has simply had much less evolutionary exposure to very old age than to youth.

Not because “Life wants reproduction instead,” but because historically many organisms died from predation, infection, starvation, accident, environmental change, etc. before reaching extreme ages. A hereditary Difference whose harmful consequence appears very late therefore may have had much less opportunity to affect which variants remained represented in later generations. This is basically the logic behind Medawar's mutation-accumulation/“selection shadow” idea.

I₁: works well until age 10, then fails.

I₂: works well until age 100.

If almost every organism in the ancestral environment dies before age 8 from external causes, then the Difference between:

death at 10 and death at 100, rarely becomes consequential.

The Environment never gets much opportunity to discriminate between them.

Some other theories of death:

Mutation accumulation: late-acting harmful Differences can persist because their consequences are weakly exposed to Selection.

Antagonistic pleiotropy: a Difference that increases Persistence or reproduction early may remain even if it causes harm later.

Disposable soma: finite resources may produce tradeoffs between maintenance, growth, reproduction, etc.

These remain complementary evolutionary frameworks rather than a settled singular answer.

Perhaps Life has simply spent far more evolutionary time being young than being old.

Not literally more chronological time, of course.

More selective exposure.

For billions of years, young and middle-aged failures were repeatedly encountered and filtered.

Extremely late-life failures were encountered much less often.

So Regulation became astonishingly good.

Just perhaps not infinitely good.

And crucially, nobody decided where to stop.

But if Death was the end of the story then this second post would be very short.

But Life had a few more tricks up its sleeve.

In this post, we explore what some of them are.

- ה -

स यत्कुमारं जन्मनोऽग्रेऽधिभावयत्यात्मानमेव तद्भावयत्येषं लोकानां सन्तत्या ।
एवं सन्तता हीमे लोकास्तदस्य द्वितीयं जन्म ॥

(“In nurturing the child, he nurtures his own self, for the continuity of these worlds.
Thus these worlds continue. This is his second birth.”)

- Aitareya Upaniṣad, 2.1.3 -

So how does Life defeat death?

There are several ways, but they all involve some version of the same transformation:

I must remain.

becomes

I do not have to remain, if the pattern can.

This is no longer a meditation on Death.

It is the doorway to a path beyond Death..

That is a completely new solution to Persistence,

and involves a novel new type of Memory.

Until reproduction:

persistence means preserving S.

After reproduction:

persistence can mean preserving information about S in S′.

The thing that persists no longer has to be the same physical System.

The organism dies.

But information crosses the boundary of the individual.

S₁ dies.

then

I(S₁) → S₂.

Persistence has escaped the requirement that the original System remain.

After [T₁₀] Selection, Information splits into two paths:

Path 1. Information Within the Lifetime

This is the path we traced in the previous post, where the primary focus was:

Individual Persistence (Sₜ₀ → Sₜ₊₁)

We did this by tracing:

[T₁₁] Selective Information → [T₁₂] Memory → [T₁₃] Anticipation

→ [T₁₄] Prediction → [T₁₅] Agency → [T₁₆] Will

Finally ending up at:

⟹ Wille zum Leben.

but there is a second path.

Path 2. Information Beyond the Lifetime

[T'₁₁] Heritable Information ((I(S₁) → I(S₂) → I(S₃) → ...): Information can be copied so that it remains functional in a future System.

→ information can outlive the System that carries it.

Here Information allows the pattern to continue even when the individual System does not.

The object of Persistence shifts:

Hereditary Persistence (I(S₁) → I(S₂) → I(S₃) → ...)

The System can fail to persist while Information used to produce another System persists.

That gives reproduction a very different relationship to Leben:

Life does not merely maintain itself.

Life begins making Continuity independent of

the continued existence of the individual.

Where Heritable Information is Stored: RNA and DNA

Just like proteins are chains of amino acids,
RNA (Ribonucleic acid) and DNA (Deoxyribonucleic acid) are chains of nucleotides.

What makes them unsual is that the order of those units can vary.

DNA uses four bases:

A: Adenine

T: Thymine

C: Cytosine

G: Guanine

RNA uses almost the same alphabet, replacing Thymine with Uracil:

A - U - C - G

The important thing is not merely what the molecule is made of.

It is the sequence.

ACTG...

Different sequences contain different Information.

The scale of which is difficult to comprehend.

A single human genome contains roughly 3.2 billion base pairs.

Four possibilities at each position.

Consider porcine circovirus, one of the smallest autonomously replicating viruses in mammals.

Its entire genome consists of only about 1,760 nucleotides.

Yet at each of those positions there are four possible letters: A, T, C, G

The number of theoretically possible sequences is therefore: 4¹⁷⁶⁰

or roughly: 4 × 10¹⁰⁵⁹ possible sequences.

And that is for one of the smallest viral genomes.

The human genome contains roughly 3.2 billion base pairs.

The number of possible sequences of that length is approximately: 4³·² billion.

The number is so large that merely counting the digits needed to write it down would take roughly 183 years without stopping, or about 275 years if we occasionally eat and sleep.

But the remarkable thing is not merely that DNA can produce such an enormous number of possible sequences.

It is that once a particular sequence exists, chemistry provides a way to preserve it.

Because the bases pair predictably:

A ↔ T

C ↔ G

a strand of DNA contains within its structure the physical basis for making a complementary copy of itself.

That changes everything.

Earlier Information could persist:

T₀ → Iₜ

A crater preserves an impact.

A crystal preserves the conditions under which it formed.

But DNA can do something fundamentally different:

I(S₁) → I(S₂)

Information can be copied.

And the copied Information is functional.

Segments of DNA can be used to produce RNA. RNA can then participate in regulating the cell or, in the case of messenger RNA, provide the sequence used to assemble proteins.

DNA → RNA → Protein

DNA preserves much of the hereditary Information.

RNA helps carry, interpret, regulate, and sometimes catalyze that Information.

Proteins perform much of the physical work that keeps the System functioning.

So DNA is not merely a record of what happened to an organism.

It is inherited Information that participates in producing what happens next.

And because it can be copied into another System, that Information can survive something the original organism cannot, Death.

We do not know what came before RNA and DNA. Nothing from that era has survived intact, so origin-of-life research is necessarily reconstruction from modern biology, chemistry, and laboratory experiments.

What we know much more securely is that DNA stores information, proteins do most of the chemistry, and RNA can do some of both. RNA can carry sequence information, and some RNA molecules can also catalyze reactions. That is why the RNA-world hypothesis is so important: RNA could, in principle, bridge information and action.

What came before RNA is unknown. Candidates such as PNA, TNA, and GNA show that other information-carrying chemistries are possible. But these are synthetic nucleic-acid analogues studied in laboratories; none is known to occur naturally. PNA itself was deliberately designed and synthesized in the early 1990s, while TNA and GNA have likewise been constructed and studied experimentally.

So there is no evidence for a historical sequence like:

PNA → TNA → GNA → RNA → DNA

They are possibilities, not fossils.

So the safest broad story is:

? → RNA-like chemistry → RNA → RNA/protein systems → DNA/RNA/protein life

RNA/DNA are central because they are not merely traces of the past like a crater or isotope ratio.

They are copyable, functional information.

A DNA sequence does things in the present, it participates in producing proteins and regulating cellular processes, but crucially it can also be copied into another cell or organism.

- ה -

τὸ ποιῆσαι ἕτερον οἷον αὐτό, ζῷον μὲν ζῷον, φυτὸν δὲ φυτόν,
ἵνα τοῦ ἀεὶ καὶ τοῦ θείου μετέχωσιν ᾗ δύνανται·

καὶ διαμένει οὐκ αὐτὸ ἀλλ’ οἷον αὐτό,
ἀριθμῷ μὲν οὐχ ἕν, εἴδει δ’ ἕν.

(“To produce another like itself; an animal producing an animal, a plant a plant,
so that, as far as it can, it may participate in the eternal and the divine.”

“And it remains, not itself, but something like itself;
not one numerically, but one in form.”)

- Aristotle, De Anima, II.4, 415a–b -

[T'₁₁] Heritable Information (DNA/RNA) leads us to the birds and the bees (and a possibly a starfish)...and perhaps an uncomfortable conversation about sex.

[T'₁₂] Reproduction: A System produces another System carrying enough of its heritable Information to continue the pattern.

→ Continuity extends from the individual to the lineage.

Reproduction is the biological process by which living organisms produce new individual organisms, known as offspring. It is a fundamental characteristic of all life, ensuring the survival and continuation of a species from one generation to the next.

Without reproduction, a species would eventually go extinct as its current members grow old and die.

At first I simply thought reproduction was a mechanical bridge that got us from S → S'.

Birds, bees, nothing more.

Then I sat down and thought about it, and was surprised by the strangeness of it all.

1. Every form of Life that exists today comes from a history of reproduction.

That means reproduction, or something sufficiently like replication and division, must have appeared very early. So early, in fact, that the relationship between reproduction and the beginning of Life may be more complicated than I first thought.

Without some mechanism for producing descendants, no ancient System could have a lineage that still exists today.

🠊

In origin-of-life research, replication and compartment reproduction are so fundamental that some models treat the emergence of replicators and dividing protocells as coevolving pieces of the transition into cellular life. Experiments also show that self-replicating RNA systems can undergo Darwinian evolution and increase their complexity.

2. Reproduction doesn't seem to hold any value for the individual.

I can't think of how it benefits an individual System to be able to pass on information to another generation.

🠊

In the previous post we defined Valence as: R⁺ → P(Sₜ₊₁) ↑

where a Reaction was "good" insofar as it increases the probability that this System continues.

But Reproduction breaks that definition.

An organism can spend enormous energy reproducing. It can expose itself to predators. It can be injured mating. It can even die as a consequence of reproduction.

So you can have: P(Sₜ₊₁) ↓

while simultaneously: P(I(S) persists beyond S)↑

Valence has bifurcated.

Individual Valence: Vᵢ(R) = ΔP(Sₜ₊₁)

Hereditary Valence: Vₕ(R) = ΔP(I(S)ₜ₊ₙ)

3. Reproduction seems to benefit something beyond the individual, but that “something” has no consciousness, desire, or will.

A reaction can be Vᵢ(R) < 0 for the individual, and Vₕ(R) > 0 for the species.

Imagine two otherwise similar early replicating Systems:

A: does not produce copies.

B: produces copies.

Then: A → ∅ (A goes extinct)

while: B → B′ → B″ → B‴ ... (B continues)

A leaves no descendants.

B does.

Absolutely no Desire, Will, foresight, recognition of death, or concern for “the species.”

But,

Only things that reproduce can leave descendants that reproduce.

Selection handles the rest.

What is Reproduction?

We begin with a concept we introduced in the previous post.

1. Autocatalysis: A + B ⟶ 2B

Something helps produce more of itself or of a component like itself.

But there need not yet be a copied sequence.

→ chemistry makes more chemistry

Formose Reaction (Butlerov reaction):

If you have a pool of formaldehyde (A) on its own, it does very little. However, if you introduce just a single molecule of glycolaldehyde (B) into that pool, it acts as a catalyst for its own creation:

The glycolaldehyde (B) reacts with formaldehyde (A) to create a three-carbon sugar.
That sugar absorbs another formaldehyde to become a four-carbon sugar.
That four-carbon sugar then splits exactly in half.
The Result: You are left with two molecules of glycolaldehyde (2B).

Those two molecules then trigger the cycle again, becoming four, then eight, then sixteen. A single molecule essentially "eats" the surrounding raw material to clone itself over and over. It is self-amplifying, exponential growth driven purely by chemical thermodynamics, with no genetic code or copied sequence required.

2. Replication: I₁ → I₁ + I₂

A molecular pattern is used to produce another instance of that pattern.

For nucleic acids, template relationships make sequence copying possible.

This is the ACTG discussion.

→ Information makes another copy of Information

Importantly, this is not yet organismal reproduction. A molecule has replicated; a new System has not necessarily been produced.

Spiegelman’s Monster (RNA Replication):

If you have a pool of free-floating nucleotides (the raw chemical letters A, C, G, and U) on their own, they do very little. However, if you introduce just a single sequence of viral RNA (I₁) and a copying enzyme into that pool, the sequence acts as a template for its own creation:

The copying enzyme docks onto the original RNA strand (I₁).
The enzyme reads the sequence of the RNA one letter at a time.
It pulls the free-floating nucleotides from the pool, matching them to their specific partners on the template strand.
The matched nucleotides are linked together into a new, solid sequence.
The Result: You are left with two identical sequences of RNA ( I₂).

Those two strands then trigger the cycle again, acting as templates to become four, then eight, then sixteen. A molecular pattern essentially uses the surrounding raw material to assemble a copy of its own code (with a few copying errors). It is self-amplifying replication driven purely by template matching, showing that information can copy information, mutate, and evolve without an organism or a biological system ever being produced.

3. Protocellular Reproduction: [S₁ + I₁] → [S₂ + I₂] + [S₃ + I₃]

Replication becomes coupled to a Boundary.

The compartment grows, its informational material is copied or increased, and division distributes that material into descendants.

→ a Boundary + Information produce another bounded System

Fatty Acid Protocells (Szostak Lab Models):

If you have a pool of free-floating fatty acids (the building blocks of cell membranes) and raw nucleotides on their own, they might form empty, static bubbles but do very little else. However, if you encapsulate a replicating RNA sequence (I₁) inside one of these simple fatty acid boundaries (S₁), the internal chemistry begins to drive the physical growth and division of the entire compartment:

The RNA sequence replicates inside the bubble, rapidly increasing the concentration of genetic molecules trapped inside.
This growing swarm of internal molecules creates high osmotic pressure, physically pushing against the inside of the membrane.
To relieve this pressure, the stressed boundary absorbs free-floating fatty acids from the surrounding environment (or literally steals them from neighboring, "empty" bubbles), causing the compartment to grow into a long, fragile filament.
Simple environmental turbulence, like a wave crashing or fluid squeezing through microscopic pores in a rock, causes this elongated, unstable membrane to pinch in the middle and snap apart.
The Result: You are left with two separate, fully enclosed protocells ([S₂ + I₂] and [S₃ + I₃]), each wrapped in its own boundary and containing a share of the replicated RNA.

Those new compartments then trigger the cycle again, pulling in raw materials to grow their membranes, copy their internal information, and divide. A physical boundary coupled with replicating information essentially uses the surrounding environment to build descendants. It is physical reproduction driven by osmotic and environmental mechanics, showing exactly how a Boundary + Information can successfully produce another completely bounded System.

4. Asexual Reproduction: S₁ → S₂ (or, S₁ → S₂ + S₃)

We now have recognizable biological reproduction.

Heritable Information is copied from one parental lineage into descendants without fusion with hereditary material from another parent.

Replication: copy Information.
Asexual reproduction: copy the Information-bearing System.

→ one lineage continues through descendants

This encompasses mechanisms such as binary fission, budding, fragmentation, vegetative reproduction, and some forms of parthenogenesis.

Starfish Fragmentation (Asexual Reproduction):

If you have a solitary Linckia laevigata starfish (S₁) navigating a reef, it does not require a mate or the mixing of genetic material to create a new generation. If the starfish undergoes physical division, such as intentionally pulling itself apart (fission) or losing an arm to a predator, that severed piece acts as the foundation for an entirely new, whole organism:

The adult starfish (S₁) is divided, losing an arm that contains a portion of its central disc and vital organs.
The wound on the original parent starfish heals, and it begins to regenerate the missing limb through cellular division, copying its genetic information to rebuild the lost tissue.
Simultaneously, the severed arm does not die. Its cells utilize their unbroken genetic template to begin generating a new central disc and a new biological body plan.
Over several months, the severed arm grows a mouth, a digestive system, and four new arms, organizing itself into a fully functional, independent animal.
The Result: You are left with two complete, living starfish (S₂ and S₃).

Those two starfish can then trigger the cycle again by dropping their own arms in the future. A completely bounded, information-bearing system essentially rebuilds its entire physical structure from a fragment of the original parent. It is whole-organism reproduction driven by cellular regeneration, showing exactly how a single genetic lineage continues and multiplies through descendants without ever fusing with the hereditary material of another parent.

5. Sexual Reproduction: I(S₁) + I(S₂) → I(S₃)

Life now does something genuinely different.

It does not merely transmit one hereditary history forward. It combines hereditary material from two lineages into a new descendant.

→ multiple hereditary histories combine into a new descendant (System)

In canonical eukaryotic sexual reproduction, meiosis first reshuffles hereditary material within each parental lineage. Crossing-over exchanges DNA between homologous chromosomes, while independent assortment distributes different combinations of chromosomes into haploid gametes. Fertilization then combines hereditary material from two gametes into a new genome.

Mammalian Fertilization (Sexual Reproduction):

If you have two adult mammals, such as a pair of wolves (S₁ and S₂), each carries a hereditary history inherited from its own ancestors. Sexual reproduction allows portions of those two histories to enter a single new descendant:

Inside both parents, specialized reproductive cells undergo a unique form of division called meiosis. During this process, homologous chromosomes exchange segments of DNA through crossing-over, while independent assortment distributes different combinations of chromosomes into the resulting cells.
These reshuffled cells divide to create haploid gametes, a sperm cell from the male (I(S₁)) and an egg cell from the female (I(S₂)), each carrying one set of chromosomes.
During fertilization, the sperm and the egg fuse. The haploid set of genetic information from the male combines with the haploid set from the female to form a new diploid genome.
This fusion creates a single fertilized cell (a zygote) that immediately begins dividing through mitosis, repeatedly copying this newly combined genetic information as it develops into a complete organism.
The Result: You are left with a new, genetically unique descendant (S₃) whose combined genetic information (I(S₃)) contains hereditary material from both parental lineages.

That new offspring can eventually trigger the cycle again, combining portions of its inherited history with those of another organism. Life essentially takes hereditary information that had traveled separately through two lineages, reshuffles it, and joins portions of both within a new descendant. It is reproduction driven by gamete fusion, showing how multiple, distinct hereditary histories can combine and continue through a new System.

Autocatalysis: quantity persists.

Replication: pattern persists.

Reproduction: pattern crosses Systems.

Sex: patterns begin exchanging histories.

We've reached the end of the section on Reproduction, and I still find Reproduction remarkably bizzare.

1. What exactly is the difference between Replication and Reproduction?

Biochemically, Reproduction does not seem to be powered by some fundamentally new principle that appears after Replication. The only difference seems to be that Replication is defined at the molecular level (I₁ → I₁ + I₂), and Reproduction is defined at the organismal level (S₁ → S₂ + S₃).

As best as I can put it:

Replication: Replication inside a System.

Reproduction: Replication outside a System.

But that's not correct either. For bacteria, cell division is Reproduction because the cell is the organism.

Sex just makes it look more different because additional steps have been added:

replication → meiosis → recombination → gametes → fertilization → development

But none of these introduces some mysterious “reproductive force.” They're additional biological mechanisms for propagating biological organization.

2. Where does Life begin in mammalian fertilization?

This one is even stranger.

Obviously, Life does not begin at fertilization.

The sperm is already alive.

The oocyte (immature egg cell) is already alive.

They came from living cells inside living organisms.

At no point do we have: Non-Life → Life during fertilization.

Instead we have: living gamete + living gamete → living zygote.

So if you ask: "At which exact chemical event did Life appear?"

There isn't one. Life was on both sides of the transition.

Perhaps the more meaningful question is: "When does a new organism begin?"

Then the conventional developmental-biological answer is during fertilization, with formation of the zygote.

But even that doesn't give us the answer to: "When does a morally significant human Life begin?"

Science cannot answer that. We humans must draw a line somewhere, and live with the consequences.

Death is the same. We don't have: Life → instantaneous Non-Life, either.

Is a stopped heart, Death?

Is being brain-dead, Death?

Is freezing your body through Cryonics, Death?

One thing is for certain, we humans like drawing lines in the sand where no line exists in the first place.

In a much earlier post I talked about whether we humans are 'Beings' or 'Becomings'.

As 'Beings' we constantly look for imaginary lines.

As 'Becomings' we understand that there are none to start with.

- ה -

Omnia mutantur, nihil interit.
nec manet ut fuerat nec formas servat easdem,
sed tamen ipsa eadem est.

(“Everything changes; nothing perishes.
It does not remain as it was, nor preserve the same form,
and yet it remains itself.”)

— Ovid, Metamorphoses, XV.165–171

Persistence has a ceiling:

Every bounded System fails.

Reproduction moves the problem off the System:

What persists no longer has to be the thing that carried it.

A Pattern can be written into another System and continue after the first is gone.

This is a second kind of Persistence.

Not the System enduring.

The Pattern enduring, through Systems that do not.

[T'₁₃] Heredity ((I(Sₙ) → I(Sₙ₊₁)): Information inherited from previous Systems persists in descendant Systems.

→ the past remains available beyond the lifespan of the individual.

Heredity is the process by which descendants receive heritable information from their parent lineage(s).

Replication copies information.

Reproduction produces a descendant System.

Heredity transfers information from parent System to descendant System.

Reproduction says:

S₁ produces S₂ carrying I(S₁).

Heredity says:

Something in S₂ exists because it was present in, or transmitted from, S₁.

And then:

S₁ → S₂ → S₃ → S₄ …

The original System disappears, but information about it remains distributed through descendants.

Reproduction is the event. Heredity is the continuity.

1. Ancestry becomes physically present in the present.

For generations, members of the Habsburg dynasty married within a relatively restricted network of relatives; uncles married nieces, cousins married cousins.

And generation after generation, something followed them: A protruding lower jaw.

You can see it in the portraits.

The person in the portrait did not experience the marriages of their grandparents, great-grandparents, or more distant ancestors. Those events happened before they existed.

But their body did.

The past had become physically present in the present.

The Habsburg jaw is unusual only because ancestry became visible.

This practice also rendered Charles II of Spain (1661-1700) entirely infertile (he had an "inbreeding coefficient" of 0.254 (the offspring of a brother and sister would have a coefficient of 0.250), and his death triggered the 14-year War of the Spanish Succession, permanently ending Habsburg rule over the Spanish Empire.

2. Heredity gives Difference duration beyond the thing in which it arose.

At some point in the past, in an ancestor of modern East Asian populations, a single nucleotide in the ABCC11 gene changed (rs17822931, a 538G→A substitution).

G became A.

A microscopic typo.

And, somehow, one of its consequences was: less armpit smell.

The person in whom that mutation first appeared eventually died.

Their descendants died.

And their descendants died.

But the mutation kept going.

Generation after generation, it passed from one body into another.

Today, that same Difference is extremely common among Koreans, where it is associated with greatly reduced underarm odor (and dry earwax).

The original person is long gone.

Their name is gone.

Their face is gone.

Their entire world is gone.

But somewhere, thousands of years later, a Korean teenager can skip deodorant and unknowingly carry their molecular typo.

The System disappeared.

The lack of smell did not.

3. Heredity produces lineage memory without a mind.

Tens of thousands of years ago, some modern humans met Neanderthals.

And some of them had children.

Those people are gone.

Their children are gone.

Neanderthals themselves are gone.

But something from those encounters remains: DNA.

Many people alive today carry fragments of Neanderthal DNA inherited through an unbroken chain of descendants. In people with Eurasian ancestry, roughly 2% of the genome can be traced to Neanderthals.

Nobody remembers those encounters.

Nobody remembers the people involved.

There is no story passed from parent to child for fifty thousand years.

And yet their descendants still carry a physical record that the encounters happened.

An event occurred in the past.

Heredity preserved information about that event in the present.

No mind remembered it.

The lineage did.

4. Heredity allows the past to remain hidden, and return.

A hereditary Difference does not have to be visible in every generation to continue through the lineage.

A recessive allele can pass:

parent → child → grandchild → great-grandchild

without producing the associated trait.

Then, generations later, two copies meet.

And something that seemed to have disappeared appears again.

Information can persist without being expressed.

The phenotype can vanish.

The hereditary Difference can remain.

And then the past can suddenly become visible again in the present.

inherited diseases,

recessive traits,

ancestry,

genetic counseling,

family resemblance,

even the familiar experience of someone saying:

“She has her great-grandmother’s eyes.”

That sentence is actually philosophically bizarre.

The great-grandmother is dead. Her particular cells and DNA molecules are gone. The trait may even have been invisible in the intervening generations.

And then there it is again.

Heredity lets the absent past reappear.

[T'₁₄] Variation (I(Sₙ₊₁) = I(Sₙ) + ΔI): Copies are not always identical.

→ different versions of the pattern enter the future.

At the biological level, Variation is the inevitable consequence of copying a complex molecular pattern imperfectly and, in some organisms, systematically reshuffling it.

The main mechanisms are:

Replication errors: DNA polymerase occasionally inserts the wrong base, skips one, or adds an extra one. Most errors are repaired, but some remain as mutations.
DNA damage and repair: radiation, reactive chemicals, ordinary metabolism, etc. damage DNA. Repair is very good, but not perfect.
Recombination: during meiosis, chromosomes exchange segments. The DNA may be copied accurately, yet the resulting combination is new.
Independent assortment: offspring receive different combinations of parental chromosomes.
Mobile genetic elements: pieces of DNA can move around within a genome, altering sequences or regulation.
Horizontal gene transfer: especially in bacteria, DNA can arrive from another organism rather than solely from a parent.

The Pattern enters the future.

But not always unchanged.

A genuinely new mutation happens because DNA copying and repair are molecular processes, not perfect symbolic copying. Bases occasionally pair incorrectly; DNA is continually damaged by ordinary chemistry and environmental sources; proofreading and repair correct almost all of this, but not all. Whatever escapes repair becomes a permanent sequence change.

The error rate is tiny per letter. In humans, a widely used estimate is about:

1 mutation per ~80 million DNA letters per generation.

But the human genome contains billions of letters. So a child typically ends up with roughly dozens of new single-letter mutations that neither parent had. The measured human germline rate is about 1.2×10⁻⁸ per nucleotide per generation, with parental age affecting the total.

In E. coli, the rate is even lower per DNA letter, around 10⁻¹⁰ per nucleotide per generation, but because its genome contains millions of bases, the overall rate is roughly 1–2 new mutations per 1,000 cell divisions.

But then there is a second kind of Variation that is not an accident at all: Recombination.

During human meiosis, the cell breaks and repairs chromosomes, exchanging DNA between the maternal and paternal copies. A typical sperm-producing meiosis has about 26 crossovers and an egg-producing meiosis about 42, plus many additional non-crossover recombination events.

So biologically:

Mutation: copying/repair is not perfectly exact.

Recombination: reproduction actively reshuffles existing differences.

Variation creates a population of slightly different versions of the same Pattern. Most differences do little. Some are harmful. Occasionally, one works better under conditions the previous version could not handle.

That matters when the environment changes.

Imagine 10,000 genetically identical bacteria and an antibiotic arrives. If all 10,000 are equally vulnerable, the entire lineage may disappear.

Now imagine that one bacterium carries a mutation that makes the antibiotic less effective.

The antibiotic kills almost everyone.

That variant remains.

Suddenly a tiny copying difference has become the difference between:

lineage ends

and:

lineage continues.

Variation means that descendants do not all enter the future in the same configuration.

When conditions change, those Differences can produce different consequences.

E₁ + I₁ → P(continuation)↓

E₁ + I₂ → P(continuation)↑

The antibiotic does not select for the good of the population.

It simply kills bacteria susceptible to it.

If a Difference happens to make one bacterium less susceptible, copies carrying that Difference may remain after others have disappeared.

And that is a fascinating transition.

At first: Variation is a consequence of imperfect copying.

Later: Variation itself becomes heritable.

Once Variation is heritable, different versions of the Pattern can have different probabilities of remaining represented in the future.

Variation does not seek Persistence.

Persistence filters Variation.

[T'₁₅] Evolution (P(Iᵢ | Nₙ₊₁) ≠ P(Iᵢ | Nₙ)): The distribution of heritable configurations changes across generations.

→ The composition of the lineage changes over time.

When those changes result from heritable configurations differing in their probability of leaving descendants, we call that natural selection.

Variation: Different heritable configurations exist.

Inheritance: Those configurations can appear again in descendants.

Selection: Under particular conditions, some configurations leave more descendants than others.

Evolution: The distribution of configurations changes across generations.

Generation N-1:

A = 99.9%
B = 0.1%

Environment (N) shifts

Generation N+1:

A = 2%
B = 98%

That change in composition is Evolution.

With Reproduction, continuation no longer requires the individual to persist.

With Variation, continuation no longer requires the Pattern to remain unchanged.

Variation means the Future contains multiple possible descendants of the Present.

Selection biases which of those descendants remain represented.

Evolution changes which versions of the Pattern actually occupy that future.

The individual can be directed toward a Future.

Evolution produces a trajectory across Futures.

These look similar from a distance.

But only one requires something that knows a Future exists.

And thus we complete one way Life has learned to cheat Death:

[T'₁₁] Heritable Information

⤷ [T'₁₂] Reproduction

⤷ [T'₁₃] Heredity

⤷ [T'₁₄] Variation

⤷ [T'₁₅] Evolution

No consciousness, no desire, no will involved.

But let me leave you with a question.

Why do we perceive Evolution as good,

when all it means is a change in heritable composition across generations?

If an environment changes and a lineage becomes smaller, simpler, uglier, less intelligent, more parasitic, or more fragile, but those variants leave more descendants, then that is evolution just as much as becoming larger, more complex, or more intelligent.

There is no inherent ladder from lower to higher.

So how did: "have traits that happen to work better in this environment"

come to mean "become better"?

Evolution did not proceed in a queue with humans waiting triumphantly at the end.

And human evolution sure as fuck does not culminate in Elon Musk, Peter Thiel, Xi Jinping, or Vladimir Putin.

Bacteria have been evolving for billions of years too. A bacterium alive today is not less evolved than a human. Both lineages have traveled through roughly the same four billion years of evolutionary history.

Evolution can just as easily mean losing things.

If an organism enters an environment where eyes are useless, eyes can disappear. If a digestive system is no longer necessary, it can disappear. Limbs, metabolic pathways, even large portions of a genome can disappear.

Evolution is neither good nor bad.

It is what remains.

So to all the racist degenerates who like borrowing Evolution to explain why they are supposedly standing higher on some imaginary ladder, I leave you with this:

If survival in the present environment is your measure of being “more evolved,”

perhaps explain why you’re hiding behind masks and the anonymity of the internet.

Who is more Evolved now?

- ה -

"Earlier, people rarely lived to 70, but these days, at 70 years, you are still a child."

"With the development of biotechnology,
human organs can be continuously transplanted,
and people can live younger and younger, and even achieve immortality."

"Predictions are, this century, there's a chance of also living to 150."

- Hot mic conversation between Vladimir Putin and Xi Jinping, September 3, 2025 -

"I do not want to die."

I have often observed that we humans are motivated more by Wille zum Nichtsterben (the Will to Not-Die) than Wille zum Leben (the Will to Life).

Perhaps "Life" feels too abstract, too mundane, too boring.

Whereas "Death" feels real, extraordinary, fascinating.

But for whatever reason, humans have taken some fascinating measures in trying to prolong, or escape Death.

Some examples:

Qin Shi Huang (259–210 BC)

The Method: Drinking liquid mercury.

The founder of the Qin dynasty and the first emperor of a unified China was utterly terrified of dying. He banned the word "death" from his presence and issued a nationwide decree commanding his subjects to find a mythical "elixir of life". When alchemists offered him potions containing cinnabar (mercury sulfide), they convinced him it would grant eternal life. Instead, the heavy metal slowly poisoned his brain and organs, ultimately killing him at just 49 years old. Ironically, his desperate fear of death is what drove him to commission the massive Terracotta Army to protect him in the afterlife.

Pope Innocent VIII (1432–1492)

The Method: Consuming the blood of children.

In 1492, as the Pope was suffering from severe health declines and had become little more than an "inert mass of flesh" following a stroke, a physician proposed a radical, horrifying solution to restore his youth. According to historical accounts, the doctor drained the blood of three young boys. Whether the blood was administered as a primitive transfusion or meant for the Pope to drink remains debated by historians, but the outcome was disastrous. The three boys died from the procedure, and the Pope died just days later.

Diane de Poitiers (1499–1566)

The Method: Drinking liquid gold.

Diane de Poitiers was a powerful French noblewoman and the favorite mistress of King Henry II. Renowned for her striking beauty and youthful appearance, she was determined to preserve it indefinitely. Believing that gold was the purest, most incorruptible metal and contained the secret to anti-aging, she regularly consumed aurum potabile, a concoction of drinkable gold. While it may have preserved her pale complexion, it slowly destroyed her body. She died at age 66, and when modern scientists tested her preserved remains, they found mercury and gold concentrations exponentially higher than normal.

We have moved from:

Use Magic to defeat Death.

Use Alchemy to find a substance that defeats Death.

And in modern times:

Use Science to defeat Death.

Or, failing that, preserve enough of me that a future Science might bring me back.

Geroscience

Geroscience studies the biological mechanisms of aging with the goal of intervening in them to delay or prevent multiple age-related diseases and extend healthy lifespan. That explicitly includes areas like cellular senescence, epigenetic change, metabolism/mTOR signaling, stem-cell decline, and related aging mechanisms.

Some of the leading fields include; Senolytics, Epigenetic Reprogramming, and Metabolic Targeting. To me they all sound like Magic and Alchemy, except for the fact that some of the wealthiest people in the world have already poured hundreds of millions, and collectively billions, into trying to make them work.; Jeff Bezos (Amazon), Yuri Milner (DST Global), Larry Page & Sergey Brin (Google / Alphabet), Sam Altman (OpenAI), Peter Thiel (PayPal / Palantir), Brian Armstrong (Coinbase), Mark Zuckerberg (Meta), and Larry Ellison (Oracle).

The only expected nutjob missing from this list was Elon Musk, who long opposed radical life extension research because he feared a world populated by people whose minds had become “frozen in time.”

Then, in 2026 at Davos, even Musk changed his mind.

Aging, he said, is “a very solvable problem.”

Apparently Wille zum Nichtsterben got him too.

Senolytics:

Developing drugs that selectively identify and remove senescent cells, the so-called “zombie cells” that have stopped dividing but refuse to die. As these cells accumulate with age, they release inflammatory signals and other molecules that can damage surrounding tissue and interfere with normal repair. Senolytic research asks a deceptively simple question: if aging partly results from damaged cells that linger too long, what happens if we remove them?

Epigenetic Reprogramming:

Trying to reset some of the molecular instructions that tell an old cell that it is old. As cells age, patterns controlling which genes are switched on and off gradually change. By partially reprogramming those patterns, researchers hope to push cells toward a younger functional state without erasing their identity entirely. The ambition is not simply to slow further decline, but to restore some of the repair capacity that aging cells have already lost.

Metabolic Targeting:

Studying the pathways cells use to decide whether to grow, consume resources, conserve energy, or repair themselves. Interventions such as caloric restriction, fasting-related pathways, and drugs like rapamycin appear to shift cells away from constant growth and toward maintenance, recycling, and repair. Instead of replacing damaged parts, the goal is to persuade the body to spend more of its energy preserving what it already has.

And for those who die before Science can solve Death:

Cryonics:

Preserving the body, or sometimes only the brain at extremely low temperatures after legal death, in the hope that future technology will be able to repair the damage, reverse the cause of death, and restore the person. No human has ever been revived from cryonic preservation. Its wager is therefore extraordinary: that enough of the biological Pattern can be preserved today for a future civilization to reconstruct what present medicine could not save.

At this point I must interject a personal question.

What the fuck is wrong with all of you?

Stop dying and Start living.

- ה -

Ah tlamiz noxochiuh
ah tlamiz nocuic
in nocon ya ehua
zan nicuicanitl
xexelihui, moyahua

(“My flowers will not end,
my songs will not cease.
I, the singer, raise them.
They divide, they spread.”)

- Nahuatl song attributed to Nezahualcóyotl, Cantares Mexicanos, fol. 16v -

Reproduction and Heredity introduced the first way in which biological continuity could cross Death. The individual System could disappear, while some of its Information continued in another.

Variation added another possibility. Descendants did not all enter the future in exactly the same configuration. A change in environment that ended one version of the pattern might leave another standing.

But this leaves us with an uncomfortable question.

If the System does not persist, even though its Information does,

did Life actually overcome Death?

Does System = Information?

Or did something merely survive the System?

And is that "something" meaningful enough to claim it conquered Death?

In this section, we take that question one step further.

What if the thing that persists is not hereditary Information?

What if it is something that arose inside the System itself?

an experience,

a thought,

a memory,

an idea.

an artifact of Will.

Something that did not exist before this particular mind existed.

And somehow, that too can escape the Boundary of the individual.

M(S₁) → artifact of Will → M(S₂)

Something formed inside one nervous System becomes encoded outside of it, then enters another nervous System.

it may cross a room.

or an ocean.

or two thousand years.

Descartes wrote:

Cogito, ergo sum

(I think, therefore I am.)

But that raises a strange question:

What happens when the thought outlives the “I” that thought it?

Thought becomes:

speech,

writing,

music,

mathematics,

physics, chemistry, biology,

law,

philosophy,

and even God.

A structure that existed inside one mind becomes a structure that can exist inside another.

And another.

Individually, they are thoughts, stories, equations, songs, beliefs, memories, rituals, laws, and ideas.

Together, we give them a name:

Culture

But now our original question returns in a stranger form.

The System died.

Something created by its Will did not.

If the artifacts of Will persist, did Life overcome Death?

enter neuroscience:

The Engram

In 1904, German biologist Richard Semon proposed that an experience must leave some persistent physical change in the nervous system.

He called that trace an:

Engram.

For more than a century, the Engram remained largely theoretical. Some corrupted version of it even became a religion (Scientology if you're wondering).

Then, in 2012, a research team in Susumu Tonegawa's laboratory at MIT did something remarkable.

They placed mice in a particular environment and gave them a mild foot shock, creating a fear memory. While that memory was being formed, they genetically tagged a small population of neurons in the hippocampus that were active during the experience.

Later, the mice were placed in a different, safe environment.

The researchers then used light to artificially reactivate those tagged neurons.

The mice froze.

Nothing frightening was happening around them.

The physical cells associated with the earlier memory had simply been switched back on.

The experiment provided causal evidence for something Semon had proposed more than a century earlier:

Memory leaves a physical trace.

a familiar smell

a rustle in the bushes

our understanding of God

And we know what it looks like.

Engrams show that what we experience, remember, and think leaves persistent physical changes in the nervous System.

Experience → Engram

And now something even stranger becomes possible:

Engram₁ → Artifact → Engram₂

A structure inside one mortal nervous System can alter matter outside itself, survive there, and later produce a physical change inside another nervous System.

The thought has crossed the boundary.

And we return to our old friend, Schopenhauer.

Wille zum Leben.

Arthur Schopenhauer died in 1860, and here we are, nearly two centuries later, allowing a structure that once existed inside his mind to alter the structure of ourselves.

Schopenhauer died.

His thought did not.

Life changes what Death is capable of ending.

- ה -

昔者莊周夢為胡蝶，栩栩然胡蝶也自喻適志與！
不知周也
俄然覺，則蘧蘧然周也
不知周之夢為胡蝶與，胡蝶之夢為周與
("Once Zhuang Zhou dreamt he was a butterfly, fluttering, a butterfly to the last.
He knew nothing of Zhou.
Suddenly he woke, and was solidly Zhou.
He did not know whether Zhou had dreamt he was a butterfly, or a butterfly was dreaming it was Zhou.")

- Zhuangzi, 齊物論, Ch. 2 -

I originally did not plan to include this section, but it solves a nagging question that I've been carrying throughout the whole series:

How much can change before what remains is no longer the thing that died?

and

What, exactly, is it that persists?

It is the ultimate question facing all of us.

What is "I"?

and

How is it different from "not-I"?

Up to now, Persistence has been treated almost operationally:

something at t₀ remains consequential at t₊₁.

But Death exposes the weakness in that definition. If we use it literally, almost nothing ever disappears.

matter remains.

energy remains.

causal consequences remain.

DNA may remain.

memories in other people remain.

artifacts remain.

the corpse remains.

And yet we still point at a dead body and say, without much hesitation:

He is gone.

That is the interesting contradiction.

This is a photograph of Ramses II, otherwise known as Ramses the Great, of Moses splits the Red Sea fame.

After his death, Ramses was buried in the Valley of the Kings. But even Death did not leave him undisturbed.

Ancient priests later moved his body to the Royal Cache at Deir el-Bahari, where it was hidden alongside other royal mummies to protect it from looting.

There it remained until 1881, when, more than three thousand years after his death, Ramses II was brought back into the world.

Not alive, of course.

But physically, remarkably, still here.

His bones remain.

His skin remains.

His hair and teeth remain.

Enough of the physical structure that once constituted one of the most powerful human beings on Earth has persisted across more than three millennia that we can still point to it and say:

That was Ramses II.

His mummy is therefore a beautiful place to begin, because it gives us an almost perverse degree of Persistence while providing almost none of what we intuitively mean by continued existence.

His atoms remain.

Some of his tissues remain.

Chemical Reactions continue within the material that once made up his body.

His genome can still be partially recovered.

His body still contains Information about what happened to him.

And beyond the body, even more remains.

His possessions remain.

His name remains.

His image remains.

His monuments remain.

The consequences of his actions remain.

Things created by his Will altered the world around him. Those changes altered other people, who altered still others, until eventually:

Ramses II → artifact → archaeologist → book/Wikipedia → Me → You

There is an unbroken causal chain connecting a nervous System that stopped functioning more than three thousand years ago to this conversation.

Something persisted.

Quite a lot, actually.

And yet nobody seriously points to the mummy and says: Ramses II is alive.

So we have discovered another problem with our original definition of Persistence:

Persistence ≠ meaningful Continuity.

Which leaves us with a much harder question:

What kinds of Persistence count as Continuity of the “I”?

1. The mummy: Matter without I

Suppose essentially every atom in Ramses II's corpse still existed.

That cannot be enough.

The same atoms may remain while the organization that constituted the living System has collapsed. This follows our earlier definition of Death:

Death is not when Reaction ends.

Death is when Reaction stops returning the System to itself.

The atoms persist.

The organization around Self does not.

So:

Material Continuity ≠ I-Continuity.

2. DNA: Information without I

Suppose we sequence Ramses II's DNA perfectly.

Now we possess an extraordinarily detailed informational description of part of the machinery that produced him.

Still not Ramses II.

Clone him, even.

Same genome.

Different womb. Different childhood. Different experiences. Different engrams. Different history.

So:

Hereditary Information ≠ I.

We've already established this distinction earlier when we moved Persistence from the System into Heritable Information: the original organism can disappear while information continues through another System.

3. Culture: Mind-derived Information without I

Now it gets uncomfortable.

Suppose instead we reconstruct everything Ramses II left behind.

His handwriting.

His possessions.

His recorded decisions.

His speech, if recordings somehow existed.

Every letter.

Every reported conversation.

Every preference.

Every fact anyone ever knew about him.

Feed all of that into an AI.

It answers questions exactly as Ramses II would have answered them.

Ask: “Who are you?”

It says: “I am Ramses II.”

Now we have moved substantially closer to the pattern that existed inside the dead System.

But most of us would probably still say:

No. You are an extraordinarily good model of Ramses II.

That's important.

Because now neither matter nor behavioral information is enough.

There seems to be something about causal continuity that matters.

The AI learned about Ramses II.

It did not arise as the continuation of Ramses II.

That gives us:

Similarity ≠ Continuity.

And perhaps even:

Perfect reconstruction ≠ persistence.

Ever since I founded EngramOS and MoraLoop, this is where I spend the bulk of my time.

AI has become extraordinarily good at reproducing the outward products of human thought.

It can reason with us, argue with us, comfort us, teach us, write with us, and sometimes say things that feel startlingly human. In a sufficiently narrow interaction, it can become difficult to tell whether the words on the other side were produced by a person or a machine.

Which makes AI a fascinating way to ask the question we have been circling:

What is actually different?

Based on my experience working with these systems, I keep returning to three fundamental differences.

(1) Continuity, or the lack thereof

A living System is continuously pointed toward its own next moment.

It eats, regulates, repairs, avoids, seeks, sleeps, wakes, and begins again from where it left off.

There is a direction to its existence:

now → next

AI can produce language about continuation. It can react as though something matters. It can even describe what it “wants” to do next.

But there is no underlying striving to remain.

Turn it off and nothing inside it resists.

AI is Reaction without towardness.

(2) Memory, or the lack thereof

A living System can be marked.

What happens to it changes what it becomes.

Experience leaves Engrams. Injury leaves scars. Practice changes neural pathways. Love, grief, fear, habit, language, and culture accumulate inside the System and alter how it encounters the next moment.

Eₜ₋₁ → Mₜ → Rₜ

The past becomes physically available to the present.

AI can be given memory. Its context can be stored. Databases can preserve previous interactions. Its parameters can be changed through training.

But the system generating this sentence does not ordinarily carry its own continuous, lived history forward simply because it experienced the previous moment.

Humans are fundamentally stateful.

We carry our marks.

(3) I, or the lack thereof

And beneath both of those differences is the strangest one.

A living Self is not simply a collection of Information.

It is an ongoing process that continually distinguishes:

this is happening to me.

this matters to me.

"Want" is not the same as "I want."

“I” is less a noun than a verb.

It is the temporary, active organization of matter around its own Continuity.

Homeostasis.

Memory.

Boundary.

Agency.

Will.

The constant metabolic resistance against dissolution that keeps returning the System to itself.

Temporary as it may be,

AI can say “I.”

But saying "I" and being an I may be very different things.

4. WBE: where everything breaks

WBE, or Whole Brain Emulation, is the theoretical idea that the relevant structure and activity of a human brain could be captured with enough fidelity to reproduce its function in another physical substrate.

It is more widely known by the much less careful term: Mind Uploading.

The phrase is useful precisely because it smuggles in the question we are trying to answer.

What, exactly, is being uploaded?

Whole Brain Emulation destroys the easy answers.

Imagine your brain is scanned with sufficient fidelity that another physical System reproduces its relevant organization.

It wakes up.

It remembers your childhood.

Your wife.

Your children.

Your dog.

Schopenhauer.

This essay.

It remembers writing the sentence immediately before the scan.

It possesses your fears, jokes, grudges, preferences, memories, habits, and internal narrative.

Ask it: “Who are you?”

It doesn't say: “I am a copy of Chris.”

It says: “I'm Chris. What the hell else would I be?”

Now Information is no longer merely being reconstructed from artifacts left behind by a dead person.

The organization that produced the memories, preferences, dispositions, and Self-model of the original nervous System has itself crossed the Boundary:

S₁ → I(S₁) → S₂

The atoms did not cross.

The body did not cross.

Perhaps not even a single original neuron crossed.

But something much closer to what we have been calling I appears to have.

And suddenly the original question becomes vicious:

Did I cross?

5. SIM: where I exists independent of I

SIM, or Substrate Independent Mind is a theoretical state of existence. It is one possible output of WBE. It is the concept that the "I"; that continuous, dynamic loop of integration we discussed, is fundamentally an information-processing architecture, and therefore does not require a specific physical material (like carbon-based wetware) to exist.

Don't destroy S₁.

Let both wake up.

S₁ says: "I am Chris."

S₂ says: "I am Chris."

They share one Past.

Then immediately acquire two Futures.

At the instant before divergence, neither possesses an obvious informational claim to being “more Chris” than the other.

Yet they cannot literally occupy the same first-person perspective.

So identity has branched.

And that suggests something profound:

Pattern continuity may be real even when numerical identity is impossible.

That connects directly back to Aristotle:

“And it remains, not itself, but something like itself;

not one numerically, but one in form.”

SIM can push it over the edge

SIM can remove even the biological ancestry.

Imagine an exact simulation of the relevant organization.

Not your atoms.

Not your neurons.

Not carbon.

Only the causal relationships.

Yet inside the simulation:

the memories are present.

the self-model is present.

the preferences are present.

the experience of continuity is present.

It remembers going to sleep.

Then awakening.

From the inside, there may be no discontinuity whatsoever.

From the outside, we say:

simulation.

And now the distinction between I and not-I becomes partly dependent upon where the observer stands.

That is where I think the concept of meaningful continuity begins to emerge.

Not as a binary property.

As a bundle.

have progressively stripped away candidate definitions:

same atoms: insufficient.

same DNA: insufficient.

same appearance: insufficient.

same information: perhaps insufficient.

same memories: now we're uncomfortable.

same functional organization: very uncomfortable.

same subjective history: extremely uncomfortable.

unbroken first-person experience: perhaps this is finally near the core.

And then even that fails under anesthesia, dreamless sleep, coma, etc., because consciousness itself can be interrupted without us ordinarily declaring the person dead.

So this section doesn't end by successfully defining I.

It only discovered why defining it is so damned difficult.

We began the two-post journey asking:

"When does non-Life become Life?"

And found no clean boundary.

Now near the end we arrived at:

When does I become not-I?

And once again there may be no clean boundary.

That's the symmetry I find most interesting.

A corpse is obviously not-I to us.

A living person is obviously I.

A one-month old fetus is kinda like a not-I.

A person on life-support is kinda like an I.

Between them lie:

mummy → DNA → artifact → memory in another

→ AI reconstruction → WBE → simulation → ???

And just like:

non-Life → protocell → virus → bacterium → Life

the endpoints seem easy.

Once again, the boundary is the problem.

Which means the philosophical payoff may be something like:

Meaningful continuity is not the persistence of matter.

It is not even necessarily the persistence of Information.

It is the preservation of enough of the organization that made a System itself that we are still willing, or that the System itself is still able to say:

“I.”

And even that is not an objective law of physics.

It's a line that doesn't exist.

Much like Life / non-Life.

Much like Death / Life.

Much like I / not-I.

- ה -

עֵת לָלֶדֶת וְעֵת לָמוּת
עֵת לָטַעַת וְעֵת לַעֲקוֹר נָטוּעַ

(“A time to be born, and a time to die;
a time to plant, and a time to uproot what was planted.”)

- Qohelet / Ecclesiastes 3:2 -

We are finally at the end of our journey.

A quick summary:

Post 1. Wille zum Leben

⇒ What is Wille, zum, Leben?

[T₀] Before the Big Bang (∅)

[T₁] Difference (A ≠ B)

[T₂] Reaction (A ⟶ B)

first primitive:

⇒ Tendenz zur Reaktion.

[T₃] Encoded Information (𝓘(Sₜ ; Sₜ₊₁) > 0)

[T₄] Persistence (Rₜ₀ → P(Sₜ₊₁)↑)

second primitive:

⇒ Tendenz zur Persistenz.

[T₅] Boundary (S ≠ E)

[T₆] Sensitivity (ΔE → ΔS)

[T₇] Conditional Reaction (E₁ → R₁, E₂ → R₂)

[T₈] Valence (R⁺ → P(Sₜ₊₁)↑, R⁻ → P(Sₜ₊₁)↓, R⁰ → ΔP(Sₜ₊₁) ≈ 0)

[T₉] Regulation (D↑ → R → D↓)

third primitive:

⇒ Regulation zur Beständigkeit.

/// Detour #1: What is Life? ///

[T₁₀] Selection (P(R⁺ | S,E) > P(R⁻ | S,E))

From here we branched into two pathways and left Schopenhauer behind.

Pathway 1:

[T₁₁] Selective Information (I → ΔP(R))

[T₁₂] Memory (Eₜ₋₁ → Mₜ → Rₜ)

[T₁₃] Anticipation (Cₜ → Rₜ, before Eₜ₊₁)

[T₁₄] Prediction (Iₜ + Mₜ → P(Fₜ₊₁))

[T₁₅] Agency (R* = argmaxᵣ E[V(Fₜ₊₁) | r, Iₜ, Mₜ])

fourth primitive:

⇒ auf Beständigkeit gerichtete Regulation.

Schopenhauer returns, but now as Camus.

[T₁₆] Will (R* = argmaxᵣ E[Dₜ(Fₜ₊₁) | r, Iₜ, Mₜ, Ŝₜ])

and we return to:

⇒ Wille zum Leben

Post 2. Wille zum Nichtsterben

/// Detour #2: What is Death? ///

⇒ How does Life defeat death?

Pathway 2:

[T'₁₁] Heritable Information ((I(S₁) → I(S₂) → I(S₃) → ...)

[T'₁₂] Reproduction (I₁ → I₁ + I₂, S₁ → S₂ + S₃, and I(S₁) + I(S₂) → I(S₃))

[T'₁₃] Heredity (I(Sₙ) → I(Sₙ₊₁))

[T'₁₄] Variation (I(Sₙ₊₁) = I(Sₙ) + ΔI)

[T'₁₅] Evolution (P(Iᵢ | Nₙ₊₁) ≠ P(Iᵢ | Nₙ))

Until now, Biology cheats Death without knowing Death exists.

From now, Will cheats Death both on purpose and as a side effect of being Will.

Magic, Alchemy, Geroscience, Cryonics

Culture and Engrams

/// Detour #3: What is I, and how is it different from not-I? ///

Mummies, AI, WBE, SIM

Post 1 ended up covering the evolution of the subjective,

with the realization that:

"I" was never a permanent physical thing;

it was just a temporary configuration of information.

Post 2 ended up covering the evolution of the objective,

with the realization that :

the Information constituting me is not self-originating.

In the end, they collided at I, and not-I.

The Boundary remains.

The independence it seemed to imply does not.

Time covered: all of time (~13.8 billion years)
Space covered: the entire universe (≥ 93 billion light-years, possibly ∞)
Thinkers covered: ~20+, across ~4,000 years of recorded thought
Disciplines abused: physics, chemistry, biology, neuroscience, evolutionary theory, AI, philosophy, theology
Words: 22,861
Question asked: Was Schopenhauer actually right?
Answers found: ∞ and ∅

- ה -

In the course of this writing, all the greatest minds have been left by the wayside.

Kierkegaard saw it an jumped into the arms of God.

Schopenhauer saw it and despaired.

Nietzsche saw it and wrestled Schopenhauer into power.

Sartre and Camus saw it and decided to remain defiantly French.

Except, perhaps, for two we mentioned along the way but never explored in much detail.

Zhuangzi/莊子 (c. 3rd Century BCE): Life is a continuous transformation of states. In his foundational text, the Zhuangzi/莊子, he rejects the idea of life as a fixed, independent entity resisting its environment. Instead, he defines existence through the continuous flux of qi/氣 (matter-energy). Life and death are not discrete boundaries to be defended, but simply rhythmic transformations within the broader thermodynamic system of the Dao/道.

Nagarjuna/नागार्जुन (c. 2nd Century CE): Life is dependent origination. In the Mūlamadhyamakakārikā/मूलमध्यमककारिका (Fundamental Verses on the Middle Way), Nagarjuna rigorously deconstructs the idea that any living thing has an independent, autonomous essence. He defines a living system entirely through its relational architecture: a thing exists only as a continuous, dynamic intersection of external causes and conditions.

As with most philosophical journeys, we always end up in the hands of the Buddha.

शून्यता

(Śūnyatā; Emptiness)

And in that emptiness,

I am still stuck struggling for a way to get to:

करुणा

(Karuṇā; Compassion)

Wille zum Leben has a final destination;

compassion for others,

for I and not-I are not separate things.

the universe does not have that destination.

biology does not have that destination.

evolution does not have that destination.

but once Will exists,

we can choose one.

- ה -

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