DEV Community

Cover image for Kaizen Life Series - #01 Origin of Life
Denis Scorpion
Denis Scorpion

Posted on • Originally published at linkedin.com

Kaizen Life Series - #01 Origin of Life

Based on the scientific concept from the book by Mikhail Nikitin “Origin of Life: From Nebula to Cell”

1. Cosmic Preconditions of Life

The key idea of modern astrochemistry is simple and radical: the chemistry of life is not unique to Earth — it is a natural consequence of the physics of the Universe.

Interstellar nebulae act as massive chemical reactors. Under the influence of ultraviolet radiation, cosmic rays, and extremely low temperatures, complex organic molecules are formed.

Meteorites contain amino acids, sugars, and nitrogenous bases — the same “building blocks” used by biology on Earth.

Conclusion: organic chemistry is not a rare event, but a cosmochemical inevitability.

2. Formation of Planets and Chemical Evolution of Earth

The formation of Earth is not a static process, but a dynamic chemical factory.

  • accretion of the protoplanetary disk
  • differentiation of the core and mantle
  • formation of atmosphere and hydrosphere
  • intense volcanism and geothermal activity

Early Earth was likely far more chemically diverse than classical “reducing atmosphere” models suggest.

Energy came from three main sources:

  • geothermal processes
  • volcanism
  • electrical discharges

3. Prebiotic Chemistry

The Miller–Urey experiment demonstrated the possibility of organic synthesis, but did not explain the full complexity of the transition to life.

Key alternative environments:

  • alkaline hydrothermal vents
  • mineral catalysts (clays, iron sulfides)

The central concept is: autocatalytic chemical networks, where reaction products accelerate their own formation.

At this stage, chemistry is no longer about isolated molecules — it becomes a system approaching living behavior.

4. The Information Problem

The central question: how does heredity emerge before DNA exists?

Life is not only chemistry — it is also information.

Critical constraints:

  • replication error rate
  • information stability threshold
  • trade-off between stability and variability

Without this balance, evolution cannot exist.

5. The RNA World

The RNA world is the first serious attempt by nature to unify two fundamental functions: information storage and execution within a single molecule.

From an engineering perspective, this is an extremely ambitious architecture: a single component acts as both a database and a processor.

Ribozymes demonstrated that RNA can function not only as an information carrier but also as a catalyst for chemical reactions. This is critical: the system gains partial self-sufficiency without protein enzymes.

However, a systemic issue emerges:

  • RNA is unstable
  • degrades easily
  • is difficult to assemble spontaneously in natural environments
  • scales poorly in length and replication accuracy

Therefore, the modern scientific position is pragmatic: the RNA world is plausible, but not the only and not a fully sufficient stage

From an architectural standpoint, this is not a production system but rather a prototype distributed system that works in controlled conditions but requires additional layers for real-world stability.

6. Alternative Scenarios

If we treat the origin of life as an evolution of architectures, RNA is only one possible technology stack.

Alternative models include:

  • metabolism-first world without genes — reaction networks that self-amplify without explicit information storage
  • peptide–nucleic co-evolution — parallel development of short proteins and nucleic acids
  • lipid world hypothesis — early dominance of membrane-like structures as stabilizing containers

The key insight is not which model is correct, but that they are not necessarily competing — they may represent layers of a single emerging system.

In engineering terms: we are not searching for a single startup algorithm of life, but for a technology stack that gradually emerged as a layered distributed platform

7. Self-Organization and Selection

Before biology emerges, a precursor already exists — chemical natural selection.

In chemical systems:

  • stable reactions persist
  • unstable reactions decay
  • energetically favorable pathways dominate

This strongly resembles behavior in self-healing distributed systems:

  • stable services survive load
  • unstable components fail
  • the system converges toward stability

Key idea: evolution begins not with life, but with stability of processes

Life is not a jump — it is an amplified form of chemical self-organization.

8. Emergence of Membranes

Membranes represent the moment when a system first distinguishes:

  • “inside”
  • “outside”

Lipids spontaneously form vesicles — and this is no longer just chemistry, but the first computational containers.

From an architectural perspective, this is a critical transition:

state isolation emerges
exchange control becomes possible

local optimization is enabled

Membranes allow integration of: metabolism + heredity + structural stability

Without membranes, complex chemistry simply diffuses and dissipates.

9. Energetics of Early Systems

All life is fundamentally an energy-processing system.

The core principle is gradients:

  • pH gradients
  • ion concentration differences
  • temperature differentials

Chemiosmosis becomes the universal mechanism for converting these gradients into chemical energy (ATP).

In simplified terms: life does not create energy — it harvests it from existing environmental gradients

This is analogous to modern energy systems:

  • hydroelectric plants
  • batteries
  • distributed energy harvesting networks

10. Transition to the DNA–Protein World

At this stage, a major architectural optimization occurs.

Roles become separated:

  • DNA → long-term information storage (source of truth / archive layer)
  • proteins → execution layer (runtime computation engine)

This is a fundamental shift: the system abandons a universal component in favor of specialization

In software terms, this is equivalent to moving:

  • from monolithic architecture
  • to separated storage / compute / runtime layers

The result is dramatically improved efficiency, scalability, and robustness.

11. LUCA — Last Universal Common Ancestor

LUCA is not the first life form, but already a mature, optimized biological system.

It possessed:

  • a universal genetic code
  • ribosomes
  • basic metabolism
  • membrane-based structure

This implies a long evolutionary prehistory before LUCA.

From an engineering perspective: LUCA is not the system’s source code — it is the first stable production release that survived and spawned all future branches

12. Philosophical Implications

When viewed holistically, the boundary between living and non-living disappears.

There is a continuous chain: physics → chemistry → self-organization → information → evolution

Life is no longer an object — it becomes: a process of sustained material complexity growth

This is a fundamental conceptual shift: not “life emerged”, but “matter became capable of life”.

13. Critique of Extreme Positions

Two oversimplified interpretations exist:

  • Everything is random → life as a statistical fluctuation
  • Everything is predetermined → life as a directed system

Both are insufficient.

The real picture is: systems evolve under physical constraints, while specific trajectories depend on stochastic events

This is closer to complex distributed systems:

  • rules exist
  • constraints exist
  • randomness shapes implementation paths

14. Current State of the Problem

We already understand:

  • formation of organic molecules
  • proto-membrane behavior
  • energy gradient systems
  • possible RNA-based informational systems

But a key gap remains: how exactly chemical networks transition into the first fully functional cell

This is not a lack of data — it is a missing integrative transition model.

15. Final Synthesis

The origin of life is not a binary event (“on/off”).

It is a long engineering process:

  • increasing chemical complexity
  • stabilization of reaction networks
  • emergence of containers
  • emergence of information
  • functional specialization

The system transitions from: chaotic chemistry → controlled evolutionary architecture

16. Randomness and Regularity in Evolution

I. Regular (Deterministic) Stages
Some processes are almost inevitable:

  • formation of cells
  • basic metabolic networks
  • multicellularity

They are energy-efficient and stable under physical constraints.

II. Weakly Deterministic / Rare Stages
However, there are critical bifurcation points:

  • oxygenic photosynthesis
  • emergence of eukaryotes
  • complex multicellular life
  • emergence of intelligence

The transition to eukaryotes is especially critical — it looks like a rare historical “architectural hack”, not a guaranteed upgrade.

Key conclusion: life may be inevitable, but intelligence is not

17. The Silence of the Cosmos and the Drake Equation

If intelligence is rare, the Fermi paradox dissolves naturally.

The galaxy may contain:

  • many microbial biospheres
  • fewer complex ecosystems
  • extremely rare intelligent civilizations

And crucially: they may almost never overlap in time

18. Time as an Underestimated Factor

Even if life is common, timing becomes the limiting variable.

Delays in:

  • oxygen evolution
  • eukaryogenesis
  • climate stabilization

can completely change outcomes.

In systems terms: a working architecture is useless if it does not deploy within its valid time window

19. Role of Geology

Life is not autonomous.

It depends on:

  • geochemistry
  • tectonics
  • ocean composition
  • planetary satellites
  • elemental cycles

In essence: a planet is the infrastructure layer for biological computation

20. Extraterrestrial Civilizations: A Realistic Scenario

Combining all constraints yields an asynchronous galaxy:

  • millions of microbial worlds
  • thousands of complex biospheres
  • a few intelligent civilizations
  • minimal temporal overlap

Conclusion: cosmic silence is not absence of life — it is absence of synchronization

21. Why Does Earth Need Humans?

21.1 The Biosphere is Finite
In ~1.5 billion years, Earth will leave the habitable zone.

This is not speculation — it is stellar physics.

21.2 Humans as a Carrier of Life
Only intelligence can:

  • leave the planet
  • preserve biological information
  • extend the lifespan of the biosphere

This reframes civilization as: a mechanism for survival and expansion of life itself

22. Humans as Part of the Biosphere

Humans are not external destroyers.

They are:

  • part of evolution
  • participants in global cycles
  • agents of redistribution

Historically, Earth already survived:

  • oxygen catastrophe
  • mass extinctions
  • global climate shifts

23. Synthetic Biology and Responsibility

Modern bioengineering:

  • creates new systems
  • does not replace natural ecosystems
  • is often less robust than evolved biology

The main risk is not competition with nature, but: uncontrolled interaction with highly complex adaptive systems

24. Final Philosophical Conclusion

Three core statements:

  • life is a physically inevitable process
  • intelligence is a rare evolutionary outcome
  • civilization is a mechanism for extending life beyond planetary limits

Final Note

If we compress everything into a systems view: The Universe does not “create life”. It gradually tunes conditions under which life becomes a stable operating regime of matter.

And perhaps we are not the goal of this process — but one of its most interesting stable architectures.

Top comments (0)