The cusp of genesis

When Science Encounters Questions Once Left to Theology

“The greatest revolutions are not those that change our tools, but those that change our understanding of what it means to be human.”

A Threshold, Not a Conclusion

Some questions do not arrive as discoveries. They emerge as thresholds.

The accelerating convergence of artificial intelligence, biotechnology, neuroscience and computing has brought humanity to one such threshold. Abilities once confined to myth, philosophy or theology are increasingly entering the domain of scientific research. Genes can be edited, miniature organs can be grown in laboratories, brains can be connected to machines, and artificial intelligence can analyse patterns on a scale beyond unaided human capacity.

None of this makes humanity divine. It does, however, compel a reconsideration of questions that earlier generations explored through different languages.

What distinguishes intelligence from consciousness?

Where is the boundary between invention and creation?

Can capability expand faster than wisdom?

And what happens when scientific progress begins to illuminate territories that were once approached primarily through philosophy, religion and moral reflection?

This series does not attempt to predict the future or to declare that science has solved ancient mysteries. Its purpose is more modest and, perhaps for that reason, more important: to examine how new scientific possibilities are reshaping the questions human beings ask about themselves.

The journey moves through four connected landscapes. It begins with wetware computing, where living human neurons are being incorporated into experimental computing systems. It then turns inward to the hidden intelligence distributed throughout the human body. From there, it explores what genetics, neuroscience and epigenetics can—and cannot—tell us about inheritance, aptitude and human potential. Finally, it asks what kind of civilisation may emerge if artificial intelligence, biotechnology and human creativity continue to evolve together.

Throughout history, transformative technologies have repeatedly forced humanity to reconsider itself. Fire altered survival. Agriculture altered civilisation. Printing altered knowledge. Electricity altered industry. The digital revolution altered communication.

Artificial intelligence and the life sciences may represent another turning point—not because they answer humanity’s oldest questions, but because they make those questions newly unavoidable.

Whether these developments enlarge human freedom or diminish it will depend less upon the technologies themselves than upon the values that guide their creation, governance and use.

That may be the real subject of this work.

PART I: THE INVITATION TO CREATION

Wetware Computing and the Transition from Tool to Living Intelligence

“Science is not only a disciple of reason but also one of romance and passion.” — Stephen Hawking

The Old Distinction

Look at the screen before you.

Then look at your hands.

For most of history, the difference seemed obvious. One belonged to biology; the other to engineering. One grew, healed and evolved. The other was assembled from metal, silicon and plastic.

That distinction is becoming less secure.

Across laboratories in different parts of the world, researchers are exploring ways of combining living human neurons with electronic systems to create new forms of biological computing. What once belonged almost entirely to science fiction has begun, cautiously and experimentally, to enter scientific reality.

The significance of these developments extends beyond technology.

If living tissue can participate in information processing alongside machines, some of the oldest assumptions about intelligence itself begin to require re-examination. Is intelligence defined by the material from which it is built, or by the functions it performs? Is a computer simply a machine, or can biological systems become part of its architecture?

Questions such as these have occupied philosophers for centuries. They are now finding their way into research laboratories.

This chapter explores that frontier—not to suggest that humanity is creating gods, but to ask a quieter and perhaps more important question:

As science acquires capabilities that earlier generations might have regarded as extraordinary, how should the responsibilities that accompany those capabilities be understood?

A Different Question

For decades, computing advanced along a familiar path. Machines became faster by shrinking transistors, increasing processing power and packing ever more components onto silicon chips. Each new generation promised greater speed, lower energy consumption and expanding capability.

That model transformed the modern world. Yet it is approaching practical limits. As components become unimaginably small, engineers confront mounting challenges involving heat, energy efficiency and the physical constraints of conventional materials.

Rather than asking how to build a faster machine, some researchers have begun asking a more fundamental question:

What if the most efficient computer had already been invented by nature?

The human brain weighs little more than one and a half kilograms, consumes roughly the power of a household light bulb, and yet performs feats of perception, learning and adaptation that still challenge the most advanced artificial intelligence. It recognises faces in an instant, learns from remarkably few examples, adapts continuously to changing environments and operates with extraordinary resilience.

For generations, engineers attempted to imitate these abilities through software. A newer line of research explores a different possibility altogether: using living neural tissue itself as part of the computing process.

The idea is as unsettling as it is fascinating.

Instead of merely copying biology, could technology collaborate with it?

That question marks the beginning of wetware computing.

When Living Cells Become Part of the Machine

The term wetware sounds futuristic, but its meaning is straightforward. If hardware refers to physical machinery and software to the instructions that guide it, wetware refers to living biological material used within a technological system.

In recent years, laboratories have successfully cultivated tiny clusters of human brain cells known as brain organoids. These miniature, simplified models do not possess consciousness, emotions or awareness. They are neither miniature brains nor artificial people. Rather, they are carefully grown collections of neurons that enable scientists to study aspects of brain development, disease and neural function under controlled laboratory conditions.

Some research groups have begun connecting such organoids to electronic interfaces. Electrical signals pass between living neurons and computer systems, allowing the biological tissue to respond to stimuli and, under experimental conditions, to adapt its responses over time.

The objective is not to replace conventional computers. Researchers hope instead to understand whether living neural networks might eventually complement digital systems in specialised tasks involving learning, pattern recognition or energy-efficient computation.

These developments remain experimental. Many practical applications lie years away, and significant scientific, engineering and ethical challenges remain unresolved.

Nevertheless, the direction of travel is unmistakable. Biology is no longer merely inspiring technology; in carefully controlled settings, it is beginning to participate in it.

That represents a genuine conceptual shift.

Nature’s Efficiency

Why should scientists even consider using living neurons when modern computers already perform astonishing calculations?

The answer lies in the remarkable efficiency of biological intelligence.

A conventional computer processes information according to precise instructions. It excels at arithmetic, repetitive operations and vast numerical calculations performed at extraordinary speed. Human intelligence works differently. It learns from incomplete information, recognises subtle patterns, adapts to unfamiliar situations and often arrives at effective solutions without consciously analysing every step.

A toddler can distinguish familiar faces, understand tone of voice, recognise danger and begin learning language long before receiving any formal education. These abilities emerge not from millions of lines of computer code but from living neural networks shaped by biology and experience.

Artificial intelligence has made extraordinary progress by modelling some of these processes mathematically. Wetware research asks whether living neural tissue itself might reveal principles that software alone has not yet captured.

In many ways, the laboratory is becoming less a factory and more a student of nature.

A New Frontier of Responsibility

Every major scientific breakthrough eventually presents society with questions that science alone cannot answer.

Nuclear physics led to nuclear medicine—but also to nuclear weapons.

Genetic research has deepened understanding of inherited disease while simultaneously raising difficult questions about gene editing and human enhancement.

Artificial intelligence is already transforming medicine, education and scientific discovery, even as it provokes legitimate concerns about employment, privacy, misinformation and concentrated power.

Wetware computing belongs within that same tradition.

The scientific questions are challenging enough. Can living neural tissue improve certain forms of computation? How stable are these biological systems? What limits govern their capabilities?

The ethical questions may prove even more demanding.

How should living biological material be obtained and used?

What safeguards should govern experiments involving increasingly sophisticated neural systems?

At what point, if any, might a biological computing platform deserve forms of ethical consideration beyond those applied to conventional laboratory tissue?

These are not questions with settled answers. Nor should they be approached lightly.

The history of science suggests that the ability to do something does not automatically justify doing it.

Knowledge expands possibilities.

Wisdom determines which possibilities deserve to become realities.

More Than Better Computers

The deeper significance of wetware research may not lie simply in building better machines.

It may lie in changing how intelligence itself is understood.

For centuries, intelligence was associated either with living organisms or, more recently, with artificial systems constructed from silicon. Wetware challenges that familiar distinction. It suggests that intelligence may be less about the material from which a system is made and more about the dynamic patterns through which information is processed, adapted and learned.

Whether that idea ultimately reshapes computing remains to be seen.

What is already clear is that biology and technology are no longer advancing along entirely separate paths. Increasingly, they are beginning to intersect.

As they do, scientific questions naturally broaden into philosophical ones.

If intelligence can emerge in forms not previously anticipated, how should it be defined?

If machines increasingly borrow from biology, what remains uniquely human?

And if technology one day amplifies cognitive abilities in ways earlier generations could scarcely imagine, will wisdom evolve at the same pace?

These questions carry the journey naturally into its next stage—not into machines, but into the human body itself.

For before asking where intelligence may be going, it becomes necessary to ask where it has always been.

To e continued….

(End of Part I. Next: Part II — The Intelligence Beneath Thought: What the Body Knows Before the Mind Understands.)

(Author: kgsharma1@gmail.com; The writer is a retired officer of the Indian Information Service and a former Editor-in-Charge of India’s national broadcasters. Also worked as an international media consultant with UNICEF Nigeria and contributes regularly to various publications.)