Who Will Write Our Body? A New Manifesto for Life

🇵🇱 Polski
Who Will Write Our Body? A New Manifesto for Life

📚 Based on

On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence ()
Bloomsbury / MIT Press
ISBN: 9780262054898

👤 About the Author

Adrian Woolfson

Genyro

Adrian Woolfson is a British scientist, author, and biotechnology entrepreneur born in London. He studied medicine at Balliol College, Oxford, and completed his doctoral and post-doctoral research in molecular genetics and immunology at the MRC Laboratory of Molecular Biology, Cambridge, under Nobel laureate César Milstein. He served as the Charles and Katherine Darwin Research Fellow at Darwin College, Cambridge. Woolfson is the co-founder of Genyro, a biotechnology company focused on synthetic genome design and construction. His career includes leadership roles in the biopharmaceutical industry, including positions at Sangamo Therapeutics, Pfizer, and Bristol Myers Squibb. A prolific writer, he has authored over 160 scientific publications and contributes regularly to major outlets such as The Wall Street Journal and Science magazine. His work centers on the convergence of artificial intelligence and synthetic biology.

Introduction

Biology is ceasing to be a science of interpreting nature and is becoming a technique for actively designing it. Thanks to Artificial Biological Intelligence (ABI), we are moving from the phase of "reading" the genome to its conscious authorship. This article analyzes how this paradigm shift—from evolutionary chance to intentional synthesis—redefines our understanding of life, politics, and ethical responsibility. The reader will learn why the genome is a system burdened with technical debt, what threats "molecular feudalism" poses, and why biology requires a new constitution to avoid catastrophe.

From reading nature to designing life: a new era of biology

The fundamental change lies in the transition from the hermeneutics of nature to the technique of authorship. ABI allows us to design life forms that evolution never had the chance to create. This is not merely engineering, but a civilizational shift: the species ceases to be the result of blind drift and becomes a project. Xenobiology, which studies alternative codes (e.g., the Hachimoji system), proves that Earth's biology is merely a local contingency. Biosecurity is becoming critical, as ABI allows for the materialization of digital designs in the physical world, which requires regulation at the "bottlenecks" of synthesis.

The genome as code: technical debt and the end of the biological myth

The genome is not a sacred blueprint, but spaghetti code—a chaotic record of billions of years of ad-hoc evolutionary patches. This technical debt makes any attempt at "refactoring" the genome inherently risky. ABI changes our understanding of biology by treating the organism as a dynamic data node—an informiome. Refactoring is insufficient because life does not operate in a logical vacuum; it depends on environment, diet, and stress. Removing "biological clutter" threatens the stability of the organism, as what appears redundant often serves as a buffer against shocks.

Biology as a project: a new constitution for life

The transition to the authorship of life requires a new constitution for the biosphere. The commercialization of ABI carries the risk of molecular feudalism, where health becomes a privilege of the wealthiest, and class inequalities are biologically cemented. The ethical line between therapy and domination is thin: germline modifications are a verdict for future generations. We need distributive justice so that technology serves the common good, rather than just profit optimization. Responsibility for life must extend beyond laboratories to include public policy that shapes our metabolism and resilience.

Summary

Evolution has no "undo" button, and humans should not pretend they invented one in a laboratory. As we become editors of life, we must adopt the role of guardians, not just demiurges. Can we create legal and ethical frameworks that protect us from the hubris of creators and systemic recklessness? The true challenge is not technical efficacy, but wisdom in managing our own fragility. The future of species depends on whether we understand that every intervention we make in the biological code is a political act, requiring full accountability for future generations.

📄 Full analysis available in PDF

📖 Glossary

ABI (Artificial Biological Intelligence)
Sztuczna inteligencja wyspecjalizowana w projektowaniu nowych sekwencji genetycznych i modelowaniu funkcji biologicznych od podstaw.
Informiom
Całościowy zbiór informacji regulujących procesy życiowe, obejmujący geny, epigenetykę, dietę oraz wpływ czynników społecznych i politycznych.
Dług technologiczny ewolucji
Metafora opisująca chaotyczny i nieefektywny sposób zapisu kodu genetycznego, wynikający z miliardów lat doraźnych poprawek ewolucyjnych.
Hermeneutyka natury
Tradycyjne podejście w biologii skupione na interpretacji i opisywaniu istniejących już w przyrodzie form życia zamiast ich tworzenia.
Medycyna sieciowa
Paradygmat postrzegający zdrowie i choroby jako zjawiska wynikające z dynamiki złożonych sieci informacyjnych, a nie pojedynczych genów.
Refaktoryzacja genomu
Praktyka projektowania bardziej przejrzystych i zoptymalizowanych układów biologicznych poprzez usuwanie zbędnych elementów kodu DNA.
Modele Evo
Zaawansowane modele AI zdolne do generowania funkcjonalnych projektów całych genomów, np. wirusów infekujących bakterie.

Frequently Asked Questions

What is the transition from hereditary biology to compositional biology?
This is a paradigm shift in which life is no longer the result of a blind evolutionary past, but becomes a conscious design created using AI.
Why does the author compare the genome to technological debt?
Because evolution acted like a tinkerer, not an architect, creating a system full of flaws and errors that modern engineering is trying to fix.
Is gene editing enough to fully control health?
No, because the body is an informome – a complex system that is also influenced by external factors such as stress, diet or law, not just DNA itself.
What are the real-world applications of AI models like Evo 2?
These models can design fully functional, synthetic bacteriophage genomes, as proven in laboratory tests on E. coli bacteria.
What are the dangers of treating life as a code?
The main threat is technological hubris and the simplification of biology to the level of applications, which ignores the unpredictability of organic processes.

Related Questions

🧠 Thematic Groups

Tags: ABI informiom Evo models technological debt of evolution composition biology hermeneutics of nature network medicine genome refactoring DNA synthesis author's technique genome as software epigenome architecture of the cell nucleus Darwinian evolution biological design